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Services / AI Transformation

AI Governance & Risk

Usage policies, data classification, access controls, evaluation standards and audit requirements for organisations deploying AI — practical enough to be followed.

What this service includes

  • 01

    AI usage policy

  • 02

    Data classification and handling rules

  • 03

    Model and vendor evaluation criteria

  • 04

    Human-in-the-loop standards

  • 05

    Audit trail and monitoring requirements

  • 06

    Governance cadence

Challenges we specialize in

Shadow AI

Staff using tools nobody approved.

Regulated data

Personal, financial or health data in prompts.

Accountability

Who is responsible for an AI-assisted decision.

Vendor risk

Evaluating AI suppliers consistently.

How a project runs

01

Readiness assessment

Five-level maturity map, data and process review, prioritised use cases.

02

Pilot design

Scope, data set, owners, guardrails and acceptance criteria.

03

Build & verify

Run in parallel with the current process; measure quality and time.

04

Scale & govern

Roll out with training, monitoring and a governance cadence.

Who this is for

  • Boards and compliance leads
  • IT and security
  • Regulated organisations

Deliverables

  • Readiness assessment and use-case backlog
  • Pilot with measured results
  • Deployed assistant / automation with audit trail
  • Training and governance playbook

A sample of our work

Related services

Industries we work with

FAQ

Is this legal advice?

No — it is operational governance; we coordinate with your legal counsel.

How long?

3–4 weeks for a policy set; ongoing as a governance retainer.

Does it slow projects down?

It makes them approvable — pilots with clear guardrails move faster.

Can you audit an existing deployment?

Yes.

Start with the hard part

Bring us the problem nobody on your team has time to own. We will scope it, price it and start with a pilot you can measure.

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