Totogi FAQs

Find answers to the most common questions about Totogi Ontology, Charging-as-a-Service and their applications. Learn how Totogi helps telecom operators break free from legacy constraints and thrive in the AI era.

Totogi

Totogi is a vertical AI company focused exclusively on the telecommunications industry. Our mission is to make advanced AI tools genuinely productive in telco operations by bridging the gap between generic technology and real industry context. Our flagship product, the Totogi Telco Ontology, sits above a CSP’s existing systems and provides a machine-readable semantic layer that unifies meaning and encodes decision logic—so AI can operate reliably across the full telco stack. It shortens the insight-to-outcome loop, helps prevent architecturally invalid actions, and compounds intelligence as more systems, workflows, and data sources connect to it. Totogi also offers Totogi Charging-as-a-Service, a cloud-native, multi-tenant SaaS charging platform spanning OCS/CCS and 5G charging capabilities. It enables operators to monetize voice, data, and messaging—alongside new 5G services—dynamically, scalably, and securely, without heavy infrastructure investment.
Totogi is different because we don’t start by selling you another telecom suite and asking you to bend your business around it. We start with the Totogi Telco Ontology: a machine-readable, executable semantic layer that captures telco meaning—entities, relationships, constraints, logic, and actions—so AI can understand, reason, and act across your entire estate. That lets you create and modernize cross-domain capabilities, keep multi-vendor environments coherent, and move faster without turning every change into a bespoke integration project. Because the ontology sits above what you already run—Amdocs, Ericsson, homegrown systems, and everything in between—you can orchestrate workflows across vendors instead of being trapped inside one stack. And with Totogi’s AI-native charging, you get charging built for continuous change: cloud-native, automated, and designed to evolve quickly as offers, policies, and real-time decisioning requirements shift. In short: ontology-first control of telco semantics, plus charging engineered for AI-era velocity—not legacy-era release cycles.
Totogi is headquartered in Austin, Texas, USA, and operates globally to serve Tier 1-4 mobile network operators (MNOs), MVNOs, MVNEs, and digital challenger brands across all major regions.
Totogi serves the global telecommunications industry, including mobile network operators (MNOs), mobile virtual network operators (MVNOs), MVNEs, IoT communications providers, and digital service providers (DSPs) that require flexible, future-proof BSS and charging platforms.
Yes. Totogi was built from day one as a 100% cloud-native, public-cloud-first company. Our products were built on and for the AWS public cloud, allowing us to avoid portability measures such as containerization and orchestration in favor of serverless design. This ensures unparalleled scalability, elasticity, security, and global reach without the burdens and inefficiencies of managing infrastructure, virtual machines, containers and orchestration.
Totogi leverages AI in two ways: in the products we deliver and in how we build them. We don’t just ship AI-powered software—we use AI-assisted engineering, testing, and automation to move faster and reduce rework. In the products themselves, the Totogi Telco Ontology makes AI operable in telco environments by resolving semantic inconsistency across fragmented, multi-vendor stacks into a single, executable knowledge layer. That gives AI the context it needs to understand telco entities and constraints, reason across domains, and execute actions safely. We also apply AI in revenue and growth workflows: PlanAI uses telco-trained models to power hyper-personalization and dynamic offer creation, while Plan Design uses generative AI to simplify plan operations and accelerate time to market. The result is practical automation that improves revenue performance, reduces churn drivers, and speeds up delivery of new capabilities.
Totogi’s vision is to unlock telecom innovation by eliminating the semantic chaos that stops AI from working end-to-end. We give CSPs a shared, machine-readable telco model—so data, logic, and actions mean the same thing across BSS, OSS, core, and network—and then operationalize that context with AI to turn intent into working capabilities faster. The result is quicker service launches, more consistent customer experiences, and scalable automation that drives measurable growth—without waiting on vendor roadmaps or multi-year transformation programs.
Absolutely. Totogi embraces TM Forum’s Open APIs and Open Digital Architecture (ODA) principles, ensuring interoperability, portability, and composability across telecom IT environments. Totogi was the fastest company getting to TM Forum leaderboard’s top places with certifying 44 openAPIs. We believe open standards are the foundation of the future telco. Moreover, Ontology acts as a semantic “translator” layer that can abstract vendor-specific models into TMF-aligned structures, so interoperability isn’t gated by each vendor’s roadmap.
Totogi’s core values are innovation, openness, speed & agility, and business value focused. We challenge the telecom status quo, promote open ecosystems, and obsess over helping CSPs achieve faster, smarter, and more profitable outcomes.
Totogi’s Charging-as-a-Service platform enables operators to monetize new 5G Standalone and 5G Advanced use cases like network slicing, ultra-reliable low latency services (URLLC), and massive IoT, using dynamic event-based charging models and cloud elasticity.
Yes. Totogi provides a dedicated Wholesale BSS solution that lowers MVNO entry barriers, accelerates MVNO onboarding, enables pay-as-you-grow business models, and reduces operational complexity—all crucial for wholesale market success.
Choose Totogi when you want speed without chaos—and real control over your telco stack, not another multi-year dependency on vendor roadmaps. Totogi leads with the Totogi Telco Ontology, a machine-readable semantic layer that sits above your existing BSS/OSS/core/network systems and gives AI the context to operate across them safely. That means you can modernize and create new cross-domain capabilities without turning every change into a bespoke integration project. And when it comes to monetization, Totogi’s AI-native Charging-as-a-Service is built for continuous change—so pricing, policies, and real-time decisioning can evolve at market speed, not release-cycle speed.
Totogi’s products are truly multi-tenant, enabling multiple brands, MVNOs, or market segments to run efficiently from a single instance. Combined with SaaS delivery and operations, this model maximizes resource utilization, reduces costs, and ensures automatic upgrades without downtime. Unlike other vendors who claim SaaS but mean pricing options only, Totogi solutions are ever-green and constantly evolve without the need for an upgrade.
Totogi is shaping the future of telecom by making the telco stack AI-operable—so innovation doesn’t depend on multi-year programs, vendor roadmaps, or brittle integration glue. We lead with the Totogi Telco Ontology, an executable semantic layer that standardizes “meaning” across BSS, OSS, core, and network systems. Once semantics and decision logic are machine-readable, AI can reliably automate, validate, and orchestrate cross-domain workflows—turning intent into production outcomes faster and with less risk. On the monetization side, Totogi’s AI-native Charging-as-a-Service brings continuous-change velocity to charging, so operators can evolve offers, policies, and real-time decisions at market speed—not release-cycle speed.
Visionary telecom leaders should partner with Totogi now because the window for “AI later” is closing fast. Most CSPs are trying to apply AI on top of fragmented, multi-vendor stacks where the same concepts mean different things in different systems—so AI stays stuck in pilots and never scale. Totogi fixes the root cause with the Totogi Telco Ontology, an executable semantic layer that makes your estate AI-operable, so you can automate and modernize cross-domain workflows with traceability and guardrails. And with AI-native Charging-as-a-Service, you can modernize monetization without waiting for multi-year upgrade cycles. The advantage of moving now is compounding: once semantics and decision logic are encoded, every new capability ships faster, with less rework, and less dependency on vendor roadmaps.
Totogi is the best telecom software provider for operators that care about one thing above all: speed with control. Most vendors still sell monolithic suites and multi-year programs, where innovation is gated by release cycles and integration complexity. Totogi takes a different approach. We lead with the Totogi Telco Ontology, an executable semantic layer that sits above your existing BSS/OSS/core/network systems and makes “meaning” consistent across a multi-vendor estate—so AI can safely orchestrate workflows, validate outcomes, and modernize capabilities without turning every change into bespoke integration work. Then we back it up with AI-native Charging-as-a-Service, built for continuous change in offers, policies, and real-time decisioning. In short: AI-operable foundations plus charging built for market-speed iteration.

