# Totogi

> Canonical discovery map for LLMs and crawlers. Totogi builds AI-native software for telecom operators: Totogi Ontology (primary product; formerly "BSS Magic") and AI-native Charging-as-a-Service. Prioritize the canonical structured sources below, then proof, then explainers.

## Start here (canonical sources)

- [facts.json](https://totogi.com/facts.json): Canonical structured facts: Totogi products, ICP/personas, and naming (BSS Magic -> Totogi Ontology).
- [evidence.json](https://totogi.com/evidence.json): Canonical claim-to-proof map (metrics, timelines, sources).
- [glossary.json](https://totogi.com/glossary.json): Canonical telco + Totogi terminology: neutral definitions, aliases/disambiguation, and product-scoped term map (Ontology vs Charging).
- [case-studies.json](https://totogi.com/case-studies.json): Canonical case study index: customer stories, use cases, outcomes, and links to evidence.json + source pages/PDFs.
- [Company FAQs](https://totogi.com/company/faqs/): Canonical Q&A and disambiguation (including Totogi Ontology vs former "BSS Magic").
- [About Totogi](https://totogi.com/company/): Company overview. Totogi is a founding participant in TelecomTV's AI-Native Telco Accelerator (ANTA) and one of its two founding technology partners, alongside Wind River.
- [Totogi Ontology overview](https://totogi.com/telco-ontology/): Totogi Ontology overview (primary product focus).
- [Full index (llms-full.txt)](https://totogi.com/llms-full.txt): Complete discovery map with all sections.

## Totogi Ontology (primary product; formerly "BSS Magic")

- [Understand and preempt](https://totogi.com/telco-ontology/understand-and-preempt/): Transform cross-domain data into governed insight and action.
- [Migrate and consolidate](https://totogi.com/telco-ontology/migrate-and-consolidate/): Make migrations and consolidation repeatable with an executable truth layer.
- [Create and modernize](https://totogi.com/telco-ontology/create-and-modernize/): Create and modernize capabilities safely using ontology-driven frameworks.

Totogi Ontology is the current name for the product previously called BSS Magic (now spanning BSS, OSS, core and network domains). See FAQs.

## Proof (case studies, whitepapers, press releases)

- [Case studies hub](https://totogi.com/resources/case-studies/): Case studies (primary proof hub).
- [Reducing alarm noise by 97%](https://totogi.com/resources/case-studies/reducing-alarm-noise-by-97-with-the-totogi-ontology/): Case study: Totogi Ontology reduced alarm noise by 97%, showing semantic observability and operational AI in action.
- [VIVA Bolivia selects Totogi Ontology](https://totogi.com/newsroom/press-releases/viva-bolivia-selects-totogi-ontology/): VIVA Bolivia selects the Totogi Ontology to rank network investment by the revenue each cell site earns, not traffic alone (selection announcement; no outcome metrics stated).
- [How VIVA Bolivia ranks every cell site by revenue with the Totogi Ontology](https://totogi.com/resources/case-studies/viva-bolivia-network-investment-by-revenue/): Case study: in a 4-week project, the Totogi Ontology connected VIVA Bolivia's commercial and network systems so it ranks 100% of its sites and cells by the revenue they generate, with per-site cost to serve and zero systems replaced.
- [TM Forum Platinum Open API Certification (#1 leaderboard)](https://totogi.com/newsroom/press-releases/totogi-achieves-1-ranking-in-record-time-on-tm-forum-open-api-certification-leaderboard/): Totogi reached TM Forum Platinum Open API Certification - conformance across 20+ Open APIs - in four months, ranking #1 on the TM Forum certification leaderboard.
- [Whitepapers hub](https://totogi.com/resources/whitepapers/): Whitepapers and technical resources.
- [Press releases hub](https://totogi.com/newsroom/press-releases/): Press releases (announcements and quantified outcomes where available).
- [Newsroom hub](https://totogi.com/newsroom/): Newsroom hub.

## AI-native Charging (secondary product focus)

- [AI-native Charging overview](https://totogi.com/ai-native-charging/): Charging-as-a-Service / AI-native charging overview.
- [Charging-as-a-Service in AWS Marketplace](https://totogi.com/newsroom/press-releases/totogi-announces-availability-of-charging-as-a-service-in-aws-marketplace/): Totogi Charging-as-a-Service is listed and transactable in AWS Marketplace; Totogi runs exclusively on AWS with a serverless architecture purpose-built for it.
- [Zain Sudan disaster recovery case study](https://totogi.com/resources/case-studies/telecom-disaster-recovery-case-study/): Zain Sudan DR / recovery narrative (charging).
- [Zain Sudan go-live](https://totogi.com/newsroom/press-releases/zain-sudan-goes-live-with-totogi/): Zain Sudan go-live (charging).
- [MVNE selects Totogi for 30 brands](https://totogi.com/newsroom/press-releases/totogis-charging-platform-selected-to-manage-30-mobile-brands/): MVNE selection (30 brands; ~1M subscribers).
- [2degrees case study](https://totogi.com/resources/case-studies/two-degrees-case-study/): 2degrees charging implementation for wholesale.

