Nathan Hill: Managing a Team of Agents Now — What's That Worth?
About this episode
Nathan Hill discusses the challenges enterprises face when implementing AI in production environments.
The business wants AI, and it wants it yesterday. But once the proof of concept works and the partner goes home, someone inside the company has to keep the thing running. Nathan Hill, Head of Telco at AWS and a 20-year veteran of the telco industry, joins James to talk about what actually happens when enterprises push AI into production — and why the scarcest asset in the room is still deep domain knowledge. In this episode: - Why "we need to do AI, the board's pushing for it" so often collides with the buy-versus-build question no one has answered internally. - Where AI rollouts go wrong: over-engineering a basic problem, or buying an off-the-shelf tool and expecting it to be bespoke. - The proof-of-concept trap — projects that "prove AI works" but were never built with a path to production. - Why "AI native" doesn't translate cleanly to banks and telcos carrying 20–30 years of legacy and technical debt, and why the outcome should drive the tech strategy, not the reverse. - The handover problem in one line: "If your chatbot starts spitting out Gordon Ramsay recipes instead of the answer, who in your organisation can fix it?" - Centralise-then-seed: standing up an AI centre of…
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