The book
How to survive the era of Liquid Evidence.
In a world rushing to adopt AI, few stop to ask the critical question: what happens when it goes wrong, and you cannot prove why it decided what it decided?
What you'll take away
The framework, end to end
Liquid Evidence
Why AI's justification evaporates the moment a decision is made, and the Solid, Viscous, Liquid taxonomy for knowing your state.
The R-Score
R = (V × H) / C. A bounded, anchored heuristic that turns "are we ethical?" into "what are we doing about the denominator?"
The Four Pillars
Named Owner, Evidence Loom, Intelligent Loop, and the Liability Kill-Switch: the architecture of a defensible decision.
Run it on Monday
Worked examples from regulated financial services, the Denominator Trap, and how to govern by arithmetic rather than checklists.
Who it's for
Written for the people who'll be asked "why?"
CEOs, CTOs, CIOs, CISOs, Chief AI Officers, board members, regulators, risk and compliance leaders, enterprise architects, and every practitioner who builds or governs consequential AI.