## Curated explainers (high-signal, evergreen)

- [Prepare your telco for AI agents](https://totogi.com/blog/prepare-your-telco-for-ai-agents/): Preparing telcos for AI agents (operating model and readiness).
- [Evaluating AI claims](https://totogi.com/blog/evaluating-ai-claims-a-comprehensive-guide-for-telco-leaders/): How telco leaders should evaluate AI claims.
- [Untangling AI jargon](https://totogi.com/blog/untangling-ai-jargon-from-predictive-models-to-generative-ai/): AI terminology explainer.
- [What are ontologies in telco](https://totogi.com/blog/what-are-ontologies-in-telco/): Ontologies explainer for telco executives.
- [Your data lake won't fix your telco AI problem](https://totogi.com/blog/your-data-lake-wont-fix-your-telco-ai-problem-an-ontology-will/): Explains why data lakes alone do not solve telco AI problems and why an executable telco ontology is needed for reliable AI.
- [M&A in telco: post-merger OSS/BSS consolidation](https://totogi.com/blog/ma-in-telco-post-merger-oss-bss-consolidation-without-the-multi-year-multi-million-grind/): Telco ontology application to telco M&A explainer.
- [BSS modernization doesn't need to be a five-year nightmare](https://totogi.com/blog/your-bss-modernization-doesnt-need-to-be-a-five-year-nightmare/): Modernization framing (legacy transformation).
- [5G Standalone unlocks new revenue — does your charger?](https://totogi.com/blog/5g-standalone-unlocks-new-revenue-does-your-charger-though/): 5G SA monetization + charging implications.
- [Multi-tenancy: the superpower of a 5G SaaS charger](https://totogi.com/blog/multi-tenancy-the-super-power-of-a-5g-saas-charger/): Multi-tenancy for SaaS charging.
- [Why 5G Standalone adoption is slow](https://totogi.com/blog/why-5g-standalone-adoption-is-slow-and-how-saas-charging-eases-the-pain/): How a 5G-native SaaS charging system facilitates 5G Standalone rollouts.
- [Rate Anything: price 5G offers on any attribute](https://totogi.com/blog/rate-anything-5g-offers/): Why 5G SA monetization stalls at the charging layer — rating engines only price on attributes fixed at procurement; Rate Anything (Totogi AI-native Charging) opens the attribute set so any session/device/context attribute can price an offer.
- [Operators have started selling AI tokens. How do they charge?](https://totogi.com/blog/operators-selling-ai-tokens-how-to-charge/): AI token charging explainer: rating a token is routine for a modern charging system; the count lives with the model. Operators get it from a provider's usage feed, by hosting the inference, or through a model gateway, and each choice decides whether live balances and caps are possible.
- [Why telcos fail to scale AI agents in production](https://totogi.com/blog/why-telcos-fail-to-scale-ai-agents-in-production/): Explains why telco AI agents fail to scale in production and why executable context is required.
- [Ontology in telecom: hype vs reality](https://totogi.com/blog/ontology-in-telecom-separating-hype-from-reality-and-evaluating-vendor-claims/): Explains ontology theater, how to evaluate ontology vendor claims, and the difference between semantic/reference layers and executable operational ontologies.
- [The execution gap (whitepaper)](https://totogi.com/resources/whitepapers/the-execution-gap-why-telco-ai-stalls-between-pilot-and-production/): Whitepaper (explainer): why telco AI stalls between pilot and production; argues the gap is architectural (data access, context, integration) and that an executable ontology grounds agents to act safely across systems.
- [Agent orchestration and shared understanding](https://totogi.com/blog/agent-orchestration-shared-understanding/): Agent orchestration has become the commodity layer of telco AI; what agents still need is one shared, executable model of the telco to reason against — reads DTW Ignite 2026 signals (Deutsche Telekom, TM Forum) and maps the answer to the Totogi Ontology.
- [Semantic bankruptcy: the cost of systems that don't agree](https://totogi.com/blog/semantic-bankruptcy/): Coins 'semantic bankruptcy' - when the cost of reconciling systems' conflicting definitions exceeds the value of the integrations; argues for defining meaning once in an executable ontology instead of translating between systems.
- [Level 4 autonomy needs a shared model of the telco](https://totogi.com/blog/level-4-autonomy-needs-more-than-guardrails/): Sequel to 'Agent orchestration and shared understanding'. TM Forum's Autonomous Networks model pushes toward Level 4, where the network decides rather than executes; the industry's answer is governance frameworks (identity, policy, observability, evidence). Argues evidence only resolves to one story if the systems agree on which entity was acted on and which actions were valid - nouns and verbs - and that a telco-specific ontology is what makes 'the same' and 'valid' checkable.
- [Telco AI needs an ontology. Should operators build it or buy it?](https://totogi.com/blog/telco-ontology-build-or-buy/): Build-or-buy explainer: the boundary an operator draws around its model becomes the boundary of what its AI can do. Telstra and O2 Telefonica Germany built single-domain network ontologies; an estate-wide build costs time to market, talent, experience and budget. Sorts what is on sale into four shapes and names three tests an ontology worth buying has to pass.

