AI Audit as a Service
Full coverage across program and systems
Speed and efficiency without sacrificing rigor
Traceability from requirement to evidence
Engagement Model
We start broad across the organization and go deep where risk is highest.
Organizational AI Impact Assessment
Start broad across your organization
Map AI systems, classify risks, and assess control coverage at the program level. Perfect for getting a comprehensive view of your AI landscape.
Use Cases
Core Deliverables
Risk Heatmap
Visual risk assessment with rationale
Control Coverage Map
Policy conformance and gap analysis
Customized report
Executive-ready report tailored to your organization
Corrective action plan
Prioritized actions with quick wins
AI System Audits
Go deep where risk is highest
Targeted audits of specific AI systems with detailed testing of controls, data quality, fairness, and monitoring. Ideal for high-risk or critical AI applications.
What we cover
Core Deliverables
Control Test Results
Design and operating effectiveness findings
Technical Assessment
Data quality, fairness, and monitoring evaluation
Corrective action plan
Detailed action items with owners and timelines
Evidence Package
Audit-ready workpapers and documentation
Process Steps
Unified seven-phase methodology for both organizational and system-specific audits
Strategic Audit Planning
Main Document Processing
Gap & Inconsistency Identification
Interview Plan Preparation
Evidence Processing (Post-Interview)
Findings Development
Final Report & Mitigation Plan
Our Method
A systematic approach built on recognized standards, comprehensive traceability, and rigorous testing methodology.
Sources for control criteria
Our control criteria are informed by recognized sources. We calibrate to your policies and risk appetite.
- ISO 42001 as a source for management system expectations
- NIST AI RMF 1.0 for risk management practices
- NIST AI 600 series for testing and evaluations where applicable
Traceability and audit-readiness
Everything ties back to criteria and evidence so reviews are fast and defendable.
- Requirement to control to test to evidence traceability matrix
- Workpaper indexing, cross references, and version history
- Prepared by Client tracker with status and owners
- Signed evidence chain and chain of custody where required
- Reusable templates for technical documentation and testing scripts
Quantitative
Data-driven metrics and automated testing for comprehensive AI system evaluation.
- Bias and fairness report with clear pass‑fail metrics
- LLM evaluation suite measuring accuracy, hallucination, safety and bias
- Drift and performance dashboard for ongoing monitoring
- Robustness and security test results, including adversarial probes
Service Packages
Organizational
Comprehensive organizational AI governance assessment and framework setup
- Organizational AI impact assessment
- AI governance framework design
- Policy development and review
- Risk management strategy
- Compliance gap analysis
- Executive summary report
- Governance documentation templates
AI System Specific
Targeted audit for specific AI systems
- Individual AI system audit
- AI system risk assessment
- Technical testing and validation
- AI system-specific documentation
- Corrective action recommendations
- Compliance verification
- Implementation guidance
Organizational + AI Systems
Complete package combining both organizational assessment and system-specific audits
- Full organizational assessment
- Multiple AI system audits as needed
- Integrated governance framework
- Cross-AI system risk analysis
- Comprehensive compliance review
- Dedicated audit team
- Ongoing support and monitoring
- Annual compliance certification