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Leadership26 October 20266 min read

AI transformation governance: how leaders roll out AI without chaos

Teams will adopt AI tools whether or not the organisation has a plan. Governance gives people a safe, clear way to do it, so the good uses spread and the risky ones are caught.

In this post
  1. Start with a simple policy
  2. Assign accountability
  3. Manage risk in proportion
  4. Build capability
  5. Sources and further reading

Start with a simple policy

  • Which tools are approved and for what.
  • What data may and may not be entered.
  • What must be reviewed by a person before use.
  • Who to ask when unsure.

Assign accountability

Name an owner for AI use in the organisation and for each system that makes or informs a decision. Keep a list of where AI is used.

Manage risk in proportion

A drafting assistant and a system that decides on loan applications need different levels of control. Classify uses by impact and apply controls to match.

Build capability

  1. Train people on what the tools do and their failure modes.
  2. Share examples of good use.
  3. Collect incidents and near-misses and learn from them.
  4. Review the policy regularly as tools and rules change.

Sources and further reading

  1. NIST. AI Risk Management Framework (AI RMF 1.0). nist.gov/itl/ai-risk-management-framework.

IICTP is a new independent credential and is not ISO/IEC 17024 accredited.

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