AI dazzles in demos but stalls in the enterprise. In this deep dive with a new section on rapid-fire questions by Srini Annamaraju, the resident tech strategy expert on the No Effing AIdea podcast, David Royle , reveals why — and how a smarter Target Operating Model (T.O.M.) can finally bridge the gap between ambition and adoption.

This episode connects TOM blueprints to the people dimension: the rise of AI workflow architects, the tension between agents and humans, and the messy middle where governance meets innovation.

💡 What we cover:

Why enterprises confuse AI projects for AI infrastructure
How to design a T.O.M. that balances guardrails and greenlights
The rise of new ‘hot’ AI roles — and which ones will fade fast
What happens when test kitchens meet board-level control
Why scaling AI isn’t a tech problem — it’s an operating model one

David brings creative clarity and a rare mix of strategic and operational design chops. Srini brings decades of enterprise GTM and technology experience.

Together, they unpack what it really takes to make AI run the enterprise — not just impress it.

Ep #3: Enterprise AI Field Notes: T.O.M., 'Hot' AI Roles, Agents v. Humans, Rapid-fire Q&A