ai-vendor-evaluation

Installation
SKILL.md

AI Vendor Evaluation

Core Workflow

  1. Define use case, buyer, users, data sensitivity, deployment context, budget, integration needs, and risk tier.
  2. Compare vendors by capability fit, data handling, security, governance, admin controls, interoperability, cost, support, maturity, and exit risk.
  3. Separate vendor claims from verified evidence and open questions.
  4. Draft evaluation matrix, procurement questions, and pilot requirements.
  5. Identify legal, security, privacy, finance, procurement, and IT review needs.
  6. Recommend next diligence steps, not final procurement approval.

Safety Rules

Installs
2
GitHub Stars
1
First Seen
May 28, 2026