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RIXA package

EU AI Act Readiness Review

For teams that need to understand AI use cases, roles, documentation gaps and readiness actions under the EU AI governance landscape.

Problem

Why this matters

AI use is often scattered across teams, vendors and workflows before governance evidence is ready.

Outcome

What RIXA delivers

A readiness pack focused on AI role mapping, use-case classification support, high-risk watchlist and evidence gap matrix.

What the client receives

Concrete deliverables

AI role and use-case map
High-risk watchlist
Evidence gap matrix
AI literacy / governance checklist
Management action plan

Business risk

Consequences of leaving it unresolved

Poor AI use-case visibility
Weak documentation trail
Unclear vendor AI exposure
Management questions without evidence

Process

How the sprint works

01
Define AI scope and business functions

Structured into working notes, evidence fields and client-ready outputs where relevant.

02
Map roles, use cases and vendor exposure

Structured into working notes, evidence fields and client-ready outputs where relevant.

03
Create preliminary readiness and evidence view

Structured into working notes, evidence fields and client-ready outputs where relevant.

04
Prioritise actions for management review

Structured into working notes, evidence fields and client-ready outputs where relevant.

Proof of output

See the structure before you request a review

The example report shows how RIXA structures evidence requests, findings, management view and action plans.

Professional limits

What this package is not

Preliminary readiness support only
No final legal classification decision
No guarantee of regulatory outcome

FAQ

Does RIXA make final classification decisions?

No. RIXA structures readiness evidence and decision inputs.

Can this support AI governance discussions?

Yes, as a practical evidence and action framework.

Next step

Start with a narrow evidence question.

RIXA provides human-reviewed evidence-readiness support with clearly labelled working materials and client-ready outputs.