Ep 125 – What’s up with Totogi: The power of vertical AI (Michael Walker)
Michael Walker explains how Totogi’s vertical AI and context engineering transform AI from flashy demos into enterprise solutions that scale across telco operations.
The telco industry loves to differentiate on technical specs—five nines of reliability, fastest 5G, most coverage. But Gabriela Styf Sjöman, Managing Director of Research and Network Strategy at BT Group, has a radically simple framework that cuts through the noise: every technology decision comes down to two questions—does it help us make money or does it help us save money?
In this episode, Gabriela breaks down BT’s dual AI strategy: “AI for networks” (using AI to optimize internal operations) and “networks for AI” (building networks that support customers’ AI workloads). We discuss why “best network” marketing is dead, how telcos need better customer segmentation beyond just “consumer vs. enterprise,” and why the biggest barrier to AI adoption isn’t technical capability—it’s cultural change. If you’re a telco exec struggling to get value from AI investments, this conversation will reframe how you think about technology strategy.
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Gabriela Styf Sjöman is a global executive with extensive international business experience in the telecom and IT industries. She has held executive positions in numerous multinational organizations across functions such as strategy, technology, business, and sales. She is currently Managing Director of Research and Network Strategy at BT Group, where she oversees network strategy, industry standards, technology research, and research commercialization. Prior to joining BT Group Gabriela held various executive positions such as Chief Strategy Officer at Nokia, Deputy Chief Operating Officer and VP Head of Network Services at Telia Company, VP Head of Networks and TI Labs at Telecom Italia, and numerous positions at Ericsson spanning Technology and Business.
The Telco in 20 podcast is ranked in the top 5% of all podcasts globally by Listen Notes! 🎉 We’ve also won a 2024 MarComm Award, 2024 and 2025 Hermes 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.
BT Group’s AI strategy has two components: “AI for networks” and “networks for AI.” AI for networks focuses on using AI internally to improve how BT builds, operates, and delivers network services—including intelligent operations and cybersecurity. Networks for AI focuses on building networks that deliver customer value in a world where customers are implementing AI for their own operations, ensuring BT can serve evolving AI workload requirements.
Gabriela argues that while telcos have focused heavily on network and digital transformation projects, the real priority should be commercial and business transformation. Telcos need to evolve up the value chain and approach technology decisions through a simple business lens: does it help make money or save money? The industry still profits from services launched a century ago, indicating insufficient commercial innovation despite technical advancement.
The essential cultural shift is moving from being network-centric to subscriber-centric. Network organizations must develop skills in process redesign, foster collaboration across teams, and learn to think about consumer services rather than just network resources. Teams need to understand that what matters to customers is the overall service experience—reliable, seamless, and on-demand—not technical specifications or domain-specific network components.
As networks reach parity in speed and coverage, “best network” claims no longer differentiate providers. Instead, telcos should focus on the most competitive value proposition by understanding what customers actually want and value. For most consumers, reliability matters more than raw speed—they want seamless, always-on service that works consistently everywhere they go. Better customer segmentation and understanding specific needs are the keys to differentiation.
Danielle Rios measures every employee’s AI usage daily and receives weekly reports showing organizational adoption rates, leaders, and laggards. Totogi provides employees access to all AI tools (Claude, ChatGPT, Cursor), trains them on data safety, and encourages experimentation. This fearless AI adoption has improved team productivity by as much as 10X over the past year, resulting in faster projects, lower costs, and higher quality outcomes for customers.
Danielle Rios is passionate about hyper-personalization as an untapped revenue source for telcos. She believes telcos are sitting on valuable subscriber data—routes, locations, line counts—that could optimize pricing and offerings similar to how airlines dynamically price seats. Totogi focuses on helping telcos monetize this data by making it accessible and actionable, enabling telcos to move beyond searching for new revenue use cases and instead leverage the goldmine of insights they already have in their possession.