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AI governance and security

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AI governance and security

Clear boundaries for every AI action.

Plan how agents access information, use tools and escalate sensitive decisions, with controls and responsibilities that fit the proposed deployment.

At a glance

  • Agent permissions and boundaries
  • Data handling requirements
  • Human approval and escalation
  • Technical review and documentation

Scope and pricing are agreed after discovery.

An example in practice

An agent can explain an account’s status, while refunds or contractual exceptions go to an authorised team member.

Illustrative workflow. Available actions depend on the agreed implementation and connected systems.

How we work

  1. 1

    Identify sensitive data, actions and operational risks.

  2. 2

    Define access boundaries and the actions requiring human approval.

  3. 3

    Review logging, retention and integration controls in the agreed scope.

  4. 4

    Document responsibilities and issues for specialist review where needed.

What you receive

An agreed controls checklist, escalation rules and documented review findings.

Usage, licences and ongoing support are quoted separately where applicable.

No certification is implied. Legal advice, independent assurance and specialist audits need a separately agreed qualified provider.

Common questions

How is a service priced?
We agree a quotation after reviewing the required workflows, systems and support. Recurring usage or third-party charges are identified in the scope.
How long does it take?
The schedule depends on complexity, access to your systems and testing requirements. Milestones are agreed before implementation.
What do you need from us?
A project contact, the relevant business information and access to the systems included in the agreed scope.