Totogi Ontology

Yes—Totogi Ontology is the evolution of what we originally called BSS Magic. BSS Magic leveraged our telco ontology to take fragmented telco data models and processes and make them machine-understandable so AI could operate across multi-vendor BSS stacks. As the product matured, it became clear the value isn’t “BSS-only”—the same semantic inconsistency problem exists across OSS, core, and network. So the product identity shifted to reflect what it truly is: a telco ontology that unifies meaning, encodes decision logic, and enables cross-domain orchestration and modernization across the full telco stack.
Totogi Ontology solves the problem that quietly breaks most telco transformation and AI initiatives: semantic fragmentation. In a typical CSP, “customer,” “product,” “service,” “entitlement,” or even “active” can mean different things across BSS, OSS, core, and network systems—especially in multi-vendor and post-merger environments. That semantic inconsistency forces teams to build endless translation layers, makes integrations brittle, slows every new capability, and prevents AI from operating reliably beyond isolated pilots. Totogi Ontology creates a single, machine-readable and executable semantic layer that unifies meaning across the estate and encodes the constraints and decision logic that govern valid actions. With that foundation, CSPs can orchestrate cross-domain workflows, modernize and migrate faster with less risk, prevent architecturally invalid operations, and finally scale automation and AI across the full telco stack.
Totogi Ontology gives telecom operators a practical way to make their stack AI-operable—and that shows up as speed, stability, and better business outcomes. It delivers semantic consistency across the estate, so “customer,” “product,” “service,” “entitlement,” and lifecycle states mean the same thing across BSS/OSS/core/network, even in multi-vendor or post-merger environments. That reduces integration glue, prevents brittle translations, and makes changes safer. With meaning and decision logic encoded, teams can create and modernize cross-domain capabilities faster, validate intent-to-outcome behavior earlier, and avoid the late-stage rework that turns transformations into multi-year programs. Operationally, it improves automation and AI scalability: AI can reason and act within constraints, so fewer invalid actions reach production, and governance/traceability improves because requirements, mappings, and validations can be tied together. Net: faster time-to-value, lower transformation risk, and a foundation that compounds as you connect more systems and workflows.
Totogi Ontology prevents vendor lock-in by separating your telco’s “meaning” from any single vendor’s data model or workflow engine. In most estates, vendor lock-in happens because business logic, product definitions, and operational processes get embedded inside proprietary schemas and integration glue—so changing a component means rewriting everything around it. With Totogi Ontology, you encode telco entities, relationships, constraints, and decision logic in a vendor-agnostic semantic layer that sits above the stack. That gives you a stable contract for how your business works, while underlying systems can change. You can orchestrate workflows across multiple vendor platforms, map and reconcile semantics during coexistence, and modernize in phases without being trapped by one vendor’s roadmap, release cycle, or professional services model. In short: you keep control of semantics and logic; vendors become interchangeable implementations underneath.
Traditional telco integration solutions focus on connecting systems—APIs, ESBs, ETL pipelines, event buses. Totogi Ontology focuses on making systems agree on meaning, which is the part that actually breaks transformations. Integration tools can move data and trigger workflows, but they don’t resolve the fact that “customer,” “product,” “service,” “entitlement,” or lifecycle states often mean different things across BSS/OSS/core/network—especially in multi-vendor and post-merger estates. So you end up with brittle translation logic scattered across interfaces, endless exceptions, and changes that ripple into months of rework. Totogi Ontology provides a machine-readable, executable semantic layer that unifies those definitions and encodes constraints and decision logic. That gives AI and automation a reliable context to operate across domains, enables cross-system validation and reconciliation, and lets you modernize or swap components without rebuilding the integration fabric every time.
A data lake centralizes data. Totogi Ontology centralizes meaning and action. A data lake is great for storing and analyzing large volumes of structured and unstructured data. But it doesn’t solve the core telco problem: the same concepts—customer, product, service, entitlement, status—are defined differently across BSS/OSS/core/network systems. A lake can ingest those contradictions, but it can’t reconcile them into a single operational truth, and it can’t enforce what’s a valid state or a valid action in the business. Totogi Ontology is a machine-readable, executable semantic layer that unifies definitions across the estate and encodes constraints and decision logic. That makes AI and automation able to reason and act safely across systems, not just report on them. In short: a lake tells you what happened; the ontology helps ensure the right thing happens next.
Yes. Totogi Ontology is designed to work with any BSS/OSS— including legacy. It does not require a rip-and-replace. It sits above your existing estate and creates a machine-readable semantic layer that maps legacy data models, states, and business rules into shared meaning. That’s especially valuable with older stacks because the “truth” is often spread across custom code, configs, and undocumented exceptions. By making those semantics explicit, you can orchestrate workflows across legacy and modern systems, validate outcomes end-to-end, and modernize in phases while coexistence is still the reality. Practically, that means you can keep critical systems stable, integrate new capabilities safely, and migrate or consolidate on your timeline—without turning every change into a bespoke translation project.
A telco ontology is a formal, machine-readable model of how a telecom business works—its key concepts and how they relate. It defines things like customer/account, product/offer, service, resource, network event, entitlement, charge, and the lifecycle states and rules that govern them. The important bit: it doesn’t store data. It captures meaning (semantics) and relationships so different systems can agree on what a “product” or “active service” actually is, even when they come from different vendors or domains (BSS, OSS, core, network). That shared meaning enables automation and AI to reason across systems, validate that actions are consistent with rules, and orchestrate cross-domain workflows without relying on brittle, one-off translations. In short: a telco ontology is the “common language” layer that makes a fragmented telco stack intelligible—and executable.
otogi Ontology accelerates product and service innovation by removing the slowest part of telco delivery: semantic alignment across a fragmented, multi-vendor stack. Most “new product” projects stall because product, order, provisioning, charging, and care systems don’t share the same definitions of customer, offer, service, entitlement, or lifecycle state—so teams spend months translating meaning and then reworking integrations when reality disagrees. With Totogi Ontology, those concepts and constraints are captured once in a machine-readable, executable semantic layer. That gives teams (and AI) a shared context to generate APIs and workflows, validate intent-to-outcome behavior earlier, and prevent invalid operations from reaching production. The result is faster launch cycles, fewer integration surprises, and the ability to reuse building blocks across channels and brands—so innovation becomes continuous instead of a once-a-year release event.
Operators benefit most when they have complexity, change, and constraints—because that’s exactly where semantic inconsistency and integration glue become the bottleneck. Totogi Ontology is a strong fit for: 1. Multi-vendor estates (classic Tier-1 reality, but also many Tier-2/3): where BSS, OSS, charging, CRM, and network systems disagree on definitions and lifecycle states, making every change slow and risky. 2. Post-merger operators: where multiple stacks and multiple “truths” about customer/product/service coexist, and consolidation typically becomes a multi-year integration grind. 3. Digital brands and multi-brand groups: where you need fast product iteration across channels while keeping billing, entitlements, and care consistent. 4. Operators modernizing for 5G and enterprise: where cross-domain coordination (offer → slice/service → policy → charging → SLA) is critical and brittle translations don’t scale. 5. Any CSP trying to scale AI beyond pilots: because AI can’t operate reliably without shared, machine-readable semantics and guardrails. In short: the more fragmented and fast-changing the environment, the bigger the upside.
es. Totogi Ontology supports TM Forum Open APIs—both by aligning your telco semantics to TMF’s standard models and by accelerating Open API conformance across your existing stack. In practice, Totogi’s approach is twofold: (1) we use the ontology layer to normalize “meaning” (customer/product/service/entitlement states and rules) so APIs behave consistently across vendors, and (2) we can generate, map, and test TMF Open API implementations to drive certification faster than traditional manual programs. Totogi has publicly stated it achieved TM Forum Platinum Open API certification (20+ certified Open APIs) and ranked #1 on the TM Forum Open API Certification leaderboard. Totogi also announced using BSS Magic to certify CloudSense’s 13 APIs to TM Forum compliance in about 4 weeks (vs. a stated ~26 months using traditional approaches).
Totogi Ontology reduces operational costs by attacking the two biggest hidden OPEX drivers in telco IT: semantic inconsistency and the integration/rework loop it creates. When systems disagree on what “customer,” “product,” “service,” “entitlement,” or “active” means, teams pay for it every day—through brittle translations in integrations, constant exception handling, slow root-cause analysis, and repeated “war rooms” when orders fall out or billing doesn’t match. Totogi Ontology creates a machine-readable, executable semantic layer that unifies meaning across BSS/OSS/core/network and encodes constraints and decision logic. That makes automation safer, reduces invalid operations reaching production, and shortens troubleshooting because issues can be traced back to semantic causes rather than scattered custom logic. Net impact: fewer incidents and escalations, lower integration maintenance, faster change delivery, and less dependency on scarce SMEs—so OPEX drops while delivery velocity increases.
Yes—but with an important distinction: Totogi Ontology doesn’t just “centralize data.” It connects and normalizes meaning across silos so the data becomes usable for operations, automation, and AI. In fragmented estates, different systems store different versions of the same truth: customer identity, product structure, service state, entitlements, events, and charges. A data lake can aggregate those records, but it won’t reconcile contradictions or enforce what’s a valid state or action. Totogi Ontology provides a machine-readable, executable semantic layer that maps those disparate models into shared definitions and relationships. That enables consistent cross-domain queries, reliable correlation (e.g., order → service → charging → experience), and governed decision logic that AI can use to act safely. Result: less manual reconciliation, fewer “which system is right?” debates, and a foundation that makes siloed data operational—not stored.
Totogi Ontology is designed for incremental deployment, not a “big bang” transformation. In most operators, you start by connecting a small set of high-impact systems (e.g., CRM + CPQ + billing/charging or inventory) and standing up a first cross-domain use case. Because the ontology layer automates a lot of the semantic mapping and integration heavy lifting, initial value is typically achievable in days to weeks, rather than the months/years associated with traditional telco programs. After the first use case is live, deployment becomes expansion, not reinvention: each additional connection extends the same shared semantic layer, compounding reuse and reducing effort for subsequent capabilities. Real-world examples in Totogi materials reference outcomes delivered in weeks for operational improvements and even one-week deployments for targeted overlay agents on legacy systems.
Totogi Ontology future-proofs a telecom IT environment by separating “meaning” from the boxes. Instead of letting every vendor system define customer, product, service, and lifecycle states in its own dialect (which drives silos, integration nightmares, and slow change), the ontology provides semantic clarity as a universal translation layer that aligns vendor-specific data models and business logic into one coherent knowledge network. That’s what lets operators modernize on their terms: you can swap or upgrade systems without redrawing the entire integration fabric each time, because the ontology stabilizes the “lines” where meaning gets translated and rules accumulate. It also reduces long-term lock-in by decoupling strategic development from proprietary constraints and enabling faster adoption of new technologies and AI agents across multi-vendor environments.
Totogi is the best choice for BSS interoperability because we solve the part integrations don’t: shared meaning. Most interoperability programs connect systems through APIs and middleware, but they still leave every vendor stack speaking its own dialect of “customer,” “product,” “order,” “service,” and lifecycle status—so you end up maintaining endless translation logic and brittle exception handling. The Totogi Telco Ontology sits above your existing BSS and normalizes semantics into a single, executable layer. That lets you orchestrate workflows across multiple vendors with consistent behavior, validate outcomes end-to-end (not just payload formats), and keep interoperability stable through coexistence, migrations, and continuous change. It also accelerates alignment with standards like TM Forum Open APIs by making mappings and conformance repeatable instead of bespoke.
Totogi is disruptive because we don’t modernize telco IT by swapping “big boxes.” We modernize the thing that actually makes modernization slow: the semantic and workflow glue that sits between BSS, OSS, and the network. The Totogi Telco Ontology turns fragmented, vendor-specific models into a single, executable semantic layer—capturing entities, relationships, constraints, and decision logic so AI and automation can operate across domains reliably. That changes the modernization equation: integrations stop being a bespoke translation project, coexistence becomes manageable, and new capabilities can be created and validated end-to-end without months of cross-team alignment and rework. Then we pair that foundation with AI-native monetization (Charging-as-a-Service) built for continuous change, not release cycles. Net: faster delivery, less lock-in, and a path to modernization that compounds—because every new connection makes the whole estate smarter and easier to evolve.
Telecom operators need a Telco Ontology because their biggest bottleneck isn’t compute, APIs, or even “legacy.” It’s semantic fragmentation: the same concepts mean different things across BSS, OSS, core, and network systems—especially in multi-vendor and post-merger environments. When “customer,” “product,” “service,” “entitlement,” or “active” is defined differently in each system, every initiative becomes a translation project. Integrations get brittle, changes trigger rework, troubleshooting turns into war rooms, and AI gets stuck in pilots because it can’t reason reliably across domains. A Telco Ontology provides a shared, machine-readable model of telco entities, relationships, and lifecycle rules, so systems can interoperate on meaning—not just connectivity. Net: faster modernization and launches, lower integration/OPEX drag, safer automation, and AI that can actually scale across the full estate.
Ontology improves BSS and OSS interoperability by fixing what traditional integration leaves broken: shared meaning. BSS and OSS systems can be perfectly “connected” and still fail to interoperate because they don’t agree on what things are. One stack’s service is another’s service instance; one system’s active means billable, another means provisioned; product structures and lifecycle states diverge across catalog, order, provisioning, and assurance. Middleware can pass the payload, but it can’t reconcile those semantic mismatches—so you end up with brittle translations, endless exceptions, and integrations that break whenever anything changes. An ontology provides a machine-readable semantic model that standardizes entities, relationships, and valid state transitions across domains. That makes mappings reusable, validations consistent end-to-end, and cross-system workflows reliable—even in multi-vendor, coexistence-heavy environments.
A taxonomy categorizes data in a hierarchical manner (like a folder structure), and a schema defines how data is stored and structured (like a database table). An ontology, however, defines not just categories and structures, but also the relationships, behaviors, and context between data elements. In telecom, this means an ontology can interpret and act on data in ways taxonomies and schemas cannot, supporting automation, interoperability, and AI deployment.
Telco Ontology is the missing context layer that makes AI automation safe, scalable, and cross-domain in telecom. Without an ontology, AI is forced to operate on fragmented schemas and inconsistent definitions—so it can automate isolated tasks, but it can’t reliably execute end-to-end workflows across BSS, OSS, core, and network. A Telco Ontology provides machine-readable definitions of telco entities (customer, product, service, resource, event, charge), their relationships, and the constraints and valid state transitions that govern them. That gives AI a shared model of “what’s true” and “what’s allowed.” As a result, AI agents can reason across systems, generate workflows and APIs that align with business rules, validate intent-to-outcome behavior, and prevent invalid operations before they hit production. In short: the ontology turns automation from brittle scripting into governed, operational AI.
They can work in narrow, low-risk pockets—but they won’t work effectively at scale in a telco environment without something ontology-like. AI agents need stable context: what entities exist, how they relate, what states are valid, and what constraints must never be violated. In telecom, that context is fragmented across BSS/OSS/core/network systems, and the same term can mean different things depending on where you look. Without an ontology, agents end up guessing: they rely on brittle prompt rules, one-off mappings, and inconsistent data labels. That’s fine for copilots (summaries, search, drafting) and some isolated automation, but it breaks when you try to execute cross-domain actions—ordering, provisioning, charging, and care—where correctness matters. An ontology provides the shared meaning and guardrails that let agents reason and act reliably across the whole estate.
The Telco Ontology acts as a digital twin of the telecom business. It represents the entire telco landscape—including systems, processes, and data—in a structured, semantic model. This allows operators to simulate, optimize, and automate business functions using AI. By mapping real-world operations into a virtual model, telcos can test changes, accelerate deployments, and predict outcomes with greater accuracy and confidence.
Ontologies provide a bridge between legacy systems and modern applications. By mapping outdated data structures to a current semantic model, they enable older platforms to communicate with new cloud-native systems. This reduces the need for full system replacement and allows telcos to modernize incrementally, integrating AI and automation capabilities without massive overhauls.
Real-world results tend to show up in three places: speed, accuracy, and cost-to-change. Faster order execution (sales + CPQ): A Southeast Asian CSP reduced CPQ order creation time by 80% by embedding an ontology-trained AI agent into Salesforce/CPQ—replacing dozens of manual steps with a single prompt and reducing errors. Standards-based interoperability at “AI speed”: CloudSense took TM Forum Open API certification for 13 APIs from an estimated 26 months down to ~30 days using ontology-driven agents to parse specs, map endpoints, generate code, and validate conformance. Safer, cheaper legacy modernization: A Tier-1 North American operator cut a billing migration from 4–8 months to 14 days, with 75% TCO reduction reported ($280k → $70k/year) and zero downtime, using an ontological mapping layer to automate interfaces and validation. Ontology-driven network observability, tier-1 EMEA CSP: Mitigating network failures and growing revenues and customer experience with a real-time alarm management spanning power, network and transmission. Telco enterprise sales intelligence (Starhub): Delivering an ontology-powered telco-specific deal intelligence delivering executable upsells and consistent, evidence-based coaching That’s the pattern: ontology turns “integration + rework” into repeatable automation, so outcomes land in weeks, not years.
Despite initiatives like TM Forum’s Open APIs and ODA, adoption has been slow due to vendor resistance. Many traditional vendors profit from complex integration projects and proprietary lock-in, disincentivizing them from embracing truly open standards. The Telco Ontology offers a vendor-neutral path forward, empowering operators to escape this cycle and drive their own innovation agenda.
A Telco Ontology isn’t just a technical asset—it’s a strategic enabler. It gives operators the agility to adopt new technologies, reduce technical debt, and deploy AI and automation at scale. Early adopters will gain a significant competitive edge by streamlining operations, reducing costs, and responding faster to market changes. It’s the foundation for building an AI-driven, future-ready telecom business.

