Operational AI Readiness — Standard

$14.99

A practitioner guide for teams already running AI in live workflows and needing oversight that works under ordinary use and under pressure.Best for: security, product, compliance, audit, risk, and platform teams governing AI already in productionShows how to inventory consequential workflows, classify decision influence, and build approval gates where impact justifies frictionIntroduces an evidence spine, durable human oversight patterns, vendor due-diligence questions, and a 30-day readiness sprintBuilt for teams that need artifacts, reviewer-ready evidence, and operational discipline rather than principles-only guidance

Description

Many organizations already have AI inside live workflows, but very few can explain how those workflows are governed under ordinary use and under pressure. Controls are partial, decision rights are muddy, evidence is scattered, and human oversight often exists more as a slogan than a working system. Operational AI Readiness is written to close that gap.

This book is for teams that need to make live AI workflows legible, reviewable, and defensible. It shows how to classify real decision influence, build approval gates, create an evidence spine, design human oversight that survives contact with operations, and run a readiness sprint that produces artifacts instead of aspiration.

Inside the book:

  • A practical framework for inventorying consequential workflows and classifying where AI actually affects decisions
  • Guidance for approval gates, evidence logging, human review design, and vendor due diligence
  • A 30-day readiness sprint built around operational outputs teams can actually produce

If your organization is already running AI and needs governance that works in practice, this book is built for that stage.

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