Large Image
Description
Managing AI: Ownership, Governance, and Assurance is a practical leadership playbook for governing AI without bureaucracy or "audit theatre".
Most organisations already have AI in production, embedded in platforms, processes, and supplier service, but it isn't managed like a critical capability. Ownership is unclear. Decisions are distributed. Evidence is patchy. And when scrutiny arrives (from auditors, regulators, boards, or customers), teams struggle to explain what's in use, who is accountable, and how risks are controlled.
This book gives you a simple, repeatable operating model to change that.
You'll learn how to:
•
Make AI visible across services, products, and third-party platforms, that includes "hidden AI" in everyday tools
•
Define real ownership (decision rights, intervention authority, and accountability that holds under pressure)
•
Build a lightweight AI operating model that fits how organisations actually work and not a theoretical framework
•
Govern credibly with practical ethics, guardrails, and measurable controls
•
Introduce AI safely without creating new risk or slowing delivery
•
Assure AI without theatre using evidence that matters, proportionate oversight, and clear lines of escalation
•
Build capability across leaders, managers, and delivery teams so governance works day to day
Written for C-suite leaders, senior managers, risk and security leaders, and delivery teams, this is the foundation volume in the Managing AI series. It includes checklists, evidence prompts, and practical questions you can use immediately, whether you're just starting, scaling, or bringing order to an AI estate that has grown faster than your controls.
If you need AI governance that is explainable, defensible, and workable in the real world, start here.
Tag This Book
This Book Has Been Tagged
Our Recommendation
Notify Me When The Price...
Log In to track this book on eReaderIQ.
Track These Authors
Log In to track Darren Gladden on eReaderIQ.