Topic

AI governance

Practical governance for AI adoption in regulated environments, including intake, model risk, human control, evaluation, and evidence.

Articles

Executive essays

2026-04-18 / 1 min

Regulated AI governance should accelerate the right use cases

A practical model for making AI adoption useful, inspectable, and controlled in financial services and other regulated enterprises.

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Case studies

Applied proof

2026-04-15 / case study

AI governance working group operating model

A case study on creating practical AI governance rhythms for use-case intake, executive oversight, and regulated adoption.

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Advisory

Relevant offers

Executive data and AI strategy review

A focused review of whether the data estate, governance model, AI agenda, and reporting stack can support the next commercial or regulatory objective.

Regulatory data confidence programme

A structured path from weak evidence and inconsistent metrics to inspectable controls, stewardship, lineage, and data quality management.

Speaking

Relevant topics

AI governance without theatre

A practical operating model for use-case intake, model risk, human control, evaluation, and executive confidence in regulated environments.

The hands-on executive in the age of agentic systems

Why senior data and AI leaders need enough technical depth to govern architecture, vendors, and AI claims with credibility.

Live decision

Apply ai governance to a current mandate.

Use the contact route when the topic has become a board, regulator, platform, or operating-model decision.

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