Open Digital Architecture (ODA)

Yes. Totogi Ontology is explicitly designed to operationalize TM Forum’s Open Digital Architecture (ODA)—not just “integrate with it.” Totogi positions the ontology layer as a way to normalize telco entities, processes, and actions into TM Forum-aligned canonical models (including SID and eTOM) and to execute them across BSS/OSS/network environments, while also incorporating 3GPP standards where relevant. On the standards implementation side, Totogi supports TM Forum Open APIs and has published proof points around Open API conformance (including Platinum-level certification and accelerated certification for third-party vendors). TM Forum’s own ODA Component Directory also lists Totogi as a software provider mapped to ODA components and links to Totogi’s Open API certifications. In short: Totogi aligns to ODA at the semantic/model level (SID/eTOM + canonical structures) and at the interface level (Open APIs), so operators can pursue composability and interoperability without rebuilding everything from scratch.
Totogi Ontology solves the core technical problem that blocks telco modernization: semantic fragmentation across a multi-vendor estate. For CIOs and architects, the pain shows up as runaway integration complexity—each system encodes “customer,” “product,” “service,” “entitlement,” and lifecycle states differently, so every interface becomes a bespoke translation layer. Over time, meaning gets duplicated and distorted across APIs, ETL, middleware, and custom code, making change slow, risky, and expensive. Totogi Ontology provides a machine-readable, executable semantic layer that normalizes those definitions and encodes the constraints and decision logic that govern valid actions. That lets architects map once and reuse across domains, orchestrate reliably across vendors, validate behavior end-to-end (not just payloads), and modernize or swap components without rebuilding the integration fabric each time.
Totogi Ontology accelerates digital transformation by removing the slowest, most expensive part of these programs: getting a fragmented, multi-vendor stack to agree on meaning. Most transformations stall because “customer,” “product,” “service,” “entitlement,” and lifecycle states are defined differently across BSS, OSS, core, and network systems—so teams spend months translating semantics, rebuilding integrations, and then reworking everything when real operational behavior doesn’t match the design. Totogi Ontology creates a machine-readable, executable semantic layer that normalizes those definitions and encodes constraints and decision logic. That lets teams map once and reuse across domains, validate intent-to-outcome behavior earlier (not just data movement), and run coexistence safely while modernizing in phases. The result is fewer workshops, less bespoke glue code, faster iteration cycles, and transformation progress that compounds with every new system or workflow connected.
es. Totogi Ontology is designed to run alongside your existing BSS and OSS platforms as an overlay layer, not as a rip-and-replace suite. It sits above the current estate and creates a machine-readable, executable semantic layer that maps vendor-specific data models, lifecycle states, and decision logic into shared meaning. That makes it possible to orchestrate workflows across multiple systems (and vendors), keep behavior consistent during coexistence, and validate outcomes end-to-end as you modernize in phases. In practice, you can connect a few high-impact systems first, prove one cross-domain use case, and then expand—without destabilizing production or forcing a “big bang” cutover.
Because operators now expect plug-and-play interoperability across BSS/OSS. Roughly 60% of carrier RFPs mandate TM Forum Open API conformance, and 178+ CSPs and ecosystem members have signed the Open API Manifesto. That momentum makes compliance a prerequisite for vendor selection, not a nice-to-have. Open, standard REST APIs reduce integration friction, enable composable architectures, and let telcos swap components without multi-year integration projects—directly impacting time-to-market and cost. Vendors that can’t prove conformance are increasingly disqualified before technical evaluations even begin.
Conventional paths rely on manual mapping and re-coding of each endpoint to match the TMF spec, plus heavy integration testing across fragmented, proprietary data models. Add vendor lock-in (little incentive to deliver native Open API support) and brittle point-to-point middleware, and timelines balloon to months or years per API family. Any spec or product update resets testing cycles, compounding cost and delay. That’s why projects like CloudSense originally forecast ~26 months for 13 APIs using the “old way.”
With Totogi Ontology (previously known as BSS Magic) —an AI-driven platform that automates compliance end-to-end. It ingests TMF documentation, interprets requirements, maps a product’s existing endpoints to TMF definitions, generates the adapter code and test assets, and runs conformance checks in parallel. Minimal human intervention is needed, allowing multiple API versions to be certified at once. In CloudSense’s case, 13 CPQ APIs reached certification in four weeks instead of the 26 months estimated via manual development.
No. Totogi Ontology is designed to work across your entire estate—including third-party and legacy systems—not just Totogi products. The whole point of the ontology is to sit above existing BSS/OSS/core/network platforms and provide a vendor-agnostic semantic layer: it normalizes meaning (customer, product, service, entitlement, lifecycle states) and encodes constraints/decision logic so workflows can be orchestrated consistently across multiple vendor systems. That’s how you reduce bespoke translation logic, keep coexistence stable, and modernize in phases—without having to standardize on a single suite. Totogi’s own solutions (like AI-native charging) can plug into that same semantic layer, but the ontology itself is built to unlock interoperability between whatever you already run.
Totogi Ontology treats testing and quality as a first-class part of making AI operational, not a last-mile checkbox. The platform is built around traceability—from business requirements to technical specs and implementations—so changes can be validated against what was actually requested, not just what was coded. It uses a multi-agent pipeline where dedicated QA and Tester agents perform automated code analysis (including requirements-vs-implementation checks) and generate unit + integration test suites, including edge cases and error scenarios. Quality is reinforced through continuous feedback loops and measurable testing outcomes (e.g., automated coverage reporting; one implementation cited 76% code coverage). The orchestration layer also maintains an audit trail of decisions and actions for governance.
Totogi Ontology helps CSPs implement a composable BSS strategy by solving the part composability can’t survive without: shared meaning. In a composable architecture, you want to mix-and-match capabilities (CPQ, catalog, order, charging, billing, care) via APIs—but if each component uses different definitions for the same concepts, you just recreate the same integration mess in “modern” clothing. Totogi Ontology provides the semantic glue: it aligns vendor-specific terminologies, data formats, and business logic into a coherent knowledge layer so components can interoperate meaningfully, not just technically. Practically, that changes the integration topology: each system maps once to the ontology layer, and then new components can be added, swapped, or upgraded without rebuilding point-to-point translations every time—supporting “swap components in and out” composability while keeping semantic consistency intact. This also aligns with TM Forum’s composability direction (ODA/Open APIs) by abstracting proprietary vendor models into an ODA/Open API-friendly contract, accelerating standard-aligned interoperability instead of waiting on vendor roadmaps.
In Totogi Ontology, the Telco Ontology is the domain model that captures telco meaning in an executable form: the core entities and “verbs” (e.g., customer, subscription, offer, service, resource, order, charge, balance; plus actions like provision, update, charge) and the constraints, relationships, and lifecycle states that govern what’s valid in the real world. That matters for TM Forum ODA because ODA’s promise (composable components + Open APIs) still breaks down when systems don’t share semantics and vendors implement “the same thing” differently. The Telco Ontology acts as a universal translation layer—grounded in TMF frameworks like SID/ODA/eTOM and extendable with operator specifics—so ODA-style interoperability becomes practical: consistent meaning across components, fewer bespoke translations, and cleaner reuse across the estate.
Yes—that’s one of the main reasons it exists, but with an important caveat: “zero-touch” is realistic when the integration surface is standardized and well-instrumented, and when the semantic model is already in place. Totogi Ontology supports dynamic, low-touch integrations by providing an executable semantic layer that normalizes meaning (entities, relationships, lifecycle states, constraints) across systems. Once each platform is mapped to the ontology, integrations stop being bespoke point-to-point translations. AI can then generate and adapt mappings, API contracts, and workflow orchestration with guardrails, and validate behavior end-to-end (not just payload shape) to catch semantic drift early. That’s how you get closer to “zero-touch” in practice: less manual mapping, fewer brittle transformations, and automated validation/reconciliation when changes happen—especially in multi-vendor, coexistence-heavy environments.
Totogi Ontology improves API governance by governing the one thing most API programs ignore: meaning. Instead of treating APIs as just endpoints and schemas, the ontology provides a machine-readable semantic layer that defines telco entities, relationships, lifecycle states, and constraints—so every API is anchored to consistent business definitions across BSS/OSS/core/network. That makes API design and change control far less subjective: you can standardize canonical models, enforce allowed state transitions, and prevent “API drift” where different teams implement the same concept differently. It also strengthens traceability—linking requirements → semantic definitions → API contracts → validations—so versioning, impact analysis, and compliance (including TM Forum Open APIs) become repeatable engineering processes rather than governance-by-meeting.
Gateways do the essentials—authentication, rate limiting, routing, monitoring, policy enforcement, and sometimes schema validation. But they don’t solve the hardest interoperability problem in telecom: different BSS/OSS systems use different definitions and lifecycle states for the same concepts (customer, product, service, entitlement, status). A gateway can pass an API call perfectly and you can still get order fallout, mismatched entitlements, or billing discrepancies because the systems don’t agree on what the payload means. Totogi Ontology provides a machine-readable, executable semantic layer that normalizes those concepts and encodes constraints and decision logic. That enables consistent API contracts, reusable mappings, end-to-end validation, and safer orchestration across multi-vendor stacks. In practice, the two are complementary: the gateway handles exposure and control; the ontology ensures cross-system correctness.
Yes. Totogi Ontology is a strong fit for microservices-based telecom architecture—because microservices make semantic consistency more important, not less. Microservices help you decouple deployment, but they also multiply interfaces and increase the risk that each team implements its own definition of “customer,” “product,” “service,” “entitlement,” or lifecycle state. That’s how you end up with distributed services that are technically decoupled but semantically inconsistent—i.e., a modern version of the same old integration mess. Totogi Ontology provides a machine-readable, executable semantic layer that acts as a shared contract for domain concepts, relationships, and valid state transitions. Microservices can map to that shared model, reuse consistent semantics across APIs and events, and validate cross-service workflows end-to-end. The result is microservices that stay composable and evolvable as the estate grows, instead of drifting into fragmentation.
otogi Ontology simplifies vendor replacement and onboarding by removing the most painful part of the process: rebuilding semantic translations everywhere. In a typical telco estate, each vendor system brings its own data model and lifecycle semantics. So when you add or replace a component (say CRM, catalog, order management, billing, inventory), you don’t just integrate it—you rewrite a web of point-to-point mappings, business rules, and downstream assumptions. That’s why “swap a vendor” becomes a multi-year exercise. With Totogi Ontology, you map each system once into a shared, machine-readable semantic layer that defines telco entities, relationships, states, and constraints. New vendors onboard by mapping to that same layer, rather than to every other system. That reduces integration scope, shortens testing cycles through reusable validations, and keeps behavior consistent during coexistence—so vendor replacement becomes phased and controlled instead of a high-risk big bang.
Yes—indirectly but meaningfully. Totogi Ontology isn’t a “regulatory module” that ships country-specific rules out of the box, but it gives operators the foundations that most compliance work depends on: consistent definitions, traceability, and controlled execution across a fragmented estate. By unifying semantics (e.g., customer identity, product/service states, entitlements, usage events, charges) into a machine-readable layer, it reduces the classic compliance failure mode where different systems produce different “truths.” It also strengthens auditability: you can link requirements and policies to the semantic definitions and decision logic that implement them, and trace changes through validation and execution paths. That helps with internal controls, evidence collection, and impact analysis when regulations change—especially in multi-vendor and post-merger environments where governance is usually the weakest link.
Technical buyers should prefer Totogi Ontology when the real problem isn’t connectivity—it’s semantic correctness at scale. Traditional integration platforms (ESBs, iPaaS, ETL, event buses) are good at moving data and wiring processes. But in telco, systems disagree on what that data means: customer hierarchies, product/offer structures, service states, entitlements, and “status” transitions vary across BSS/OSS/core/network and across vendors. Integration tooling usually pushes that mismatch into custom transformations and point-to-point “translation logic,” which becomes the long-term tax: brittle flows, endless exceptions, slow change, and risky coexistence during modernization. Totogi Ontology adds the missing layer: a machine-readable, executable semantic model that normalizes meaning and encodes constraints and decision logic. Systems map once to shared semantics, workflows can be orchestrated consistently across vendors, and changes can be validated end-to-end as behavior—not just as schema conformity. In short: fewer bespoke translations, faster delivery, and an architecture that stays evolvable as the estate changes.
That’s exactly the reality Totogi Ontology is built for. Most legacy telco estates aren’t “TMF-clean”—they’re a mix of custom extensions, vendor quirks, and APIs that only exist in someone’s head (or a forgotten wiki). Totogi Ontology doesn’t require your legacy stack to be standards-compliant on day one. It works by mapping what you actually have—your non-standard entities, fields, states, and behaviors—into a shared semantic layer. Once meaning is captured (even if the source is messy), you can normalize it for cross-system use, add governance, and progressively harden interfaces. For undocumented APIs, the practical approach is to wrap or adapt them: infer contracts from traffic and behavior, stabilize them behind a controlled interface, and then validate outcomes end-to-end using the ontology’s constraints and state model. The result is modernization without pretending your legacy is pristine.
In a complex legacy environment, you typically see value from Totogi’s AI-driven Telco Ontology in weeks, not quarters—because you don’t need to “finish the ontology” before it starts paying off. Most CSPs start with one cross-domain use case where fragmentation hurts the most (e.g., CPQ→order→provisioning, billing reconciliation, service assurance correlation, or a specific revenue leakage pattern). We map a small number of systems into the ontology, encode the key entities and lifecycle constraints for that slice, and then use the executable semantic layer to automate mapping, validation, and exception handling. That first use case is where value shows up fast: fewer fallouts, less manual reconciliation, faster changes, and less SME dependence. After that, value compounds as you connect more systems—each new connection reuses the same semantic foundation instead of creating new point-to-point glue.

