Three series, each written as a run rather than a collection. Every post in each was published on a fixed cadence over a defined period, and each has its own organizing device, so they read end to end rather than as an archive you dip into.
Two are written from inside a large organization. One is written from the other side of the table.
Scaling AI FinOps in the Enterprise Jungle
Twenty five lessons, fortnightly, 8 April 2025 to 24 March 2026.
How to set up AI FinOps in a large enterprise: what it costs, how to measure whether it was worth it, and why the machinery that worked for cloud does not transfer. Told as a serial with a cast of animals, one jungle and two budget cycles, on the argument that AI is the first category of enterprise spend where the cost number alone tells you nothing about whether the money was well spent.
For CFOs, CIOs and the executives who have to agree on a number. No vendor, product or provider is named anywhere in it.
In Practice: AI in the Enterprise
Ninety field notes, every working day, 28 March to 29 July 2026.
Governing artificial intelligence inside a large organization. Every post starts from a moment rather than a framework: a board asking who approved a system, a regulator asking for a decision log, a model running for eight months making expensive mistakes nothing was built to show. The through-line is that enterprise AI rarely fails on the technology, it fails on who decided, on what basis, and who is watching now.
For the people who have to answer for these systems rather than the people who build them. Boards, risk, legal, and the executives who sign.
In Practice: Building an AI Company
Twenty lessons, every working day, 30 July to 26 August 2026.
Starting and scaling an AI company, written from inside a live build. Every lesson is anchored to one document a founder produces or receives, in roughly the order it lands on the desk: the certificate of incorporation, the first model provider invoice, the pull request nobody reviewed, the security questionnaire, the term sheet.
For founders and for people deciding whether to become one.
How they fit together
The first two are the enterprise view, and they are deliberately sequenced. The FinOps series concludes four days before the governance series begins, because cost is the tractable half of enterprise AI and governance is the half that decides whether any of it survives a serious question. Either can be read first, but that is the order they were written in.
The third is the same problem seen from the opposite direction. The security questionnaire that a founder cannot answer yet in one series is the vendor risk conversation in another. The cost model that determines a startup’s margin is the invoice that lands on an enterprise CFO’s desk. Read together, they describe both sides of the same negotiation.
What recurs across all three is unglamorous and cheap to do early. Write the decision down. Name one accountable person. Instrument the thing that would change your mind. Look at the document before the day somebody asks you about it.
CodeDebate by Ben 