AI Governance and Risk Toolkit

Put guardrails around AI use before something goes wrong, not after

IN PREPARATION

About this toolkit

A practical Artificial Intelligence toolkit that helps owners and managers use AI with clear purpose, evidence, human oversight and control. Put guardrails around AI use before something goes wrong, not after.

What this toolkit helps you achieve

Employees know what they can't put into an AI tool
Highest-risk use cases get real scrutiny and real safeguards
Someone is accountable, so a person catches mistakes first

What’s included

The Four-Part AI Governance Cycle: Define, Assess, Control, Review
The Five Golden Rules of AI governance, on one page
A plain-English guide to the four pillars AI governance rests on: Policy Definition, Risk Assessment, Safeguards & Controls, Ongoing Review
A worksheet and checklist for logging and controlling AI use cases
A twelve-question coaching bank for the conversation about defining, assessing and reviewing AI use

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Best for

A business owner or manager whose team has started using AI tools, officially or otherwise, and who wants a clear-headed, non-legalistic way to get ahead of the risk before an incident forces the issue.

Expected practical outcome

Define what's allowed in language a non-technical employee can actually follow. Assess each current or planned use case for risk honestly, rather than assuming good intentions are enough. Put real controls around the highest-risk uses, not just a policy statement. Review the whole picture on a set schedule, because both the tools and the ways people use them will keep changing.