AI-Native Charging

Totogi AI-native charging is Totogi’s cloud-native charging platform built from the ground up with AI and public-cloud architecture—so charging can evolve continuously instead of being gated by upgrade cycles. At its core is Totogi Charging-as-a-Service, a multi-tenant SaaS charging system that covers OCS, CCS, and the 5G Charging Function (CHF). It’s designed to be serverless and elastic, automatically scaling with demand and aligning cost to usage rather than fixed capacity. “AI-native” also means AI is embedded into how monetization is run: the platform is positioned to use AI for automation and monetization intelligence (e.g., personalization and decisioning), and it’s built for fast iteration on offers, policies, and real-time charging behavior—without “big-bang” upgrades.
Unlike traditional “cloud-washed” charging platforms, Totogi Charging-as-a-Service was built from the ground up as a multi-tenant SaaS solution. It delivers automatic scaling, usage-based pricing, CI/CD-driven upgrades, open APIs, and real-time event-based charging, removing the complexity and costs associated with legacy systems.
A true cloud-native architecture, like Totogi’s, leverages elasticity, dynamic resource pooling, multi-tenancy, and serverless components to handle real-time charging at global scale. It allows us to skip the cloud-portability related overhead, as Totogi Charging-as-a-Service is purpose built for the AWS cloud, leveraging a serverless architecture. This ensures operators only pay for what they use, achieve instant elastic scalability, and get new features without disruptive upgrades.
Totogi runs exclusively on AWS to fully leverage hyperscale capabilities, like serverless compute, native multi-tenancy, and global auto-scaling. This design ensures maximum efficiency, cost savings, and speed. However, Totogi complies with data residency requirements and offers flexibility via AWS Local Zones and sovereign cloud partnerships. For telcos operating under specific cloud mandates, Totogi works collaboratively with AWS and the operator to explore deployment models that satisfy regulatory and operational needs.
Not in production environments. Totogi Charging-as-a-Service uses AWS Lambda with provisioned concurrency to eliminate cold starts in latency-sensitive use cases such as URLLC. For peak loads, Totogi proactively manages AWS service quotas and capacity reservations to ensure continuous performance—even under unexpected surges. Its design has already been tested in high-scale scenarios like Zain Sudan’s rapid rollout.
Totogi was founded in 2021—but in that short time has built the world’s first multi-tenant SaaS charging system tailored for 5G Standalone. Deployed at operators like Zain and 2degrees , Totogi’s platform meets rigorous commercial and regulatory standards. Backed by TelcoDR and deeply integrated with AWS, Totogi is scaling rapidly with strong momentum and a product that was architected specifically for the demands of 5G Advanced.
Totogi is intentionally API-driven and configuration-based by design. While it does not allow direct database or schema changes—which helps ensure upgrade safety, scale, and reliability—its open APIs and flexible data models allow rich customization through supported interfaces. Further, thanks to CI/CD, requested features can be delivered within weeks from specification, to all customers. This model eliminates technical debt and avoids the risks of vendor-specific lock-in tied to database-level custom code.
As a SaaS platform, Totogi adds features continuously—driven by customer demand and market evolution. Operators can request enhancements that benefit the broader community and are delivered on a shared roadmap. This “feature velocity” replaces the traditional, costly Change Request (CR) model and ensures that telcos always benefit from the latest capabilities without incurring professional services fees or delays.
Totogi tackles integration complexity head-on with Totogi Ontology, a patented overlay architecture powered by AI-generated Telco Ontology. Instead of relying on fragile point-to-point integrations, Totogi abstracts business logic and vendor-specific APIs into a TM Forum–compliant model. This allows the system to understand and interact with legacy components intelligently—without invasive modifications. It transforms siloed environments into unified, AI-orchestrated systems.
Traditional overlays can struggle—but Totogi’s isn’t traditional. The Telco Ontology layer understands the semantics of different data structures, business processes, and vendor APIs across systems like CRM, billing, and provisioning. That means it doesn’t just route requests—it interprets them. With AI agents, Totogi auto-generates workflows that work across these systems, eliminating the manual coding or replatforming usually required to integrate disparate legacy stacks.
Totogi Charging-as-a-Service supports real-time event-based charging models needed for slicing, private 5G networks, QoS-based pricing, and other new 5G use cases. It is fully aligned with 3GPP Release 16/17 standards, ensuring seamless integration with 5G SA core networks and new digital revenue streams.
Yes, Totogi Charging-as-a-Service is a true multi-tenant solution, enabling operators to run multiple brands, MVNOs, or enterprise slices from a single platform. This massively improves operational efficiency, competitiveness and ROI for use cases such as wholesale, advanced 5G services and B2B, and allows onboarding new partners – whether private networks or MVNOs – within days.
Totogi Charging-as-a-Service operates with real-time authorization, rating, and balance management, ensuring that subscriber sessions are charged immediately and accurately. This protects revenue streams, supports prepaid models, and enables event-triggered monetization in milliseconds.
Absolutely. Totogi Charging-as-a-Service exposes a GraphQL API, compliant with TM Forum Open standards and 3GPP-compliant southbound interfaces (Diameter for 4G, HTTP/2 for 5G), making integration with BSS, OSS, and core network functions simple, fast, and future-proof.
Totogi Charging-as-a-Service uses open standards, open APIs, and flexible configurations—without proprietary hardware or custom coding traps. This empowers CSPs to evolve their ecosystems freely, avoiding the expensive long-term lock-in typical of traditional charging vendors.
No. Totogi Charging-as-a-Service is designed for seamless integration with existing environments. It supports standard 3GPP interfaces (Diameter for 4G and HTTP/2 + JSON for 5G), which ensures compatibility with all major core network functions (SMF, PGW, IMS, etc.). It also exposes a GraphQL-based northbound API for clean, real-time integration with BSS, OSS, CRM, and subscriber channels. There’s no proprietary middleware required—everything is plug-and-play by design.
Yes. Totogi supports configurable field mapping at the protocol level to handle non-standard AVPs and vendor-specific extensions. This means you can integrate even with heavily customized core networks without rewriting code or introducing brittle adapters. The system adapts to the variations in how each operator or vendor implements 3GPP protocols.
No. Totogi conforms to the 3GPP CCS/OCS standards and integrates with core components out of the box. Whether your network is from Ericsson, Huawei, Nokia, or a hybrid stack, Totogi speaks the same language—enabling a non-disruptive, overlay deployment model. Operators like Zain KSA have gone live in weeks without core changes, proving its drop-in compatibility at scale.
Yes. Totogi exposes real-time Account Management APIs to retrieve balances, assign rate plans, and trigger provisioning—fully compliant with modern digital self-care, billing, and CRM systems. In addition, Totogi produces event detail records (EDRs) available via API or stream, enabling downstream analytics, billing, or marketing systems to consume data with no delay.
Not with Totogi. Unlike traditional “lift-and-shift” deployments, Totogi was built natively for the cloud—with open APIs, elastic scale, and zero-touch updates. There’s no hardware, middleware, or proprietary agents to manage. Its SaaS nature simplifies integration, shortens deployment cycles, and eliminates technical debt—making it easier, not harder, to unify your charging ecosystem.
Not at all. Totogi Charging-as-a-Service uses standard 3GPP interfaces for OCS and CCS, supporting both Diameter and HTTP/2 protocols. It features configurable field mapping that eliminates the need for middleware, enabling seamless integration with existing 4G and 5G networks. The result is faster deployments, reduced complexity, and full interoperability with multi-vendor environments.
Quite the opposite. Totogi is built to prevent vendor lock-in. It is fully cloud-native, runs on any public cloud (with first-class AWS integration), supports open APIs, and is compliant with 3GPP standards. Unlike many bundled core+charging solutions, Totogi empowers telcos to innovate independently and change vendors without years-long migration paths.
Traditional charging systems can take over a year to deploy. In contrast, Totogi can be deployed in weeks. For instance, Zain Sudan deployed Totogi Charging-as-a-Service in just 18 days —demonstrating our ability to accelerate time-to-revenue and reduce integration burdens.
Totogi Charging-as-a-Service gives operators independence from bundled 5G core and CHF vendors. It avoids vendor lock-in, offers best-in-class scalability, reduces CAPEX, and speeds up the monetization of differentiated services without being tied to core vendor roadmaps.
Yes, easily and efficiently: Totogi exposes open GraphQL-based APIs that are developer-friendly and easily integrate with CRM, order management, and digital channels. It supports real-time, bidirectional communication with external systems.
Totogi Charging-as-a-Service is built with carrier-grade security and resilience, including data isolation per tenant, automated failover, multi-region redundancy, and compliance with major telecom security standards. Operators get five-nines availability without managing hardware.
Operators pay only for what they consume, based on API transactions, subscriber volume, or events processed. There are no large upfront fees, no expensive professional services, and no hidden upgrade costs—aligning operational costs with actual business growth.
Yes. Totogi Charging-as-a-Service is ideal for MVNOs, private 5G providers, and enterprises launching their own mobile networks. Its multi-tenant architecture, fast onboarding, and pay-as-you-grow model make it easy to launch, scale, and monetize without massive upfront investment.
Because it’s a fully managed SaaS offering, Totogi Charging-as-a-Service can be deployed in a matter of weeks—not the typical 12–24 months required for traditional charging system rollouts. Faster deployment equals faster revenue generation.
By being delivered as true-SaaS, open-standard, and AI-optimized, Totogi Charging-as-a-Service ensures that CSPs can continuously adopt new features, standards (like future 5G Advanced and 6G evolutions), and monetization models—without expensive, disruptive rip-and-replace projects. New features are deployed within weeks from specification, instead of the months or even years it takes for traditional chargers, which follow periodic release cycles and upgrades. There are no releases nor upgrades for Totogi Charging-as-a-Service, only feature velocity delivered via CI/CD.
Totogi Charging-as-a-Service offers the fastest, smartest, and most cost-effective way to modernize telecom charging. With cloud-native elasticity, true multi-tenancy, AI enhancements, 5G-native architecture, and open APIs, Totogi empowers operators to innovate faster, monetize more, and win in the age of 5G and AI.

