What we review
Our AI audit is a practical assessment of governance, performance, and stakeholder impact.
Model risk
Bias, drift, explainability, and the operational conditions that impact outcomes.
Data readiness
Lineage, quality, consent, and retention practices for training and production data.
Governance
Policies, documentation, and accountability structures for responsible AI use.
Security & compliance
Access controls, vendor risk, regulatory alignment, and audit evidence.
Audit deliverables
- Risk register with severity ratings and mitigation plans.
- Compliance map aligned to your regulatory environment.
- Operational readiness scorecard and prioritized recommendations.
- Executive briefing deck for boards and stakeholders.
Timeline
Most audits are completed in 3-6 weeks depending on scope and data availability.
We start with a discovery session, review documentation, conduct stakeholder interviews, and share an interim risk snapshot before delivering final recommendations.