A brand of BritixoShadow AI. Clear accountability.

Company & support

Trust starts with evidence and clear responsibilities.

AI governance records may contain confidential supplier material, personal information and sensitive assessment findings. Security expectations should be defined before those records are collected, connected or shared.

AI governance, in practice
DiscoverUnderstand the AI in use
ReviewConsider purpose and risk
GovernAssign owners and oversight
EvidenceKeep the decisions traceable
Illustrative workflow People remain accountable

Agree what information belongs in the service.

Begin with a data map: the records you intend to hold, their owners, their sensitivity and the people who need access. An inventory entry usually needs a useful description of a system, not a copy of every prompt, customer file or production dataset. Keep the purpose of collection specific and use references where full copies are unnecessary.

During scoping, identify retention expectations, permitted locations and any contractual restrictions on supplier documents. These decisions shape the implementation requirements.

Make access and approval authority explicit.

Separate the person supplying evidence from the person deciding whether it is sufficient. Define who may view sensitive material, change a classification, accept an exception or close an action. Include joiner, mover and leaver responsibilities so access remains appropriate when people change roles.

Ask how changes and review decisions will be recorded, how access will be checked and what evidence will be available to your assurance team. These controls must be agreed for the actual deployment.

Request evidence that matches the proposed service.

Security due diligence should cover the complete arrangement, including application configuration, hosting, support access and any connected services. Request the applicable service specification and security information rather than assuming that a general technology statement describes every delivery option.

  • Confirm the hosting and data-processing arrangements for your scope.
  • Identify supplier and sub-processor responsibilities.
  • Agree incident contacts, escalation and communications.
  • Document recovery, retention, deletion and exit requirements.

Keep public enquiries separate from sensitive evidence.

The public enquiry route is for describing your requirements and arranging the next step. Do not submit passwords, access tokens, full customer datasets or confidential assessment packs there. If detailed evidence is needed, agree an appropriate exchange method and authorised recipients first.

Certification status, availability commitments and specific technical controls should be supported by current documentation. EUAIC does not present a generic website statement as proof that a customer's complete AI deployment is secure or compliant.

Useful answers

Before you take the next step.

Practical details to help you discuss your requirements.

Can we request security information before agreeing a project?

Yes. Describe the proposed use, procurement requirements and information needed. The relevant security and service evidence can then be identified for that scope.

Does this page promise a particular hosting region or certification?

No. Hosting, security controls and any applicable assurance evidence must be confirmed in the service documentation for the proposed deployment.

Start with the right questions

Tell us what you need to achieve.

Share your current setup, priorities and intended outcome. The Britixo team will help define the scope, responsibilities and next steps.

Discuss your requirementsBritixo MyAccountVerify your email. Send your enquiry. Keep your reference.

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