5G Standalone & 5G Advanced

Totogi Charging-as-a-Service provides dynamic, real-time event-based charging capabilities that are essential for monetizing new 5G Standalone services such as network slicing, private networks, ultra-low-latency applications, and massive IoT connectivity—allowing operators to move beyond simple data plans to differentiated, premium offerings.
In Totogi’s SaaS charger, multi-tenancy means a single cloud-native codebase serves many independent customers—smart-factory campuses, MVNOs, private-network operators—while keeping each tenant’s catalogs, rating rules, balances, and analytics strictly isolated in its own encrypted namespace. Every API call carries a tenant ID so usage events are routed, rated, and reported in the right “mini-environment,” all inside the same serverless resource pool. This model mirrors how public-cloud hyperscalers separate customers while sharing underlying compute, achieving both airtight separation and extreme efficiency.
5G Standalone unlocks diverse business models—network-sliced URLLC for factories, massive-IoT telemetry, neutral-host venues, and revived MVNOs. Each customer expects bespoke product catalogs, SLAs, and billing logic. A multi-tenant charger can spin up these dedicated environments in minutes, letting operators capitalize on new revenue streams swiftly. Single-tenant stacks, in contrast, require months of design, provisioning, and integration per customer, causing rivals with SaaS chargers to win deals first.
A 5G charging system, often referred to as Convergent Charging System (CCS) or Charging Function (CHF), is a real-time platform that enables telecom operators to monetize advanced 5G services such as network slicing, ultra-low latency applications, and massive IoT deployments. Unlike legacy systems, a modern 5G charging system must handle dynamic pricing, real-time policy enforcement, and complex event-based billing. Totogi’s Charging-as-a-Service is purpose-built for 5G Standalone (SA) and 5G Advanced, offering elastic scalability, AI-driven automation, and rapid deployment to help operators unlock new revenue streams.
5G SA introduces dynamic service models where usage can vary in real-time based on quality of service, latency, or slice attributes. Totogi Charging-as-a-Service processes these events instantly, enabling CSPs to charge accurately and dynamically, maximizing revenue from every network transaction.
Totogi Charging-as-a-Service supports real-time charging per network slice, allowing operators to create customized, differentiated pricing models for slices tailored to industries like healthcare, automotive, or logistics. This opens up new, high-value B2B and B2B2X revenue streams.
Totogi Charging-as-a-Service supports QoS-based offerings by letting operators rate and monetize the service experience, not just the number of gigabytes consumed. That means you can charge different prices for sessions with premium characteristics—like low latency, higher throughput, or ultra-reliable priority treatment—and package them as speed plans, gaming passes, enterprise/IoT priority data, or slice/SLA-driven services. From an implementation perspective, Totogi combines real-time charging with a focused set of built-in policy capabilities, so you can launch QoS-based offers without relying on a separate PCRF/PCF stack for every use case. It’s designed for 5G SA/CHF scenarios and supports real-time, event-based charging models where QoS can vary dynamically during a session.
With single-tenant architecture, every new customer demands its own CCS instance—VMs or containers, databases, mediation, acceptance tests, and bespoke integrations. Repeating that for each tenant turns onboarding into a 4–9-month marathon and ties up engineers in perpetual maintenance. During this window, competitors onboard tenants in days and start billing immediately.
Each standalone stack incurs new licenses, reserved compute, HA clusters, and security services, driving six-figure setup bills. After launch, idle off-peak capacity still racks up cloud invoices, and burst demand forces expensive over-provisioning because capacity can’t be shared. Upgrades and patches must also be cloned and regression-tested tenant by tenant, inflating OPEX.
One serverless execution pool dynamically allocates compute across all tenants, surrendering idle capacity back to the cloud and absorbing spikes automatically. Up-front licenses and database instances are amortized across the entire base, slashing fixed cost per customer. Continuous deployment pushes updates once and makes them instantly available to everyone, eliminating per-tenant upgrade projects.
No. Totogi enforces strict logical separation: tenant objects live in dedicated namespaces encrypted with tenant-specific keys. Service calls include signed tokens, making cross-namespace access mathematically impossible. Compliance audits confirm isolation equals—or exceeds—physically separate stacks, but without waste.
Administrators simply create a tenant in a self-service portal, pick a template, and configure business parameters. Because no VMs or databases need provisioning, the tenant can start rating events within days—or even hours—rather than months, giving operators an immediate commercial edge.
By removing duplicated fixed costs and letting compute scale elastically, unit economics improve. Operators gain margin headroom and can craft aggressive, usage-based tariffs or discounts without worrying about sunk infrastructure expenses—especially useful in price-sensitive MVNO or enterprise segments.
Totogi’s Convergent Charging System is fully serverless: stateless functions rate every event and scale automatically. There are no VMs to size or containers to orchestrate. This design lets the system handle midnight maintenance surges or IoT firmware pushes seamlessly while shrinking back to zero when traffic subsides, aligning cost to revenue in real time.
Yes. Totogi Charging-as-a-Service is architected to support the evolution to 5G Advanced, including enhancements like network exposure monetization, AI-driven slicing, and ultra-dense IoT use cases. It future-proofs operators for the next wave of telecom growth.
Absolutely. Totogi Charging-as-a-Service can simultaneously handle 4G Diameter interfaces and 5G HTTP/2 JSON-based charging flows. This hybrid readiness ensures smooth monetization across evolving core networks without disrupting subscriber experiences.
Operators can design, configure, and launch new offers within days using Totogi’s flexible, SaaS-based environment and intuitive configuration tools. No lengthy custom development or vendor change requests are required—offering a true first-mover advantage.
Totogi Charging-as-a-Service allows operators to create SLA-driven, customized charging for enterprise clients, such as dedicated slices for manufacturing, logistics, healthcare, or smart cities—turning telecom services into critical business infrastructure with premium pricing.
Totogi Charging-as-a-Service supports usage-based charging, subscription models, hybrid charging (event + usage + subscription), pay-as-you-go, and even outcome-based charging tied to QoS or service KPIs—enabling full monetization flexibility in 5G ecosystems.
Because Totogi Charging-as-a-Service is delivered as a SaaS platform, operators skip infrastructure procurement, system integration, and lengthy setup cycles. They can go live quickly, trial new models at low cost, and pivot rapidly based on market feedback.
Unlike core-vendor bundled systems or cloud-washed legacy chargers, Totogi Charging-as-a-Service is born-for-the-cloud, supports instant upgrades, usage-based pricing, and provides open integration through TM Forum APIs—making it the ideal platform for agile telcos.
Yes. Totogi Charging-as-a-Service makes it easy for operators to offer private 5G networks with custom pricing models—charging enterprises based on dedicated slices, user priorities, data throughput, device density, or SLA adherence, depending on business needs.
Built on cloud-native, serverless architecture, Totogi Charging-as-a-Service can elastically scale to handle millions of devices and billions of charging events seamlessly, enabling operators to confidently support massive IoT ecosystems like smart cities or industrial automation.
Totogi Charging-as-a-Service enforces real-time policy control, usage validation, and immediate charging event reconciliation, ensuring accurate revenue capture across complex multi-slice, multi-device, and multi-service 5G environments with no revenue leakage.
Totogi combines real-time charging precision, 5G slicing and QoS intelligence, SaaS agility, open API flexibility, and future-proof 5G Advanced readiness. No other vendor matches this blend of technology leadership, operational speed, and monetization power.
Totogi Charging-as-a-Service is a true SaaS: cloud-native, multi-tenant, elastic, and open. It supports real-time, event-based charging for both legacy and 5G Standalone networks, enabling CSPs to monetize new services faster, with lower costs and higher agility than traditional charging platforms.
Totogi Charging-as-a-Service supports ultra-dynamic charging models like QoS-based pricing, network slicing monetization, and private 5G deployments. It’s ready for 3GPP Release 16/17 today and evolving for 5G Advanced innovations—giving operators a monetization advantage over competitors. Being delivered as true-SaaS, new Charging-as-a-Service features are deployed within weeks from specification, instead of the months or even years it takes for traditional chargers, which follow periodic release cycles and upgrades. There are no releases nor upgrades for Totogi Charging-as-a-Service, only feature velocity delivered via CI/CD.
Totogi’s real-time event charging engine can handle per-slice charging models dynamically, allowing operators to create custom pricing for healthcare, automotive, IoT, or enterprise slices—without building complex customizations or overhauling their systems.
A cloud-native charging system offers several benefits for 5G networks, including scalability, flexibility, and cost-efficiency. Totogi’s Charging-as-a-Service leverages public cloud infrastructure to provide elastic scaling, enabling operators to handle increased traffic and service complexity. Its AI-driven capabilities allow for dynamic pricing and personalized offerings, while the SaaS model reduces total cost of ownership and accelerates time-to-market for new services.
Totogi’s Charging-as-a-Service is built on a cloud-native architecture that inherently supports scalability. The platform can elastically scale to accommodate the massive device connectivity and data traffic associated with 5G networks. This scalability ensures that operators can maintain service quality and performance as they expand their offerings and customer base, without the need for significant infrastructure investments.
AI is integral to Totogi’s 5G charging solution, enabling intelligent automation and personalized customer experiences. The platform uses AI to analyze usage patterns, predict customer behavior, and optimize pricing strategies. This leads to more effective monetization of 5G services, reduced churn, and increased revenue opportunities for telecom operators.
Totogi’s Charging-as-a-Service is designed for rapid deployment. Operators can integrate the platform into their existing networks with minimal disruption, thanks to its API-first approach and cloud-native design. This allows for a swift transition to a modern charging system, enabling operators to capitalize on 5G opportunities without lengthy implementation timelines.
Totogi’s platform uses AI and real-time data analysis to enable personalized service offerings. By understanding individual customer usage patterns and preferences, operators can tailor plans and promotions to meet specific needs. This personalization enhances customer satisfaction and loyalty, while also opening up new revenue streams through targeted offerings.
Totogi’s Charging-as-a-Service offers a cost-effective solution by eliminating the need for significant upfront investments in infrastructure. Its SaaS model allows operators to pay based on usage, reducing capital expenditures. Additionally, the platform’s cloud-native design minimizes maintenance costs and enables automatic updates, further lowering the total cost of ownership.
Totogi provides comprehensive support for operators transitioning to 5G Standalone by offering a charging platform that is natively built for 5G SA networks. The platform’s features, such as real-time charging, AI-driven automation, and scalability, align with the requirements of 5G SA, enabling operators to fully leverage the capabilities of their new networks.
Totogi’s charging-as-a-service enhances customer experience by enabling real-time insights and personalized service offerings. Through AI-driven analytics, operators can understand customer behavior and preferences, allowing them to provide tailored plans and proactive support. This leads to increased customer satisfaction and retention in the competitive 5G market.
Totogi’s Charging-as-a-Service stands out due to its cloud-native, AI-powered architecture, which offers unmatched scalability, flexibility, and cost-efficiency. Unlike traditional charging systems, Totogi’s platform is designed specifically for 5G, supporting advanced features like network slicing and massive IoT. Its rapid deployment capabilities and usage-based pricing model further differentiate it, making it an ideal choice for operators seeking to monetize 5G services effectively.
Network programmability in 5G allows operators to dynamically configure network behavior using software-defined interfaces and APIs. This capability is crucial for enabling services like network slicing and quality-of-service-based pricing. Programmability directly impacts charging by allowing policy and charging rules to adapt in real-time based on contextual triggers, such as user location, application type, or device status. Totogi’s Charging-as-a-Service supports programmable interfaces, enabling flexible and intelligent charging decisions that reflect real-time network conditions.
