Everyone is running AI. Almost nobody is governing it.
Kong, F5, Workiva and Snowflake each published AI research in the past two months. Read side by side, they describe the same gap.
TechPulse Research Desk
Toolkit · from Workiva
AI Governance Toolkit
Building AI governance one policy at a time invites gaps—and by the time you find them, the damage is done. A more effective path is to start deliberately, prove value quickly, and scale from there.
- Format
- Toolkit
- Published by
- Workiva
- Category
- Artificial Intelligence
- Added
- 22 Sept 2026
What’s inside
- Five-Step Adoption Guide: A practical path for organizations starting their AI governance journey.
- The AIRS Framework: Four pillars—Accountability, Integrity, Reporting, and Stewardship—for governance that’s auditable and built to scale.
- Self-Assessment Checklist: Identify your current governance gaps across tooling, policy, data, and assurance readiness.
- Stakeholder RACI Matrix: A starter template to assign clear governance ownership across your organization.
About this toolkit
Building AI governance one policy at a time invites gaps—and by the time you find them, the damage is done. A more effective path is to start deliberately, prove value quickly, and scale from there. Workiva’s AI Governance Toolkit gives audit, risk, and compliance leaders three practical tools you can bring directly to your team.
Download the toolkit to access:
- Five-Step Adoption Guide: A practical path for organizations starting their AI governance journey.
- The AIRS Framework: Four pillars—Accountability, Integrity, Reporting, and Stewardship—for governance that’s auditable and built to scale.
- Self-Assessment Checklist: Identify your current governance gaps across tooling, policy, data, and assurance readiness.
- Stakeholder RACI Matrix: A starter template to assign clear governance ownership across your organization.
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