AI Vendor & Acquisition Governance Reviews
Assess the governance evidence behind an AI vendor or product, including data use, performance claims, human controls, monitoring, model changes, portability, dependency, and unresolved risk.
Focused review. Practical output.
Vendor evidence review
Evaluate documentation and evidence supporting performance, risk, and governance claims.
Data and model practices
Review available information about data use, model updates, access, retention, and change management.
Controls and monitoring
Assess human controls, monitoring, incident handling, and transparency mechanisms.
Acquisition decision support
Identify governance questions, safeguards, evidence gaps, and conditions that should inform acquisition decisions.
Clear findings you can use.
Engagement scope is tailored to the decision, risk level, available evidence, and operating environment. Deliverables are designed to support real decisions, not create documentation for its own sake.