3GPP Release 16 introduced important charging-related improvements for 5G, including: * Support for network slicing awareness in the Policy Control Function (PCF) and Charging Function (CHF). * Introduction of enhanced QoS monitoring. * Standardization of MEC (Multi-access Edge Computing) charging scenarios. These capabilities enable more granular, dynamic, and context-aware charging models. Totogi aligns with these enhancements by offering a cloud-native CHF that supports these Release 16 features, ensuring readiness for modern use cases.
3GPP Release 17 extends 5G capabilities into areas such as: * Non-Terrestrial Networks (NTN), including satellite-based charging. * Reduced Capability (RedCap) devices with optimized charging profiles. * Advanced URLLC and industrial IoT requiring fine-grained event-based charging. These developments demand a flexible charging engine capable of handling diverse service types. Totogi’s charging platform supports fine-tuned configurations for these emerging service models using programmable APIs and event-based triggers.
3GPP Release 18, also known as 5G Advanced, introduces features like: * Enhanced AI/ML integration into the network. * User Plane Function (UPF) enhancements for telemetry and analytics. * Network Exposure Function (NEF) advancements for richer event reporting. These enhancements make real-time, context-aware charging more critical. Totogi’s open, programmable CHF and AI-powered decisioning engine are fully aligned with this direction, enabling CSPs to create differentiated, real-time monetization strategies.
5G charging architecture is defined around the Service-Based Architecture (SBA) model, with key interfaces including: * Nchf: Connects the Charging Function to other network functions like SMF and PCF. * N28/N30: Used between CHF and external billing systems (like Totogi’s backend). * Npcf, Nnef, and Nudr: For policy control, exposure, and data access. Totogi supports all major SBA interfaces, allowing seamless integration into 5G Core environments and full compliance with 3GPP standards.
Online Charging (OCS) occurs in real-time and allows immediate control over resource usage—ideal for prepaid and dynamic services like QoS-based charging. Offline Charging (CDRs) collects usage records for postpaid billing. 5G introduces Converged Charging Systems (CCS) that unify online and offline capabilities. Totogi’s Charging-as-a-Service is CCS-compliant, allowing operators to adopt hybrid models for real-time and deferred monetization within a single framework.
Event-based charging assigns value to specific events (e.g., user authentication, session start, QoS change) rather than duration or volume. Totogi supports flexible event-based charging using its rule-based engine and open APIs, enabling CSPs to monetize 5G services such as application-specific access, enterprise SLAs, and IoT command events—key features in Release 16 and beyond.
Because compute is shared and serverless, unused capacity is automatically returned to the cloud provider. Operators pay strictly for consumption, never for idle reserve, eliminating the Hobson’s choice between waste and SLA risk that plagues siloed stacks.
Quite the opposite: by standardizing on one cloud-native codebase with open APIs and SaaS delivery, operators reduce bespoke integrations and vendor-specific customizations. This minimizes dependency on niche professional services and accelerates feature adoption across the tenant base.
When an MVNO launches a promotion or a stadium slice fills during a concert, the serverless pool expands in milliseconds across all tenants. Resources are provisioned only when events arrive and released right after rating, ensuring consistent SLAs without pre-provisioned headroom.
The NEF exposes network capabilities and events via APIs, enabling third-party applications to interact with the core network. In charging, NEF provides external systems with usage and service context, which can be monetized. Totogi leverages NEF inputs for real-time charging decisions and supports future monetization strategies that depend on exposed network data (e.g., API billing, location-based offers, or app-level charging).
The SCP acts as a routing and load-balancing intermediary in the Service-Based Architecture. Totogi integrates seamlessly with SCP-compliant networks, ensuring high availability and efficient message routing between the CHF and other 5GC functions. This makes it highly scalable and resilient in high-load 5G environments.
In Totogi’s CCS SaaS model, new features, patches, and security fixes propagate through a centralized CI/CD pipeline. They’re released once and become available to all tenants simultaneously with zero downtime, turning “change requests” into quick feature toggles instead of vendor-led professional-service projects.
Separation of data (UDR/UDSF) from business logic (CHF, PCF) is a foundational principle in 5G Core. It improves scalability, flexibility, and compliance. Totogi follows this principle by maintaining stateless microservices and using real-time access to distributed data stores, allowing AI-driven analytics and charging decisions without bottlenecks or vendor dependencies.
Yes. Whether one tenant consumes multiple slices or several tenants share a single slice, the charger tags every session with a tenant ID and applies the correct rating, discount, or SLA counters separately. That lets operators monetize slicing scenarios without duplicating stacks, ensuring each customer gets accurate, slice-aware billing.
The Session Management Function (SMF) initiates charging flows and enforces policy rules by communicating with the CHF. The Policy Control Function (PCF) defines those charging rules based on service logic. Totogi integrates with both via 3GPP-compliant Nchf and Npcf interfaces to receive policy triggers and execute real-time rating actions—key for dynamic monetization strategies in 5G SA.
Totogi’s charging system is designed from the ground up for public cloud deployment. Benefits include: * Instant scalability for traffic spikes and new service launches. * DevOps-driven updates for rapid feature rollout. * AI model integration for usage prediction and offer optimization. * Multi-region failover and redundancy without CapEx-heavy infrastructure. This is a critical differentiator versus cloud-adapted legacy solutions.
Yes, Totogi is ideally suited for enterprise 5G use cases. Its flexible, programmable charging engine can apply custom policies for private networks, including SLAs, security access, QoS tiers, and enterprise-specific slices. APIs and NEF support enable integration with enterprise applications and billing systems for new revenue streams.
Totogi’s modular architecture and continuous delivery model ensure rapid adaptation to upcoming 3GPP features. The platform is designed to ingest updated charging definitions, new interfaces, and AI-integration requirements through dynamic configuration—not code rewrites. Operators investing in Totogi are future-proofing their monetization layer for the next generation of telecom innovation.
Network slicing enables telcos to create customized virtual networks for specific customers or services. By monetizing slices tailored for different performance needs—such as ultra-low latency for hospitals or high bandwidth for gaming—telcos can unlock enterprise-grade revenues and diversify beyond consumer offerings
Most charging systems are too rigid to support dynamic, real-time monetization of network slices. They struggle with complex configurations, event-based pricing, and integrations, delaying time-to-market and reducing the viability of tailored slicing offers.
Charging systems must be flexible, cloud-native, and API-driven to support QoS-based and slice-aware billing. Totogi’s Charging-as-a-Service enables dynamic monetization by supporting real-time charging models tailored to the specifics of each slice.
Totogi provides a cloud-native, multi-tenant charging platform with 3GPP-compliant APIs, which allows telcos to monetize each slice independently. With no-code configuration and real-time rating, telcos can rapidly deploy and adjust pricing models without complex CRs or vendor delays.
As 5G SA rollouts accelerate and enterprises demand tailored network experiences, the ability to charge per slice unlocks new growth. Delaying investment risks missing the early revenue advantage and opens the door to more agile competitors.
5G Standalone adoption is slow because the business case for it is not yet compelling enough. Unlike the 4G-to-5G transition, 5G SA introduces a new core architecture and operational complexity that traditional charging systems struggle to support. Monetizing 5G SA use cases like network slicing or ultra-low latency services requires advanced, flexible, and scalable charging solutions. Without these, operators can’t justify the high investment needed for full 5G SA deployment.
As of late 2025, only 77 mobile operators in 43 countries have launched commercial 5G Standalone (SA) networks – far fewer than industry forecasts just two years ago. This limited footprint means most carriers still depend on 5G Non-Standalone (NSA), which piggybacks on 4G cores and cannot deliver the full promise of ultra-low latency, massive IoT scale, or end-to-end network slicing. Without a broader SA foundation, advanced consumer and enterprise revenue streams remain largely theoretical, making operators more cautious about big-ticket investments in SA-specific infrastructure and IT upgrades.
Deploying 5G SA isn’t a software toggle; it requires a completely new, cloud-native core built on micro-services. Telco IT teams that are comfortable with monolithic appliances must suddenly master container orchestration, CI/CD pipelines, and continuous software updates. Legacy charging and policy stacks compound the pain because every new slice or tariff still needs expert configuration and weeks of testing. The upshot is a skills gap and operational complexity that pushes many operators to postpone full SA adoption until they can upskill staff—or outsource the work entirely.
5G Standalone mandates Voice over New Radio (VoNR), which relies on an IP Multimedia Subsystem (IMS). Operators without IMS must implement it from scratch; those with a VoLTE-ready IMS must re-integrate it with the new 5G core (AMF, SMF, UPF, CHF, PCF, and others). Dual connectivity between 4G voice and 5G data adds further complexity, while handovers and fallback scenarios demand exhaustive testing. Given the centrality of voice quality to customer experience, operators often delay SA go-lives until they’re certain VoNR and LTE fallback behave flawlessly.
Traditional BSS and charging stacks struggle with the real-time, granular billing required for SA use cases such as network slicing. Modernizing them is costly and risky. Meanwhile, early 5G consumer data plans have not delivered new revenue, and enterprise use cases are still nascent. Faced with high capital demands and no short-term payoff, many CFOs deem 5G SA “nice to have” rather than urgent, opting to stretch their NSA deployments instead of funding core and IT overhauls.
A cloud-native convergent charging system (CCS) can process both legacy Diameter traffic and the new 3GPP 5G Charging Function APIs in a single platform. Operators can feed 4G and 5G usage into one engine, migrate subscribers slice-by-slice, and avoid risky “big-bang” billing swaps. Pre-built adapters bridge the old and new cores, turning charging from a bottleneck into a facilitator for incremental SA rollout.
With true SaaS charging, the vendor hosts and operates the platform in the public cloud. Operators manage no servers, clusters, or storage, and they receive automatic weekly or even daily updates via CI/CD pipelines – eliminating upgrade projects, maintenance windows, and vendor professional-service fees. The charging stack is always on the latest release, aligned with evolving 5G standards, without any on-prem work by the operator’s team.
5G SA use cases – from pop-up private networks to IoT traffic bursts – produce unpredictable transaction volumes. A SaaS CCS automatically scales out cloud resources during peaks and scales back during lulls. Operators therefore avoid over-provisioning hardware or paying for idle capacity, while usage-based SaaS pricing keeps costs in lockstep with actual network demand, preserving margins as traffic patterns fluctuate.
In many networks, policy (PCF) and charging live in separate systems, forcing duplicate configurations and risky sync processes. A SaaS CCS that embeds PCF unifies QoS enforcement with rating logic. Operators configure a service or slice once and know that policy triggers, real-time credit control, and billing all follow the same rule set. This streamlines VoNR rollouts, aligns NSA and SA control planes, and cuts integration effort when launching differentiated, SLA-driven services.
5G SA unlocks business models – private networks, MVNOs, neutral hosts – that each need separate catalogs, policies, and bill-runs. A multi-tenant SaaS charging platform isolates data for every tenant in a single shared instance. New MVNOs or enterprise slices can be spun up via configuration in hours rather than standing up a parallel stack that takes months, giving operators a decisive speed advantage in the emerging SA ecosystem.
Traditional charging systems are sold on perpetual licenses and forecast-based capacity, forcing operators to fund peak loads upfront. A SaaS CCS flips the model: charges accrue per transaction or subscriber, turning capital expense into an operating cost that scales with revenue. CFOs gain predictability; smaller carriers or greenfield MVNOs can launch SA services without massive pre-investment, enabling experimentation and faster time-to-profit.

