AI Vendor Selection Framework
Compare AI vendors consistently with a framework built for enterprise requirements, governance, and execution.
1. Define Mandatory Requirements
- Supported use cases and task performance boundaries.
- Deployment model and data control requirements.
- Identity, access, and logging expectations.
- Integration requirements for your stack.
2. Shortlist with Elimination Criteria
Filter out vendors that cannot meet mandatory controls before running deeper evaluations.
3. Score with Weighted Dimensions
Capability Fit
Use-case relevance and output quality.
Security Posture
Data handling, controls, and architecture clarity.
Governance Support
Policy controls, auditability, and oversight tooling.
Operational Fit
Implementation readiness and scaling support.
Commercial Terms
Pricing predictability and contractual flexibility.
4. Run Proof-of-Value Testing
- Use representative datasets and scenarios.
- Evaluate output quality and consistency.
- Document failure modes and mitigation options.
- Measure operational effort for deployment and support.
5. Final Due Diligence
- Security and compliance review.
- Data processing and retention review.
- Roadmap and support model review.
- Contract and procurement review.