Free Whitepaper · 2026 Edition

AI Governance in the Enterprise

A practical framework for governing AI Everywhere it lives — from browsers and IDEs to local models and autonomous agents.

  • 50 pages
  • 10 sections + appendices
  • Self-assessment worksheet
AI Governance in the Enterprise
Inside the Whitepaper

What you'll take away

A shared taxonomy for evaluating your AI footprint at the resolution where risk actually lives — plus a defined maturity path for governing it.

  • How enterprise AI evolved through four waves — and why most orgs are in all four at once
  • The 4-group, 9-category AIBound taxonomy for classifying your full AI footprint
  • Six failure patterns that make governance look mature on paper but weak in practice
  • Four operational pillars: Triage, Approve, Enforce, Monitor
  • A 6 / 12 / 24-month maturity path with concrete milestones
  • How to move from tool inventory to capability inventory as agentic AI arrives

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Table of Contents

Ten sections. One coherent framework.

From the four waves of enterprise AI adoption to a four-stage maturity model your board will understand.

Chapter 1
How AI Has Evolved in the Enterprise
Chapter 2
Where Companies Are Seeing Success
Chapter 3
Where Companies Are Falling Short
Chapter 4
A Framework for the Full AI Ecosystem
Chapter 5
A Maturity Model for AI Governance
Chapter 6
Looking Ahead — Agentic AI & Capability Inventory

"The result is not a single AI problem. It is a structural mismatch between how quickly AI arrives and how the enterprise governs anything new."

From the Executive Summary

Written for the people accountable

Practical guidance for the leaders operationalizing AI risk today.

CISOs & Heads of Security
GRC and Risk Leaders
AI Governance Committees
Enterprise Architects
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