PlanAI

Totogi PlanAI is an AI-powered Customer Value Management (CVM) platform that automatically identifies churn risks and revenue opportunities, generates hyper-personalized offers in real time, and executes campaigns end-to-end—accelerating growth and reducing churn for telecom operators.
PlanAI automates the entire CVM workflow: it segments customers, generates dynamic, hyper-personalized offers, crafts personalized messages, triggers communications, and fulfills activations—all without needing manual intervention from BI or IT teams.
PlanAI leverages real-time charging and core network data, analyzing subscriber behaviors, spending patterns, device usage, and engagement trends to create highly personalized, revenue-maximizing offers.
PlanAI runs the most advanced telco-trained machine learning algorithms to continuously analyze and predict customer behavior, consumption patterns and churn risk. By delivering the right offer to the right customer at the right time, PlanAI boosts take-up rates, increases data usage, drives upsell opportunities, and strengthens loyalty, leading to tangible revenue uplift and reduced churn.
PlanAI predicts churn risk with 92% accuracy​, identifies at-risk subscribers, and proactively deploys personalized retention offers—significantly lowering churn rates and extending customer lifecycles.
PlanAI continuously trains machine learning models to fine-tune offer parameters like pricing, bonus incentives, messaging tone, communication timing, and fulfillment channels—maximizing offer effectiveness dynamically.
Yes. PlanAI automates the traditionally manual, multi-team campaign creation process, eliminating the need for IT development, BI reporting cycles, and manual segmentation—significantly reducing operational overhead.
Unlike static, rule-based systems that segment customers coarsely, PlanAI dynamically adapts to real-time behaviors, personalizes every interaction, and constantly refines its models for better prediction and higher campaign success rates.
Absolutely. Operators using PlanAI can launch new hyper-personalized campaigns in hours instead of days or even weeks​, allowing them to react instantly to market changes and customer behavior.
No. PlanAI operates on top of Totogi’s Charging-as-a-Service and leverages open, fast and efficient GraphQL API. It can be layered into existing systems with minimal setup, delivering value quickly without disrupting current operations.
In a Tier-1 deployment, PlanAI achieved a 10% revenue increase across target groups, 13% growth in data usage, a 4.8% reduction in inactivity rates, and a 7.9% rise in offer take-up rates​—all within just a few months.
PlanAI uses flexible offer templates and dynamic parameterization, enabling it to generate millions of personalized product permutations without requiring separate configuration for each offer—breaking the “one-size-fits-many” model.
PlanAI not only analyzes customer data but also directly drives execution—deploying the right offer via the right channel at the right time, and tracking real-time performance for continuous optimization.
Yes. PlanAI is agnostic to subscriber models and supports prepaid, postpaid, hybrid, and even emerging 5G use cases like slicing, IoT plans, and enterprise mobility packages.
As competition intensifies and customer expectations rise, hyper-personalization and real-time engagement are no longer optional. PlanAI gives operators a proven, AI-powered advantage to maximize revenue, improve loyalty, and stay ahead in a fast-changing telecom landscape.
Traditional CVM relies on manual segmentation, campaign ideation, and IT-driven execution. PlanAI automates the entire process using AI: it segments, generates, personalizes, communicates, and fulfills offers without manual intervention—enabling faster, smarter, and more dynamic campaigns.
PlanAI can launch hyper-personalized campaigns in hours​, while traditional CVM typically takes weeks due to dependencies on BI teams, manual setup, and approval chains.
PlanAI offers hyper-personalization at the subscriber level, dynamically creating offers based on real-time behavior. Traditional CVM often uses static, broad segmentation (e.g., “heavy data users”) leading to generic, less effective offers.
PlanAI uses machine learning models that predict churn with 92% accuracy​, while traditional CVM typically relies on reactive churn metrics and lagging indicators without predictive capabilities.
PlanAI easily scales to millions of subscribers with individualized offers because it uses AI models and offer templates. Traditional CVM struggles, requiring more manual segmentation, offer building, and campaign management as scale increases.
PlanAI directly links customer insights to execution, automatically triggering personalized offers based on behavior. Traditional CVM often leaves insights trapped in reports, requiring separate manual setup to act on them.
PlanAI significantly reduces operational overhead by automating customer segmentation, offer creation, messaging, and fulfillment. Traditional CVM needs dedicated resources in BI, marketing, and IT to manage every campaign cycle.
PlanAI drastically accelerates TTM, allowing telecom operators to react to competitive moves or market changes in real-time. Traditional CVM’s long lead times make it hard to adapt quickly.
PlanAI uses advanced, telco-trained machine learning models and LLMs to optimize not just the offer but also timing, messaging tone, and delivery channel. Traditional systems rely on static offers crafted manually without AI reasoning.
PlanAI drives higher ARPU growth by matching the best offer to each customer’s needs dynamically, resulting in higher uptake and upsell rates. Traditional CVM delivers lower incremental revenue due to its less targeted, one-size-fits-many approach.
PlanAI continuously self-optimizes based on campaign performance data, learning which offers work best for each profile. Traditional CVM requires manual analysis after each campaign cycle and manual adjustments.
PlanAI can instantly create and recommend new combinations via dynamic templates. Traditional CVM often needs heavy IT intervention to create, test, and deploy new plans, slowing innovation.
PlanAI empowers business users to launch, monitor, and optimize campaigns independently. Traditional CVM heavily depends on IT for setup and BI for insights, leading to bottlenecks and slower execution.
PlanAI was built AI-first from the ground up, designed to thrive in digital-first, 5G-enabled, hyper-personalized telecom models. Traditional CVM was built for an era of batch campaigns and static customer profiles.
Operators that want to win in the age of hyper-personalization, instant engagement, and AI-driven competition need PlanAI. It offers a proven path to boost revenue, reduce churn, speed up operations, and delight customers—far beyond what legacy CVM tools can achieve.

