One of the goals of this newsletter has always been to move beyond discussing AI governance and start building practical tools that help organizations implement it.
Over the past several months, I’ve been working on resources designed to make AI governance more operational, more defensible, and easier to implement.
Today, I’m excited to share the first two.
1. 5-Minute Enterprise AI Governance Assessment
Wondering how mature your organization’s AI governance program really is?
The new 5-Minute Enterprise AI Governance Assessment evaluates key capabilities across areas such as governance, AI inventory, classification, documentation, accountability, and operating model.
After completing the assessment, you’ll receive:
An overall AI Governance Score
Category-by-category maturity ratings
A downloadable PDF report highlighting strengths and gaps
The option to request a discovery call to discuss your results and explore practical next steps
👉 Take the assessment:
https://assessment.aigovernancebriefing.com
2. Enterprise AI System Inventory (Private Beta)
Knowing which AI systems exist is only the beginning.
Effective governance requires organizations to understand ownership, intended purpose, data usage, classification rationale, supporting evidence, review history, and ongoing accountability.
The Enterprise AI System Inventory has been designed around the governance frameworks I’ve been researching and developing—not simply as another spreadsheet, but as a practical foundation for defensible AI governance.
The inventory is now available in private beta.
During this phase, access will be granted selectively while I work with early users to refine the experience, validate workflows, and prioritize new capabilities based on real enterprise feedback.
👉 Request Beta Access:
https://inventory.aigovernancebriefing.com
What’s Next?
These are just the first tools.
I’m also exploring additional resources that could help organizations operationalize AI governance, including:
AI governance operating model templates
High-risk AI classification decision frameworks
AI policy libraries
Governance maturity benchmarking
Executive and board reporting dashboards
Documentation and evidence templates
I’d love your feedback.
Which tools would be most valuable to you or your organization?
Simply reply to this email and let me know:
What AI governance challenge are you trying to solve?
What resource would save your team the most time?
What would you like to see built next?
My objective isn’t simply to raise awareness about AI governance.
It’s to help organizations deploy AI confidently with governance that is practical, auditable, traceable, and adaptable to the regulatory and legal requirements of the jurisdictions in which they operate.
As always, thank you for reading and for helping shape what’s built next.