With out context, AI guesses — creating unreliable outcomes. Ontologies intention to resolve the issue.
Throughout Cellular World Congress Barcelona 2026, Totogi CEO Danielle Rios sat down with RCR Wi-fi Information’ Sean Kinney to unravel what’s stopping telcos from working AI brokers, even once they have a whole lot of them deployed.
“It’s all about governance,” she stated. “They’re unsure they’re going to make the suitable resolution, so that they’re pumping the brakes.” The foundation downside, she defined, is context.
For instance, totally different telco techniques usually outline “subscriber” in another way. Is it a tool? Is it a line? An individual or an enterprise? AI, whereas highly effective at making selections, struggles in these ambiguous situations. When it lacks context, it guesses, resulting in the unreliable outcomes that operators fear about.
Rios stated that till telcos mannequin their complete operation — their enterprise processes, the selections they make, their guidelines — in a manner AI brokers can use throughout the enterprise, the issue will persist.
Totogi’s reply is an ontology — semantic framework that defines how knowledge, ideas, and relationships join inside a site. Not like easy classification instruments, they seize the relationships and context that enable techniques to interpret and act on knowledge, going past taxonomies or schemas that merely set up info.
The Totogi Ontology sits atop current BSS, OSS, and community techniques, unifying how your small business is represented and enabling AI to know, purpose, and act throughout your complete atmosphere. By normalizing entities, processes, and actions from siloed functions right into a single semantic mannequin, it creates a digital twin of your telco that enables AI to function reliably and execute duties with decreased hallucination threat. “It’s one illustration of your telco, one reality,” stated Rios. “Once you create an AI software, it runs via the ontology and right down to your legacy techniques. The ontology gained’t let it make a mistake.”
Actual-world deployments
Totogi says a number of operators are already making use of the strategy in real-world deployments. Almost 10 Tier-1 operators are presently utilizing its ontology resolution.
One buyer, Zain Sudan, confronted a community subject the place sure cells would go dormant with out triggering alarms. Earlier than implementing the Totogi Ontology, figuring out and resolving the problem usually took about 48 hours. “We introduced that right down to half-hour,” Rios stated. “And now we will add predictive AI on prime of it and cease it earlier than it even occurs.”
In distinction, Singapore-based StarHub is utilizing the Totogi Ontology inside its enterprise enterprise unit to speed up gross sales coaching and help reside buyer conversations. As gross sales representatives communicate with prospects, the system transcribes the dialog, suggests responses, and recommends related merchandise. “It’s like having your CMO suggest the precise merchandise you need to promote, bundling the merchandise in the suitable manner, with the very best margin,” Rios stated.
The strategy goals to protect the human aspect of enterprise gross sales whereas giving representatives real-time steerage throughout conversations.
“As soon as telco begins to make use of that ontology and unlock use instances, we’ll actually see a hockey stick of adoption as a result of they will belief AI will make the suitable resolution,” Rios stated.