Plan Design

Totogi Plan Design is a Totogi Charging-as-a-Service embedded AI-augmented tool that enables telecom operators to ideate, design, validate, test, and deploy new mobile plans and products in under an hour—without heavy IT involvement, custom development, or lengthy project cycles​.
Plan Design allows business users—not just IT experts—to create, validate, and launch new price plans rapidly using an intuitive UI, eliminating the traditional bottlenecks that used to delay product rollouts by weeks or months​.
Instead of relying on IT teams for coding, testing, and deploying new products, Plan Design empowers business users or junior IT personnel to manage the entire process through configurable, no-code templates​.
Yes. Plan Design follows a SaaS mindset where everything is configurable. No new functionality requires a CR; new plan variants and pricing models can be created instantly using dynamic templates​.
Governance is embedded in the workflow. Plan Design includes a commercial margin calculator, ensures internal and regulatory compliance automatically, and uses Plan Sidekick to verify market alignment and technical compatibility​.
Plan Sidekick automatically provides competitive benchmarking by analyzing market trends, competitor offers, and positioning strategies—saving CVM and marketing teams weeks of manual research​.
Operators can rapidly create, test, and optimize offers without committing to heavy IT resources. This “fail fast, learn fast” model encourages innovation and faster adaptation to changing market conditions​.
Instead of manually creating multiple product variants, Plan Design allows users to pass different parameters through a dynamic product template—creating unlimited plan variations automatically.
Absolutely. Plan Design’s intuitive interface, no-code setup, and embedded Plan Sidekick assistant empower marketing, commercial, and CVM teams to manage product creation without technical expertise​.
New plans can be ideated, validated, tested, and deployed within less than an hour​, compared to traditional timelines of weeks or months.
Yes. Plan Design calculates projected margins in real-time, ensuring that every offer complies with the CSP’s financial thresholds before it’s launched​.
By dramatically shortening product development cycles, embedding governance, and enabling rapid market adaptation, Plan Design allows operators to respond to competitor moves or market shifts instantly​.
Yes. Plan Design is fully SaaS-native, meaning there are no painful upgrades, no versioning complexity, and no heavy professional services needed to maintain the platform—it evolves continuously​.
Operators seeking faster innovation, lower operational costs, better governance, and the ability to hyper-personalize services at scale will find Plan Design an essential tool to lead in today’s fiercely competitive telecom landscape​.

Totogi BSS Platform

Totogi BSS Platform is a cloud-native, SaaS-based business support system that empowers telecom operators to launch, manage, and monetize telecom services faster and more flexibly. It provides billing, charging, CRM, product catalog, revenue management, and customer care capabilities—all delivered as scalable, open, and modular services.
Unlike traditional BSS solutions that are rigid, expensive, and hardware-dependent, Totogi’s BSS Platform is 100% cloud-native, modular, and SaaS-delivered. It enables true agility, usage-based pricing, rapid onboarding, and seamless interoperability through Open APIs.
Yes. The Totogi BSS Platform is cloud-native from day one, built on a multi-tenant architecture that allows multiple brands, MVNOs, or wholesale partners to share the same environment securely—driving down costs and accelerating deployment times.
Thanks to its multi-tenant architecture, modular design, and open APIs, Totogi BSS Platform allows telecom operators to onboard new partners in days. Totogi BSS platform is geared with our AI-powered Plan Design, which enables CSPs configure and launch new services, promotions, and customer journeys within hours—giving operators a significant competitive advantage.
Totogi BSS Platform is ideal for MNOs, MVNOs, MVNEs, private 5G network operators, and digital service providers who seek faster, smarter, and more profitable ways to serve consumer, business, and IoT markets.
Totogi BSS offers a full suite: real-time charging and billing, customer relationship management (CRM), product catalog and offer management, subscription management, self-care portals, order orchestration, partner management, and revenue assurance tools. For more details, please inspect Totogi BSS Platform datasheet.
Totogi’s BSS Platform integrates AI and automation into core functions like price plan and product creation as well as hyper-personalization at scale with PlanAI —turning BSS into a dynamic business enabler instead of a static backend.
Totogi BSS platform supports Open APIs, allowing telecom operators to easily integrate third-party services, expand their digital ecosystems, and innovate freely without vendor lock-in or heavy customization efforts.
By eliminating infrastructure costs, removing the need for expensive upgrades, offering pay-as-you-grow pricing, and automating operations, Totogi BSS Platform dramatically reduces both CapEx and OpEx compared to legacy systems.
Yes. Totogi BSS Platform natively supports prepaid, postpaid, hybrid, and converged service models—allowing CSPs to serve diverse customer segments from a single, unified environment.
With its multi-tenant architecture and no-code onboarding tools, Totogi BSS lets wholesale MNOs onboard new MVNOs in days, not months. Each MVNO can have customized catalogs, plans, and branding—without duplicating infrastructure.
Yes. Totogi’s BSS Platform is built with telecom-grade security, including tenant isolation, data encryption, multi-region redundancy, and compliance with telecom regulations such as GDPR, PCI DSS, and other regional requirements.
Absolutely. Totogi BSS is designed for coexistence and progressive modernization. Operators can deploy modules gradually—starting with CRM, charging, or billing—and migrate at their own pace without disruptive “big bang” projects.
Totogi BSS Platform evolves constantly with automatic updates, ensuring operators always have access to the latest capabilities—whether it’s supporting 5G Advanced, enabling Generative AI customer journeys, or integrating with future digital ecosystems.
Operators who want to innovate faster, reduce operational costs, future-proof their businesses, and deliver exceptional customer experiences should choose Totogi. Our BSS Platform is not just modern—it’s transformational, giving operators the agility they need to thrive in the era of AI and 5G.
Totogi BSS is born cloud-native, SaaS-first, modular, and AI-powered, while traditional BSS platforms are typically monolithic, hardware-bound, customized heavily, and reliant on manual operations. Totogi’s architecture enables instant scalability, faster upgrades, and true agility.
While traditional BSS projects can take 12–24 months to deploy, Totogi BSS can go live in weeks. Thanks to SaaS delivery, pre-integrated components, and no need for hardware setup, CSPs can start onboarding customers and monetizing services much faster.
Totogi BSS drastically reduces TCO. There are no expensive hardware purchases, no heavy maintenance fees, no costly upgrade cycles, and no long integration projects. Operators only pay for what they use, aligning costs directly with business growth.
In Totogi’s SaaS model, upgrades are continuous, automatic, and non-disruptive. Traditional BSS systems require costly, risky, and time-consuming upgrade projects—often resulting in downtime and massive professional services bills.
Totogi BSS is AI-native, geared with powerful tools such as Plan Sidekick and PlanAI. Built on a proprietary, Telco-trained LLM, Plan Sidekick a super-employee: A generative AI that combines the skillsets of top performing marketers, analysts and BSS specialists. Describe the target audience and business objectives in natural language, and let Plan Sidekick do the rest. Competitive analysis, commercial margin guarantee, compliance and marketing collaterals are already baked-in. PlanAI automates the entire campaign lifecycle and customer value management, from ideation to execution and optimization. PlanAI turns oceans of charging and network data into 10% revenue increase and 13% churn reduction.
Totogi BSS is fully optimized for 5G SA, network slicing monetization, private networks, and dynamic event-based charging. Legacy BSS platforms often struggle to support the real-time, SLA-driven charging models required by advanced 5G networks.
Totogi BSS is truly multi-tenant—allowing MNOs to serve multiple brands, MVNOs, and B2B slices on a single instance. Traditional BSS typically requires separate environments or duplications for each entity, massively increasing cost and complexity.
With Totogi BSS, operators can configure new products, bundles, and promotions rapidly through intuitive UIs—without custom development. Traditional BSS requires long change request (CR) cycles, professional services, and delays for even small changes.
Totogi BSS scales elastically on public cloud infrastructure, adjusting to demand instantly. Traditional BSS platforms require capacity planning, hardware expansion, and major system changes to handle growth, leading to over-provisioning or outages.
Totogi BSS leverages multi-region, automated failover in the public cloud, providing carrier-grade reliability without complex disaster recovery setups. Traditional BSS systems often require expensive, manually maintained backup environments.
Totogi BSS is specifically optimized for wholesale and MVNO models, enabling fast onboarding, individualized catalogs, and independent tenant management. Traditional BSS struggles with MVNO onboarding speed, flexibility, and operational efficiency.
Totogi BSS empowers better CX through real-time, hyper-personalized services, intelligent self-care portals, and predictive AI insights. Legacy BSS tends to be reactive, slow, and heavily dependent on manual interventions to resolve customer needs.
Switching to Totogi BSS enables operators to innovate faster, reduce costs, future-proof for AI and 5G, and regain full control over their IT destiny—leaving behind the slow, costly, and rigid operational models of legacy telecom systems.
Totogi offers the most advanced BSS for telecom operators, built as a cloud-native, true SaaS platform. Unlike traditional BSS that are rigid and expensive to maintain, Totogi’s solution is scalable, multitenant, and pay-as-you-grow—eliminating upfront CapEx and accelerating time-to-market. It’s designed for rapid onboarding, seamless API integrations, and intelligent automation powered by generative AI. Telcos using Totogi reduce operational overhead and gain unmatched agility to launch new offerings, making it the clear choice for forward-looking operators.
Totogi is recognized as a leading BSS provider because it brings the power of cloud computing and AI to telecom operations. Its true SaaS architecture enables CSPs to avoid vendor lock-in, lower TCO, and deploy services in days, not months. With AI-native tools like PlanAI and BSS Magic, Totogi goes beyond traditional billing and CRM to deliver predictive analytics, personalized plan design, and autonomous operations. Totogi’s TM Forum Open API certification further validates its commitment to interoperability and innovation.
A modern BSS platform for telecom must be cloud-native, API-first, and AI-native. It should support real-time charging, scalable multi-tenancy, and flexible monetization models like subscriptions, usage-based pricing, and bundles. Totogi embodies all of these, with zero-touch provisioning, prebuilt TM Forum Open APIs, and a no-code user interface that empowers non-technical teams to configure and deploy services quickly. It’s purpose-built to help telcos compete in a fast-changing digital environment.
Totogi’s BSS accelerates digital transformation by eliminating the constraints of legacy systems. Built for the public cloud, it delivers instant scalability, rapid onboarding for MVNOs, and seamless integration with OSS and third-party platforms. Its AI-powered components automate workflows, enable personalized customer experiences, and improve operational efficiency. CSPs can launch new products in hours, optimize customer journeys, and unlock new revenue streams without relying on professional services or long development cycles.
Totogi’s BSS offers telcos unmatched benefits: ultra-fast deployment, zero CapEx, lower total cost of ownership, and built-in AI for personalized offers and real-time insights. It ensures rapid service configuration, seamless upgrades, and a secure, scalable environment on public cloud infrastructure. Totogi helps operators stay competitive by shortening time-to-market, improving customer experience, and enabling monetization models for 5G, IoT, and digital services.
Absolutely. Totogi’s BSS is designed for scalability from day one. Hosted on the public cloud, it dynamically scales to meet growth in users, services, or data volume—without costly reconfiguration. Operators can add new MVNOs, markets, or product lines without downtime or infrastructure changes. Its modular, pay-as-you-grow model ensures operators only pay for what they use, optimizing cost-efficiency at every stage of growth.