Direct Answer

An AI governance framework sets out who owns AI decisions, which uses are allowed, how data is handled, how risk is assessed, and how AI systems are reviewed over time. For a mid-market firm it should fit on a few pages and be applied to every new AI use case.

Key Takeaways

The Six-Part Template

How to Introduce It

Where to Start

Governance works best alongside a readiness assessment, because it shows where risk and opportunity actually sit. See our AI readiness assessment and AI operating model pages.

Frequently Asked Questions

Do mid-market firms need AI governance?

How long should an AI policy be?

Who should own AI governance?

Related services

Turn the ideas in this article into outcomes with these connected service tracks.

AI Readiness AssessmentFind where AI fits and where risk sits.Explore

AI Operating ModelGovernance and structure for AI at scale.Explore

AI Transformation for LeadershipExecutive guidance on AI adoption.Explore

Related reading

Explore more practical guidance from Elevate AI Tech:

Conclusion

Good AI governance is proportionate. It speeds up low-risk adoption and puts the right checks on high-risk use, so leadership can say yes with confidence.

If you want a governance framework that fits how your business actually works, talk to Elevate AI Tech.

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About the author

Sam Sharma

Written by Sam Sharma, founder of Elevate AI Tech. Sam helps businesses use AI, automation, custom software and AI search visibility strategies to remove inefficiencies, improve decision-making and build practical systems for growth.

Want to explore how AI can improve your business operations? Book a consultation with Elevate AI Tech.