Services  /  AI Governance

AI Governance

Assess your governance, make the changes that matter, and check it regularly, so it holds up as AI use grows.

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What you get

Governance that holds up as AI use grows

A

Governance assessment

How your organisation compares with recognised good practice, and with what regulators and clients expect.

B

Change and adoption

The policies, named owners, impact assessments and vendor controls that close the gaps, and the training and rollout that make them stick.

C

Health checks and incident support

Regular checks that what is live matches what is documented, and help when an incident occurs.

How it works

Three steps to governance you can show

  1. Assess

    We benchmark your organisation against recognised good practice, and set out the gaps.

    • Foundations: principles, roles, accountability and staff awareness
    • Laws and standards: what applies to you, and how it compares with frameworks such as NIST AI RMF and ISO/IEC 42001
    • Development: how AI is designed, built, trained and tested, if you build it
    • Deployment and use: how AI is selected, bought, deployed and monitored

  2. Change

    We help you put the policies, roles and processes in place, and make sure they are adopted, starting with what matters most.

    • Policies across the AI life cycle, and updates to existing privacy, security and data policies
    • Named responsible owners for each AI system, and a cross-functional group that oversees AI governance
    • Impact assessment and approval steps for new AI use cases
    • Vendor and procurement controls for third-party AI
    • An incident response plan, including a way to switch off a system that is not performing
    • Adoption: training, communication and rollout so people follow the new processes

  3. Check

    We review regularly and support you when things go wrong, adjusting as AI use and expectations change.

    • Governance health checks: what is live compared with what is documented, with any drift flagged
    • Ongoing monitoring and scheduled reviews of how AI performs
    • Periodic audits and testing for performance, safety and security
    • Incident support: help to respond, document and learn when something goes wrong
    • Updates for new laws, standards and uses of AI
What comes next

Where this leads

01

Strategy & Advisory

Find where AI creates value for you, and get clear recommendations on what to do first.
02

Solutions & Development

Build and implement the AI solutions that come out of an assessment or a brief.
Related insights

Further reading

Ethics, Community & Social

The AI Consent Gap: What US Health System Lawsuits Tell Every Client-Facing Business
Ethics, Community & Social

AI Governance Lessons From Social Media’s Mistakes

What to do next

Not sure where your governance gaps are?

Start with an assessment. Send a short enquiry and we will reply within two business days.

Make an enquiry