Essays on the agentic enterprise, AI governance and AI-first operating models.
I write to work something out, usually something I’ve just seen in a client or on a stage. Most of it is about the gap between what AI can do in a demo and what it takes to run in a business that answers to a regulator.
Notes from the build
I write about what happens when AI leaves the slide and enters an operating model: the architecture, the cost, the governance, and the people who have to work differently afterwards. Short pieces, specific examples, no predictions about 2030.
Four series, each with a point of view rather than a category.
- Field Notes from the Agentic Enterprise
What actually happens when agents run a real process. Architecture, failure modes, and the operating changes nobody budgets for. - Pilot Hell
Post-mortems. Why GenAI programmes stall, what the successful minority do differently, and how to tell the difference early enough to act. - Governance as Runway
Cost, controls, FinOps and compliance. Why the guardrails are the thing that lets you go faster. - The People Ledger
Re-skilling, role redesign and the honest conversation about jobs, written from having done it at scale.
Themes I keep returning to
- Why AI programmes stall, and what the ones that don’t have in common
- Human above the loop: the operating model for autonomous systems
- Governance and FinOps as enablers rather than brakes
- AI-ready data, the foundation most enterprises skip
- From doing to directing: how senior teams work above the agents
The Innovation Briefing
A podcast about the reality of transformation, told by the people who led it.
Thirty to fifty minute conversations with senior executives and operators about one real transformation each: the decisions, the bets, the things that didn’t work. Editorial, not promotional.
Available on Apple Podcasts, Spotify, YouTube and the Substack newsletter.