At MWC, vendors will flood the floor with AI demos that look impressive but can’t prove their actual value. Telcos have spent billions connecting systems, but connection isn’t comprehension. Most AI initiatives are blind—unable to see across the fragmented landscape of BSS, OSS, and network systems that speak different languages and live in isolated realities.
The Totogi Ontology is a semantic layer that gives AI the ability to understand your business. Once it does, the army of consultants you’ve been paying to manually stitch together data across systems becomes redundant—and the economics of everything changes. So when the same vendor selling you AI is also billing you for the consultants that AI should replace, ask them to show you the money.
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Wanna talk AI and public cloud? Telco execs, set up a meeting with our team to learn how to tap the immense business value it can bring.
Danielle Rios (DR) is the founder and CEO of TelcoDR and Totogi, and host of the Telco in 20 podcast.
The Telco in 20 podcast is ranked in the top 5% of all podcasts globally by Listen Notes! 🎉 We’ve also won 2024 and 2025 MarCom Awards, 2024 and 2025 Hermes Creative Awards, and are recognized as a TeckNexus Top 12 Telco and Tech Podcast, Forrester Top 100 Channel Podcast and Feedspot Top 10 Telecom Podcast.
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Set up a meeting with our team to learn how to tap the immense business value it can bring.
The core issue isn’t the AI technology itself—it’s that AI can’t comprehend the data coming out of telco software applications. While operators have spent billions connecting systems through integrations, connection doesn’t mean coherent. BSS, OSS, and network systems speak different languages and don’t share a unified understanding. When AI touches this architecture, it fails because it can see only fragments, preventing it from delivering actual economic value.
Zain struggled with dormant cells—cell sites showing green lights and no alarms but carrying zero traffic. Technicians spent 48 hours chasing these problems across disconnected systems. Totogi’s ontology created a semantic layer that understands a cell as a revenue-generating asset with subscribers, traffic, and margin attached. This reduced problem resolution from 48 hours to 30 minutes and enabled prediction of dormant cells before they occur, preventing millions in revenue loss.
DR recommends asking one critical question: “Can you show me the money?” Specifically, vendors should demonstrate actual profit flowing to your bottom line, not just potential savings. Most vendors can deliver impressive demos in controlled environments with clean data, but they can’t show how their solutions will perform when they touch real-world telco operations with hundreds of integrated but incoherent systems.
Totogi has changed the traditional vendor payment model with a unique guarantee: “If you don’t see the money, we don’t take the money.” Rather than paying for the potential or promise of AI success, Totogi gets paid only when it delivers proven, real-world profit. This stands in contrast to typical vendors that charge for the promise of AI without guaranteeing measurable results.
Telcos have spent decades and billions connecting systems, but integration only enables systems to communicate—it doesn’t create shared, semantic understanding. When they ask simple questions of their systems, it’s difficult to get quick answers because their BSS, OSS, and network boundaries each have their own version of reality. An ontology makes sense of reality, and when powered with decision making that can take action, becomes the key to unlock AI at scale.
DR will be speaking at the Agentic AI Summit on Monday, March 2, in Hall 6. The Totogi team will be in Hall 2 at MWC26 in Barcelona (March 2-5), demonstrating Totogi’s telco ontology and BSS Magic. Attendees can book meetings in advance or connect with DR on LinkedIn or X @TelcoDR to arrange time together during the event.
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