AI governance

AI has entered the business. Governance needs to catch up.

Employees can now introduce a new AI service into a business in minutes.

No procurement exercise. No IT deployment. Sometimes no one else even knows it's being used.

AI governance provides the visibility and guardrails required to use these technologies responsibly.

The questions organisations need to answer

What AI tools are being used?
Who is using them?
What information is going into them?
Where is that information processed?
Is it retained or used for model training?
Do our client contracts permit it?
Which tools are approved?
Who is accountable for AI risk?

What AI governance covers

AI Discovery

Identify AI services across the organisation.

AI Register

A record of the tool, supplier, business owner, users, purpose, information processed, risk classification and approval status.

AI Risk Assessment

Confidential data, personal data, intellectual property, accuracy, human oversight, supplier terms, model training, retention and regulatory considerations.

AI Policy

Define acceptable and prohibited usage clearly.

Approved AI

Help organisations choose appropriate enterprise AI services rather than attempting to prohibit AI completely.

Continuous AI Monitoring

Where appropriate, introduce technology capable of identifying shadow AI usage and sensitive information moving into AI services.

Governance Framework

Align governance where appropriate with ISO/IEC 42001, the NIST AI Risk Management Framework, and applicable UK and EU regulatory requirements.

Talk to us about AI governance

You do not need a finished policy to start. You need a clear picture of which tools are already in use, and what they can see.

Talk to us about AI governance