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Services

AI Governance & Responsible AI

We help organisations put governance around AI: how it is selected, implemented, used and monitored, and who is accountable for it at each stage.

What this covers

  • Inventory of AI use and classification by risk
  • AI governance policy and lines of accountability
  • Responsible AI principles turned into working controls
  • AI risk and impact assessment
  • Supplier and model due diligence
  • Alignment with ISO/IEC 42001 and the NIST AI RMF
  • Monitoring, incident and change processes
  • Data protection considerations in AI use

How we work on this

The same five steps apply to every service, applied here to this work.

  1. Assess

    Find out where AI is already used or planned across the organisation.

  2. Identify

    Identify the risks, obligations and gaps in oversight for each use.

  3. Design

    Design policy, approval routes and controls proportionate to the risk.

  4. Implement

    Help teams apply the controls when they select and deploy AI.

  5. Monitor & Improve

    Monitor use and revisit governance as the technology and rules develop.

Who it's for

Discuss your AI governance requirements

Tell us what you are working towards and we will advise on where to start.