Evaluating third-party AI systems requires rigorous, standardized questionnaires to generate consistent risk scores. However, the process of mapping these questions to a vendor’s broad, scattered, or sometimes non-existent documentation is a massive manual bottleneck.
This webinar introduces Pacific AI’s capability to automate this due diligence workflow. We will demonstrate how the Governor acts as an intelligent auditor, ingesting scattered resources – from marketing websites and technical documentation to complex SOWs and legal contracts – to automatically populate your vendor risk assessment questionnaires. This solves the “evidence gap” by:
- Automating Questionnaire Completion: Using LLMs to extract relevant answers from unstructured vendor documents, maintaining the rigor of quantitative scoring (0-100) without the manual data entry.
- Evidence Scavenging: Intelligently searching through extensive external documentation (such as cloud provider guides) to find the specific proofs required for compliance.
- Gap Analysis: Clearly distinguishing between “low risk” and “insufficient information,” flagging exactly which documents or evidence are missing so procurement teams can demand the right answers before signing.
Join us to learn how to operationalize vendor risk management that is both efficient and audit-ready, turning a weeks-long review process into a data-driven assessment.
