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Lightweight AI governance for small and mid-size organisations

By TechlyUpUpdated 2 min readLeaders in small and mid-size organisations

Quick answer

Lightweight AI governance needs four things: an inventory of where AI is used, a named owner for each use, simple risk tiers that decide how much review each use needs, and a regular review meeting. This gives oversight without bureaucracy and scales as AI use grows.

Keep an inventory

A simple shared sheet is enough.

Use | Team | Tool | Data involved | Owner | Risk tier | Last reviewed

Assign owners

Each AI use needs a person accountable for its quality, data handling, and issues.

Use risk tiers

Three tiers are usually enough.

  1. Tier 1 (low): internal drafting and summarising — basic policy applies.
  2. Tier 2 (medium): customer-facing content or confidential data — review and approval.
  3. Tier 3 (high): decisions about people, money, or regulated matters — formal assessment and ongoing monitoring.

Review routinely

A quarterly meeting to review the inventory, incidents, and new requests keeps governance alive.

Governance mistakes

Governance fails when it's too heavy or too light.

  1. Copying a large enterprise framework that no one follows.
  2. An inventory that is never updated.
  3. No owner for each AI use.
  4. Reviews only after incidents.

Quarterly review agenda

Keep it to under an hour.

1. New AI uses since last review (add to inventory)
2. Any incidents or near-misses
3. Tier changes needed
4. Policy updates
5. Requests for new tools
6. Actions and owners

Try it yourself

Start your AI inventory with every use you know about, including informal ones, and assign tentative tiers.

Frequently asked questions

Is AI governance only for large companies?

No — small organisations benefit from simple, proportionate governance.

Who should run AI governance?

A leader with authority, supported by IT/security, legal/compliance, and business owners.

How does this relate to data protection?

AI governance should align with your data protection practices and obligations.

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Sources and further reading

Examples are authored practice material, not measured learner outcomes. Tool behavior can change. Found an error? Contact TechlyUp with the page URL and correction.

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