AI Governance · Risk Advisory · EU AI Act

Your AI Is Running.
Is It Governed?

CISOs and VP-level leaders use RiskTraceAI to build defensible AI governance programs — from shadow AI inventory to EU AI Act compliance — before auditors, regulators, or incidents force the conversation.

10 Governance deliverables
Aug '26 EU AI Act enforcement
€30M Max non-compliance fine
4 hrs Response SLA
Frameworks Covered
EU AI Act NIST AI RMF ISO 42001 GDPR / CCPA SOC 2 HIPAA DORA OWASP LLM Top 10 FAIR Model MITRE ATLAS
10 Governance Deliverables

From Shadow AI to Board-Level
Governance in 90 Days

Each engagement produces a concrete, auditable artifact — not a slide deck. Stack them in sequence or deploy individually against your most urgent exposure.

01
Foundational

AI Inventory & Shadow AI Risk Assessment

A complete map of every AI tool in your environment — sanctioned and unsanctioned. Vendor, department, data accessed, business owner, risk tier, and approval status, built from stakeholder interviews. No technical tooling required.

  • AI system registry (spreadsheet + Notion tracker)
  • Shadow AI exposure report by department
  • Risk tier classification per system
  • Remediation priority queue
02
Recurring

AI Use Case Risk Assessment

Per-project intake form with a risk-scoring matrix covering data sensitivity, harm potential, regulatory exposure, autonomy level, vendor risk, and reversibility. Assigns a risk tier and approval recommendation for every new AI initiative.

  • Intake form template (reusable per use case)
  • 6-dimension risk scoring matrix
  • Tier assignment: Low / Medium / High / Prohibited
  • Approval workflow recommendation
03
Foundational

AI Risk Register (AIRA)

Likelihood × impact scoring matrix covering data risk, model risk, and operational risk — fed directly by your AI inventory. The same rubric applied consistently across every system, every quarter.

  • AIRA scoring matrix (data, model, operational risk)
  • Risk heat map by business unit
  • Quarterly review protocol
  • Board-ready risk summary format
04
Recurring

Third-Party AI Vendor Risk Assessment

Standardized vendor questionnaire covering data handling, training data usage, security certifications, and contract terms — plus a scoring rubric that produces a defensible vendor risk rating for procurement and legal teams.

  • Vendor questionnaire (40-point standard)
  • Scoring rubric and risk tier output
  • Contract clause checklist (data, IP, breach notification)
  • Ongoing monitoring framework
05
Strategic

AI Governance Program Charter & Policy Library

Charter skeleton defining purpose, scope, roles, committee structure, and escalation path — plus a policy index covering acceptable use, model deployment, data handling, and incident response. Facilitation-heavy, not build-heavy.

  • Governance charter (purpose, scope, RACI)
  • AI committee structure and cadence
  • Policy library index (6 core policies)
  • Escalation and exception management path
07
Regulated Industries

AI Model Risk Assessment

Model card review plus accuracy, drift, and explainability checklist — documentation review, not technical model validation. Purpose-built for regulated-industry clients already familiar with model risk management frameworks (SR 11-7, OCC guidance).

  • Model card review and gap analysis
  • Accuracy / drift / explainability checklist
  • Documentation completeness scorecard
  • Regulatory alignment mapping (SR 11-7, OCC)
08
Strategic

Responsible AI Scorecard

Process and documentation audit covering bias review, explainability, human oversight, and accountability ownership. Stays sellable and credible without a data science team — focused on governance and process, not algorithm tuning.

  • Bias review process audit
  • Explainability and transparency assessment
  • Human oversight mapping per system
  • Accountability ownership matrix
09
Strategic

AI Governance Dashboard

Notion or Airtable rollup visualizing your AI inventory and risk register for executive audiences. Assembled, not coded — a reusable structure deployable across every client environment with zero engineering overhead.

