AI governance & controls/ 11

More possibility. Clear boundaries.

We organise the technical and working rules around AI - who has access, which data is used and who reviews important decisions.

Let’s discuss your projectSee how we build it
EXAMPLE WORKFLOWR / SYSTEMS
  1. Who and whatRoles, sources, data
    01
  2. A controlled actionBoundaries and approval
    02
  3. A traceable resultHistory, review, response
    03
Clear access. Verifiable actions.

Clear boundaries for useful tools.

Under the surface
01 / 03

Understand how AI is already being used.

We map tools, data and workflows, then review existing roles and rules. We identify missing ownership, traceability or clear usage boundaries.

A use-case register and identified gaps

What we do

For teams already using AI or preparing a rollout that need clear responsibility, visibility and control.

  • Internal AI usage rules
  • Controlling agent actions
  • Reviewing access and traceability
  1. 01

    Map current use

    We document AI tools, owners, data types and connected workflows.

  2. 02

    Access and permitted actions

    We separate roles, limit permissions and define when human approval is required.

  3. 03

    Traceability and tests

    We plan action histories, configuration versions and test cases for errors and inappropriate instructions.

  4. 04

    Working rules and response

    We document change handling, stopping automation and investigating problems. Legal assessment is a separate specialist engagement.

What you receive

  • An inventory of AI use and responsibilities
  • An access and approval matrix
  • Agreed technical controls
  • A change and incident procedure

We agree on features, timing and scope before starting. Support and future releases are arranged for each project.

  1. 01

    Map where and how AI is used.

  2. 02

    Agree on ownership and boundaries.

  3. 03

    Implement controls and test scenarios.

The details that hold everything together.

01

Access

Roles, approved tools and data usage boundaries.

02

Approvals

Clear human decision points for significant actions.

03

Traceability

History, owners and a procedure for issues or changes.

What should we start with?

Start with your AI tools, data categories and any internal rules already in place.

Good questions. Clear answers.

Is this a legal audit?

No. The scope is technical and organisational. We do not promise certification or automatic regulatory compliance. Legal requirements and documents need review by a qualified specialist.

Can you work with an existing AI deployment?

Yes, after reviewing architecture, access and available logs. We identify controls that can be added and document limitations.

Will this remove every risk?

No one can guarantee the absence of errors or misuse. The aim is limited access, clear approvals, monitoring and a workable response plan.

Who is in control of your AI workflows today?

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