AI Risk Model
Your organisation's AI risks — ranked, explained, and prioritised for your specific profile.
The problem
"Every risk framework gives you a catalogue. This gives you the 7 risks that matter for your organisation."
EU AI Act Article 26 requires deployers to implement appropriate risk management measures. You cannot demonstrate appropriate measures without a documented risk assessment. A generic risk register with "AI" as a single entry is not a defensible response to a regulator.
Problem 1
"The generic top-10 list"
Every published AI risk list covers everything that could go wrong for anyone. It tells you nothing about which risks are highest-priority for your specific maturity, sector, and regulatory exposure.
Problem 2
"The compliance gap you can't see"
Most organisations don't know whether their AI governance documentation meets Article 26 requirements — because they've never mapped their risks against the 13 deployer obligations.
Problem 3
"Governance that's already too late"
AI tools are already deployed. Risks are already materialising. Waiting for a framework before starting assessment is the wrong sequence.
Method
Three phases. One risk stack.
Intake
Client completes a structured intake questionnaire covering AI system inventory, sector context, and current governance maturity. Organisation is assigned to one of 9 risk profiles across maturity tiers (T1/T2/T3) and regulation intensity (Low/Mid/High).
Risk stack build
The 7 highest-priority deployer-side risks are identified for the client's specific profile, drawn from the Quintant Risk Map's 48-risk taxonomy across 6 control zones. Each risk is written in the client's operational context — not as generic descriptions.
Report & delivery
Risk Profile Report delivered: Intake Scorecard, Priority Risk Stack, Recommended Controls Summary, and board-ready executive summary. Walkthrough session included.
Powered by Quintant Risk Map — a proprietary taxonomy of 48 deployer-side risks across 6 control zones, anchored to EU AI Act Article 26.
What you get
Four documents. One package.
- →
Intake Scorecard
Maturity Tier + Regulation Band assignment with rationale. One page.
- →
Priority Risk Stack
Top 7 risks in your operational context — description, manifestation, likelihood/impact rationale, recommended control.
- →
Recommended Controls Summary
Table format. Board-ready. Maps each risk to a specific, actionable control.
- →
Risk Profile Report
Full package — 5–8 pages. Article 26-defensible documentation. Structured as evidence of appropriate risk management.
Who it's for
The decision owner.
Owns regulatory risk. Needs a prioritised risk assessment that demonstrates appropriate measures under Article 26.
Owns compliance. Needs a risk register that maps to the 13 deployer obligations — not a generic AI list.
Owns the technical systems. Needs risk documentation that connects architecture decisions to regulatory obligations.
Regulatory deadline
EU AI Act enforcement — August 2026.
A Risk Profile Report is Article 26-defensible documentation of your risk management. A proposed Digital Omnibus amendment may extend the deadline to December 2027 — but it is not yet adopted. August 2026 remains legally binding.
What comes next
AI Risk Model opens the door.
Compliance Audit
→Annual Article 26 posture verification. Confirm the risks in your Risk Profile Report are still current and under control.
Readiness Sprint
→From AI governance gap to audit-ready compliance. The Risk Profile Report is the natural input to the Sprint's remediation backlog.
KNF Playbook
→For Polish-regulated financial institutions: KNF-specific inspection readiness built on the Risk Model output.
Ready to know which 7 risks matter most for your organisation?
Every engagement starts with a short conversation. No commitment, just specifics.
Let's talk →