New release / July 2026
Moonshots, Misfires and Management: How to Avoid an AI Boondoggle
Why do sophisticated AI deployments collapse inside world-class organisations? Rarely because of the algorithms. From Watson's oncology misadventure to Zillow's algorithmic property collapse, Paul Forrest shows how boardroom incentives, unexamined procurement and flattering green dashboards turn reasonable technical choices into structural boondoggles.Paul Forrest shows how boardroom incentives, unexamined procurement and flattering dashboards turn sound technical choices into structural boondoggles.
Kindle Edition / 383 pages / From £3.99, or free on Kindle Unlimited
New release / August 2026
Who Answers When Nobody Owns the Outcome?
Ask who decided, and the answer is rarely a name; it is a description of a process. AI did not create that gap. It reveals the gaps organisations had already built, then operates through them at machine speed. From Robodebt to the 737 MAX, Paul Forrest shows how competent people each discharge their own part properly while the chain between them breaks.It reveals the gaps organisations had already built, then operates through them at machine speed.
Kindle Edition / 371 pages / From £3.99, or free on Kindle Unlimited
New release / September 2026
How to Build an AI Advantage Your Competitors Can’t Copy
Every competitor can buy the same models you can, in the same quarter, at a price that is falling for all of you at the same rate. What none of them can buy is what your company has learned. What it decided, why, what it ruled out, what happened afterwards, and which of those outcomes changed what it did next. That material exists in every firm and is recorded in almost none. Rent the models, own the learning, and almost every programme Paul Forrest is shown has the two the wrong way round.That material exists in every firm and is recorded in almost none.
Kindle Edition / 346 pages / From £3.99, or free on Kindle Unlimited
Ecaveo Applied AI Research
Nine papers by Paul Forrest across two series, on the responsible adoption of artificial intelligence in regulated and evidence-bound industries. The three most recent revisit subjects first covered in 2023 and bring the evidence up to date. Each paper stands alone. Open one to read the findings, or go straight to the download.
Swipe to browse all nine papers
Every organisation, engagement and scenario used as an illustration in these papers is desensitised. Nothing in the series constitutes legal, audit or investment advice, and the material is presented to support discussion and further review by qualified advisers.