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 strategic execution asset 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 your team 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