  • Executive dashboard template (Notion / Airtable)
  • Risk register visualization
  • Policy compliance tracking
  • Monthly governance reporting cadence
10
Incident Readiness

AI Incident Response Plan

IT incident response template adapted with AI-specific triggers — model failure, hallucination-driven harm, data leakage, and agent malfunction. Defines detection, containment, notification, and post-incident review protocols.

  • AI-specific trigger taxonomy
  • Detection and escalation runbooks
  • Containment and rollback procedures
  • Regulatory notification decision tree
How We Work

Governance That Produces
Artifacts, Not Presentations

01

Discover

Stakeholder interviews and environment mapping to surface what AI is actually running — sanctioned and shadow — and who owns it.

02

Score

Apply the AIRA rubric — likelihood × impact across data, model, and operational dimensions — to every system in the inventory.

03

Build

Produce the governance artifacts: registers, policies, scorecards, and playbooks — structured for audit, not optics.

04

Sustain

Embed the program into quarterly cycles: new use case intake, vendor reviews, risk register refresh, and board reporting cadence.

Enforcement: August 2026

The EU AI Act Is Not Optional.

Organizations using AI systems in any EU-facing context — even US-headquartered companies — face fines up to €30M or 6% of global annual turnover for non-compliance with high-risk requirements. The classification and gap assessment work takes 6–12 weeks. Most organizations haven't started.

Prohibited Social scoring, subliminal manipulation, real-time biometric surveillance
High-Risk Credit, employment, education, critical infrastructure, law enforcement AI
Limited Risk Chatbots, deepfakes, emotion recognition — transparency obligations
Minimal Risk Most AI tools — voluntary code of conduct recommended
Get Your EU AI Act Gap Assessment →
Free Risk Scorer

How Exposed Is Your
AI Program Right Now?

Adjust the sliders to score your current AI governance posture. Results are estimates — book a 30-minute assessment for a precise picture.

10
1100+
40%
NonePervasive
Confidential
PublicRegulated
Ad-hoc
NoneOptimized
Moderate
NonePrimary
Partial
NoneTested
62 Risk Score
Risk Tier ELEVATED
Priority Gap Shadow AI Inventory
Regulatory Urgency EU AI Act — High
Est. Programs Needed 6 of 10
Get Full Risk Briefing →
About

Built for the CISO
Who Can't Wait

RiskTraceAI is an AI governance and risk advisory practice that works with enterprise security leaders to build defensible, audit-ready AI programs — without requiring a data science team or a 12-month implementation cycle.

Our engagements are structured around concrete deliverables: registers, scorecards, charters, and playbooks that live in your environment long after the engagement ends. Every recommendation is tied to a framework (EU AI Act, NIST AI RMF, ISO 42001) and every risk rating is reproducible.

🗂
AI Inventory & Shadow AI System registry, risk tiering, department mapping
⚖️
Regulatory Compliance EU AI Act, GDPR, CCPA, HIPAA, DORA
🤖
Model Risk Management SR 11-7, OCC guidance, model card review
🛡
AI Security OWASP LLM Top 10, MITRE ATLAS, prompt injection
📋
Governance & Policy Charter design, policy library, RACI, escalation paths
📊
Risk Quantification FAIR model, AIRA matrix, board-level reporting
10 Governance deliverables
6 Frameworks mapped
90 Days to full program
Aug '26 EU AI Act deadline
Start Here

Book Your Free
30-Minute Assessment

In 30 minutes, we'll identify your highest-priority AI governance gaps, map your EU AI Act exposure, and give you a prioritized action list — at no cost and no obligation.

hello@risktrace.ai
North America · EU · Remote-First Delivery
4-hour response SLA · Mon–Fri
Why engage now?
  • EU AI Act high-risk requirements active August 2026
  • Shadow AI discovery takes 4–6 weeks — calendar fills fast
  • Board and audit inquiries about AI risk are accelerating

No spam. Response within 4 business hours.