A brand of BritixoShadow AI. Clear accountability.

Industry contexts

Keep public-service decisions accountable.

Public bodies need to explain how AI supports their work and who remains responsible. EUAIC can help organise the records connecting a system's purpose, supplier evidence, review decisions and operational oversight.

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

Start with the public-service function.

Describe the service, the decision being supported and the people affected. Distinguish internal administrative assistance from tools influencing eligibility, priority or access to important services. Annex III identifies specified public-service use cases; the public-sector label alone does not classify every tool.

Record the responsible body and any supplier or partner operating part of the process. Accountability becomes harder to explain when those boundaries remain implicit.

Make evidence requirements part of the conversation.

Before procurement or expansion, identify the information reviewers will need: intended purpose, limitations, data handling, oversight arrangements and change notices. Ask how the supplier will support an investigation or provide current documentation when the service changes.

Keep evaluation evidence and contractual commitments connected to the approved scope. Do not assume that a general supplier statement answers the needs of a specific public-service deployment.

Identify the reviews required for affected people.

Some deployers and use cases fall within Article 27 fundamental-rights impact assessment requirements. Determine applicability through the responsible legal and governance teams, and coordinate relevant privacy assessments without treating them as interchangeable.

A practical record should identify groups affected, possible harms, available review or complaint routes and the people authorised to respond. Make important assumptions and unanswered questions visible to the decision-makers.

Build a record that supports accountable review.

An EUAIC engagement can define the inventory, supplier evidence index and approval workflow for a bounded service. Include the record of public-facing information, registration questions where relevant and the review schedule. Separate information suitable for publication from material requiring restricted access.

  • Service purpose and responsible-body map.
  • Evidence requests and supplier commitments.
  • Impact, oversight and escalation records.
  • Decisions, open conditions and change history.

Sources & further reading

Useful answers

Before you take the next step.

Practical details to help you discuss your requirements.

Does every public-sector AI use need the same impact assessment?

No. Applicability depends on the system, role and legal criteria. Identify the required assessments with competent reviewers and record the rationale.

Should every governance document be published?

No. Transparency and accountability need to be balanced with applicable privacy, security and confidentiality requirements. Determine the correct disclosure route for each record.

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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