Purpose
A due-diligence and evidence model for third-party AI, copilots, automation platforms and managed AI services.
FRAMEWORK
Vendor AI Assurance Model
A due-diligence and evidence model for third-party AI, copilots, automation platforms and managed AI services.
framework routeevidence-oriented modelhuman review required
Evidence artifacts
Use the model to collect decision records, assumptions, risk boundaries, review checkpoints and operational evidence before relying on the output.
Use limits
This framework supports structured review. It does not replace accountable expert review, certification, regulatory approval or operational sign-off.
RELATED TOOLS
Instruments that operationalize this model.
Open a tool to turn the framework into an evidence checklist, readiness score or decision artifact.
Agentic AI and RAG Security
AI Vendor Assurance Questionnaire Builder
Generates buyer or vendor assurance questions for model APIs, copilots, RAG platforms and agentic workflow vendors.
open instrument → AI AssuranceAssurance Radar
Measures eight AI assurance dimensions and produces a maturity radar with evidence gaps and next artifacts.
open instrument → AI AssuranceAI Control Readiness Review
Checks whether an AI initiative has enough controls, evidence and ownership to proceed toward production.
open instrument → AI AssuranceAI Governance Evidence Mapper
Maps an AI use case to the governance evidence required before approval, release or expansion.
open instrument → AI AssuranceAI System Self-Classifier
Walks through intended use, autonomy, affected persons and context to produce a preliminary AI system classification packet.
open instrument → AI AssuranceEvidence Reactor
Converts AI assurance claims into a Claim to Evidence to Control to Test to Owner review pipeline.
open instrument →