Your AI is already making decisions. Who gave it the authority?

The AI tool that now shapes your pricing, your triage, your shortlist did not come through a gate. No approval, no owner, no date on which a human being accepted the consequences. It arrived in the working day, and people started using it.

AADOM™, the Agile AI Decision Operating Model, closes that gap without slowing you down. A named person behind every AI-assisted decision. A four-page Canvas stating what the AI may and may not do. A signed record with an expiry date, so an authorisation cannot quietly become permanent.

One role, three artifacts, two questions, four pages. No new forum. No new tool.

Then the whole distance: eleven tests that set the level of control, a named ladder from ASSIST to EXECUTE, crosswalks written to support an audit rather than claim compliance, and agents, which act in the gaps between your reviews.

Every claim is labelled with the standard it meets. Where the evidence does not yet exist, the book says so.

Inside: 22 chapters, 41 figures, and a complete reference section with ready-to-use templates for AI use registration, the Boundary Canvas, the AI Decision Record and the Learning Register.

Written for leaders, project and programme managers, Scrum Masters, product owners and governance teams who will have to answer for what their AI does.

Paperback edition, black-and-white interior. Full-colour figures are in the Kindle edition.