Use cases
Where RIXA fits best.
RIXA is strongest when a team has a concrete evidence problem: a client request, a management question, an AI governance gap, a vendor due diligence issue or weak retained proof.
ICT providers, software vendors and service providers
ICT vendor due diligence request
A client asks for DORA, ICT third-party risk, security, resilience or control evidence before onboarding or renewal.
Structure the evidence request, identify missing proof, prepare a findings register and build a client-ready response pack.
Finance, compliance, operations, HR and business teams using AI tools
AI governance first inventory
AI use is happening through copilots, automations or vendor tools, but there is no clear inventory, owner model or review trail.
Create a practical AI use-case structure, owner view, governance gap list, evidence tracker and 30 / 60 / 90 action plan.
Teams preparing internal AI governance and management reporting
EU AI Act readiness discussion
Management needs a practical view of AI roles, use cases, high-risk watch points, documentation gaps and readiness actions.
Prepare role and use-case mapping, preliminary readiness evidence, governance checklist and management action view.
Finance, risk, compliance and operations teams
Internal controls evidence cleanup
Controls exist but proof is spread across folders, email, screenshots, ERP exports or incomplete spreadsheets.
Map controls to evidence, identify weak retained proof, structure a findings register and build a remediation plan.
Leadership, compliance, finance, HR, IT and operations stakeholders
AI governance leadership workshop
The organisation needs alignment on AI use, ownership, risk language, evidence expectations and next actions.
Run a practical workshop that produces decisions, inventory inputs, risk matrix, evidence checklist and action plan.
Small regulated teams, vendors and management teams under simultaneous evidence requests
Multi-module evidence pressure
AI governance, ICT risk, vendor evidence and internal controls questions are converging at the same time.
Create a broader evidence pack with scope note, source register, trackers, findings, management brief and roadmap.
Red flags
Signals that evidence-readiness is weak.
Selection logic
Do not start with a massive programme.
The practical route is to start from one evidence question, one business process, one client request or one AI governance gap. RIXA then turns that narrow problem into a structured pack that can be reviewed, reused and expanded.
Boundary
Use cases are indicative. RIXA supports evidence-readiness and management preparation; it does not provide legal advice, statutory audit assurance, compliance certification or guaranteed regulatory outcomes.