Guides & Ebooks

The Practical AI Governance Guide

Your CIO is racing to scale AI. Your CISO won't sign off without controls. Your legal team is bracing for the EU AI Act. This guide turns AI governance from theory into a working operating model.

The field manual for operationalizing Trusted AI without slowing innovation down. Inside:

  • A business-grade definition of AI governance
  • The 3-stage operating model: setup, intake, ongoing oversight
  • Clear ownership across legal, IT, data science, and business teams
  • How to align governance with the stack you already run

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Sneak Peak

A look inside the field manual the teams operationalizing Trusted AI are quietly using

What's Inside

Everything you need to stand up AI governance — from your first policy to full lifecycle oversight.

1.

What AI Governance Really Means

  • A clear definition of AI governance and why it matters
  • How it helps reduce risk, support compliance, and drive better decisions
2.

How to Put AI Governance in Place

  • Ways to adapt your current tools and workflows
  • Tips for aligning governance with your tech and business teams
3.

Who Owns AI Governance

  • How to define roles and responsibilities
  • Building a culture of accountability and ethical AI use
4.

The 3 Stages of Effective AI Governance

  • Organizational Setup: Policies, frameworks, and team structure
  • AI Intake: Assessing new AI for risk and compliance
  • Ongoing Oversight: Monitoring, gathering evidence, and managing change

Stop governing AI in spreadsheets

Get the practical playbook Fortune 500 leaders are using to move from fragmented reviews to a unified governance program that scales with their AI — agents, models, and applications included. Download the guide and build the foundation your AI strategy depends on

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