AI Regulatory Readiness
- Classification checklist (Prohibited / High / Limited / Minimal)
- Gap scorecard vs. EU AI Act requirements
- Framework mapping: ISO 42001, NIST AI RMF, GDPR, SOC 2
- Executive summary template
RiskTraceAI helps organizations safely accelerate AI adoption by applying the governance, risk, and security assessment methodologies used by leading enterprise advisory firms — giving security and compliance leaders the visibility, accountability, and controls to manage AI risk without slowing innovation.
Transform AI Risk Into Business Enablement
RiskTraceAI helps organizations move from fragmented AI adoption to a proactive governance operating model — giving executives visibility, security teams actionable controls, and compliance teams evidence-based assurance.
Assess the risk of any AI system in under 30 minutes using the same structured methodology enterprise governance consultants use. Each solution includes a scoring model, treatment plan, and executive summary, mapped to ISO 42001, NIST AI RMF, EU AI Act, and OWASP LLM Top 10.
Each scenario maps to a primary solution — and often a secondary one — so you can see exactly what to deploy first.
Microsoft 365 Copilot rollout
ChatGPT Enterprise adoption
AI procurement (Copilot / Claude / Gemini)
Internal chatbot onboarding
Board asks for our AI governance maturity
HR resume-screening AI
Security review of an AI agent
AI incident — data uploaded to ChatGPT
Building an AI Center of Excellence
AI due diligence during M&A
Preparing for an EU AI Act compliance audit
New GenAI vendor requests access to production data
One rubric, mapped once, referenced everywhere — so you never re-justify the same control to three different auditors.
| Solution Area | ISO 42001 | NIST AI RMF | EU AI Act | OWASP LLM Top 10 |
|---|---|---|---|---|
| AI Inventory | Full | Govern / Map | Article 9 | — |
| AI Risk Register | Clause 6 | Measure | Risk Mgmt | LLM09 |
| AI Vendor Assessment | Clause 8 | Govern | Provider Obligations | LLM03 |
| AI Governance Charter | Clause 5 | Govern | Governance | — |
| AI Model Assessment | Clause 8 | Measure | High Risk | LLM04 |
| Responsible AI Scorecard | Clause 9 | Measure | Human Oversight | LLM09 |
| AI Incident Response | Clause 10 | Manage | Incident Reporting | LLM01, LLM02 |
| AI Use Case Assessment | Clause 6 | Map | Classification | LLM06 |
Stakeholder interviews and environment mapping to surface what AI is actually running — sanctioned and shadow — and who owns it.
Apply the AIRA rubric — likelihood × impact across data, model, and operational dimensions — to every system in the inventory.
Produce the governance artifacts: registers, policies, scorecards, and playbooks — structured for audit, not optics.
Embed the program into quarterly cycles: new use case intake, vendor reviews, risk register refresh, and board reporting cadence.
RiskTraceAI is an AI governance and risk advisory practice built for enterprise security, risk, and compliance leaders. We help organizations stand up scalable AI governance operating models — translating regulatory requirements and industry frameworks into practical controls, without a lengthy implementation cycle or a dedicated data science function.
Every recommendation is mapped to a recognized framework — EU AI Act, NIST AI RMF, ISO 42001 — and every risk rating is defensible and reproducible for audit and board-level reporting.
CertificationsFor teams that need more than a self-serve solution. Tell us about your environment and we'll map your AI governance gaps and give you a prioritized action list.