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RIXA package

AI Governance Quick Scan

For teams using AI tools, copilots, automations or AI-enabled workflows without a clear governance and evidence structure.

Problem

Why this matters

Unmanaged AI use creates weak ownership, unclear review controls, poor evidence and avoidable management questions.

Outcome

What RIXA delivers

A compact AI governance evidence pack with inventory logic, risk signals, evidence gaps and a 30 / 60 / 90 action plan.

What the client receives

Concrete deliverables

AI use-case inventory structure
Governance gap list
Evidence request tracker
Risk and owner-role view
30 / 60 / 90 action plan

Business risk

Consequences of leaving it unresolved

Shadow AI and undocumented tools
No clear human review trail
Weak AI policy evidence
Unclear owner/accountability model

Process

How the sprint works

01
Scope current AI use and business context

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

02
Map use cases, owners and review needs

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

03
Identify evidence gaps and risk signals

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

04
Create management-ready action plan

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

Not a legal opinion
Not a compliance certification
Not a substitute for internal ownership or approval

FAQ

Is this a formal opinion?

No. It is evidence-readiness and governance support.

Do we need a full AI inventory first?

No. RIXA can help structure the first inventory view.

Next step

Start with a narrow evidence question.

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