Vendor Assessment
Score AI vendors across six critical risk categories, compare them side by side, and audit their contracts against the clauses every HR team needs before signing.
Vendor Assessment Scorecard
Rate up to 3 vendors across 6 categories on a 1-5 scale. Each level has a clear descriptor so you know exactly what each score means. The overall risk score updates automatically.
Use this scorecard during your procurement process to objectively compare vendors. A score of 1-2 indicates significant risk that may require contractual mitigation or vendor rejection. A score of 3 is acceptable but should be improved. Scores of 4-5 represent strong vendor practices. Complete all six categories for a meaningful overall assessment.
Contract Clause Checker
Review each must-have contract clause for AI vendors. Check the box when your contract includes it, and expand to see why it matters, red flags, and suggested wording.
These six clauses represent the minimum viable contract protection for any AI vendor handling employee data. If a vendor's contract is missing any of these clauses, raise it during negotiation -- not after you have signed. The suggested wording is a starting point; your legal team should adapt it to your jurisdiction and specific requirements.
Key Insight: The Lock-In Trap
Vendor lock-in is one of the most underestimated risks in HR AI procurement. When your employee data, AI models, and workflow integrations are deeply embedded in a single vendor's ecosystem, switching becomes prohibitively expensive and operationally risky. This gives the vendor disproportionate leverage on pricing, terms, and service levels.
Protect yourself by insisting on data portability clauses from day one, using open standards where possible, avoiding proprietary data formats, and maintaining the ability to export all data (including AI-generated insights) in a usable format. The best time to negotiate exit terms is before you sign -- not when you are already dependent on the platform.