Seven new deployments across five continents in the past twelve months: deploy in weeks, prove in production, and expand

Austin, TX – In the past twelve months, the Totogi Ontology went into live production across seven new deployments on five continents. The pattern is the same everywhere: deploy in weeks, prove value in production, then expand. The approach doesn’t change; the use cases do:

• Resolution time of dormant cells cut from days to 30 minutes. At one African operator, the Totogi Ontology gave AI visibility across network, customer, and revenue context. It found outages that existing systems could not see: towers that stopped carrying traffic while monitoring reported them healthy. The operator has since expanded to a dozen more use cases.
• Network capex allocated by revenue, not capacity. A Latin American mobile operator uses the Totogi Ontology to make network capex allocation decisions, ranking investment site by site by revenue and margin impact, a decision that previously required data stitched together across network, billing, and customer systems.
• Alarm floods reduced to root causes. A sub-Saharan African operator’s network teams were processing 1.2 million alarms a week. The Totogi Ontology reduced them to a short list of actionable root causes, cutting alarm noise by 97% and mean time to repair by 75%.
• Sales calls turned into executable deals. At a leading Asia-Pacific operator, the ontology was deployed in four weeks, connecting call capture, CRM, and CPQ. Enterprise sales conversations become quotes and orders that can execute, with no administrative re-entry by reps.
• Personalized onboarding calls handled end-to-end. At a Central American operator, the Totogi Ontology gives an AI agent the customer and account context to run roughly 3,000 welcome calls a month and write the results back into the operator’s systems with no manual data entry. These calls, five to eight minutes each, were previously handled by human agents.
• BSS modernization without disruption. A tier-one European services company went live on Totogi’s cloud-native BSS in eight weeks, cutting operational costs by up to 50%, with the ontology automating up to 80% of configuration and testing along the way.
• Prove one capability, commit to the platform. A tier-one Southeast Asian operator made the Totogi Ontology the foundation for AI across its BSS estate under a multi-year agreement. The first capability is already live in production, cutting order-failure resolution from 8-24 hours to minutes.

Two of the seven have expanded beyond their first deployment and selected multi-year engagements with Totogi.

AI cannot act reliably across an operation when every system — network, OSS, BSS, CRM, charging, care — describes the business differently. It can analyze a telco; it cannot safely operate one. The Totogi Ontology sits on top of those systems and gives AI one executable model of the operator: what things mean, and which actions are valid. The ontology is not another AI model; it is the context every model needs to act safely inside a live operation. Nothing underneath is replaced. That is why deployment takes weeks, not years.

“Anyone can make AI look good in isolation. Production is where telco gets hard,” said Danielle Rios, CEO of Totogi. “We’re seeing momentum across the entire estate of a telco. That’s the Totogi model: start with a business case, prove measurable value in production, then expand.”

Totogi will demonstrate the Totogi Ontology and these operator use cases at TelecomTV’s AI-Native Telco Forum in Dusseldorf, September 8-9, where Rios will deliver a keynote on the main stage. Demonstration slots are limited; operators can book time with Totogi’s forward-deployed engineering team in advance at Totogi.com.

About Totogi

Totogi is a vertical AI company focused exclusively on telecommunications. The problem telcos face isn’t a lack of AI tools — it’s that AI can’t work at scale across fragmented legacy systems that don’t share a common understanding of the business. Totogi’s flagship product, the Totogi Ontology, creates a unified ontology of telco operations — a living digital twin built on open industry standards — that sits above existing systems and gives AI the semantic foundation it needs to operate across the entire stack. Totogi works with tier-one operators to connect systems from Amdocs, Ericsson, Huawei, Salesforce, and other vendors, enabling new AI capabilities in production without replacing a single system. Learn more at Totogi.com.