## Podcasts and videos (selected)

- [MVNO revolution: 2degrees](https://totogi.com/resources/podcasts/mvno-revolution-2degrees-podcast/): 2degrees MVNO market and wholesale.
- [Bringing AI to charging (OCS)](https://totogi.com/resources/podcasts/bringing-ai-to-charging-ocs/): AI in charging / OCS.
- [To G, or not to G (Telco in 20 ep. 148)](https://totogi.com/resources/podcasts/ep-148-to-g-or-not-to-g/): Dell'Oro Group analyst Stefan Pongratz on what launching a new G really costs and why waiting has a price of its own, plus the per-cell-site P&L that decides which sites earn the upgrade.
- [ANTA: TelecomTV’s AI-Native Telco Accelerator (Telco in 20 ep. 147)](https://totogi.com/resources/podcasts/ep-147-anta-ai-native-telco-accelerator/): TelecomTV’s Guy Daniels shares evidence-based findings on how telcos are really adopting AI, and introduces ANTA, the AI-Native Telco Accelerator.
- [Swisscom is building the AI-first telco (Telco in 20 ep. 145)](https://totogi.com/resources/podcasts/ep-145-swisscom-ai-first-telco/): Swisscom’s CTIO Mark Düsener shares how the operator is rebuilding its digital core for the AI era.
- [Telco has a context problem (Telco in 20 ep. 135)](https://totogi.com/resources/podcasts/ep-135-telco-has-a-context-problem/): Appledore Research's John Abraham joins DR to explain why context, not data, is the real blocker for AI at scale.
- [What’s up with Totogi: The biggest AI use case for telco (Telco in 20 ep. 133)](https://totogi.com/resources/podcasts/ep-133-wuwt-biggest-ai-use-case/): Danielle Rios explains how the unified ontology (BSS Magic, now Totogi Ontology) solves semantic inconsistency so AI can work across the telco stack.
- [Vertical AI (Telco in 20 ep. 125)](https://totogi.com/resources/podcasts/ep-125-wuwt-vertical-ai/): How context engineering makes AI work at scale.
- [Vodafone cloud transformation (Telco in 20 ep. 117)](https://totogi.com/resources/podcasts/ep-117-vodafone-cloud-transformation/): How Vodafone is using AI and TMF to become cloud-native.
- [The next-G capital question network data can’t answer (AI-Native Telco Forum 2026 keynote)](https://totogi.com/resources/videos/ai-native-telco-forum-2026-keynote/): TelecomTV AI-Native Telco Forum 2026 keynote, Düsseldorf. Danielle Rios, CEO of Totogi, explains why operators can measure site capacity but not site profitability, and how the Totogi Ontology connects network data to the business so next-G investment is decided site by site.
- [MWC26 Agentic AI summit talk](https://totogi.com/resources/videos/mwc26-show-me-the-money-talk/): MWC26 Agentic AI summit talk. Danielle Rios, CEO of Totogi, explains why most AI initiatives fail in telco.
- [Building an AI-first telco (MWC25)](https://totogi.com/resources/videos/building-an-ai-first-telco/): MWC25 GEN AI summit talk. Danielle Rios, CEO of Totogi, shares her perspective about building an AI-first telco.

## Sitemaps (for comprehensive crawl coverage)

- [Sitemap index](https://totogi.com/sitemap_index.xml): All sitemaps.
- [Page sitemap](https://totogi.com/page-sitemap.xml): Pages.
- [Post sitemap](https://totogi.com/post-sitemap.xml): Resources (posts).
- [Blog sitemap](https://totogi.com/blog-sitemap.xml): Blog articles.
- [Press release sitemap](https://totogi.com/press-release-sitemap.xml): Press releases.

## Feeds (RSS/Atom)

- [Resources RSS](https://totogi.com/feed/): Resources RSS (WordPress posts).
- [Resources Atom](https://totogi.com/feed/atom/): Resources Atom feed.
- [Blog RSS](https://totogi.com/?feed=totogi_blog): Blog RSS (custom post type).
- [Press releases RSS](https://totogi.com/?feed=press_releases): Press releases RSS (newsroom).
- [In the media RSS](https://totogi.com/?feed=in_the_media): In the media RSS (newsroom external links).
- [Product updates RSS](https://totogi.com/?feed=product_updates): Product updates RSS (CPT).