An AI vendor evaluation scores prospective AI vendors/models on capability, data and security posture, responsible-AI practices, commercials, and lock-in, so selection is evidence-based. This is the AI Vendor Evaluation from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for AI vendor evaluation, and it walks through everything from model quality and performance assessment to commercials, pricing and total cost of ownership. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.
What this asset covers
This is a preview of the full deliverable. Inside the Stratenity Library, this asset walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- Evaluation Scope and Requirements Definition
- Weighted Scoring Criteria and Rubric
- Model Quality and Performance Assessment
- Data, Security and Privacy Due Diligence
- Compliance and Responsible-AI Posture
- Integration and Architecture Fit
- Commercials, Pricing and Total Cost of Ownership
- Reference Checks and Proof of Concept
- Vendor Risk and Lock-in Assessment
- Scoring Roll-up and Recommendation
- Contracting, SLAs and Award Conditions
- Risks, Assumptions, Issues and Dependencies (RAID)
- Post-selection Onboarding and Governance
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this asset in full, download it, and activate it into a governed, client-ready deliverable in 48 hours rather than weeks. Each asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend.
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