AI Risk Assessment

A clear blueprint your leaders can actually act on.

AI adoption is moving faster than your policies, controls, or workflows can keep up. The result: hidden data exposures, unapproved tools, unclear accountability. Our structured assessment turns chaos into a roadmap.

Our approach

Four phases. Three to six weeks.

1. Discover

Inventory every AI system, vendor, model, and shadow tool actually in use across the org.

2. Classify

Risk-rank each system by data sensitivity, autonomy, business criticality, and external exposure.

3. Assess

Run structured 1:1 framework checks (NIST AI RMF, ISO 42001, EU AI Act, OWASP LLM) against the inventory.

4. Roadmap

Deliver prioritized remediation, control gaps, and a 90-day plan ranked by impact and effort.

Deliverables

What you walk away with.

  • AI system inventory (vendor, model, owner, data flow)
  • Risk register with likelihood × impact scoring
  • Control gap analysis mapped to your chosen framework
  • Prioritized 90-day remediation roadmap
  • Executive readout deck for the board
  • Optional handoff into AIRA for ongoing program management

Powered by AIRA

Assessment runs inside the AIRA platform. You keep the data, the inventory, and the program after the engagement ends.

Best for

Companies with AI in production, no dedicated AI risk owner, and an upcoming audit, board ask, or M&A diligence event.

Get a clear picture of your AI risk.

A structured assessment delivers a roadmap your leaders can act on, fast.