A curated collection of essential ai procurement & vendors resources, organized by type for easy navigation.
9 resources
6 items
Structured methodology for evaluating AI vendors covering technical capability, security, viability, and commercial terms with risk register template.
Practical methodology for comparing AI vendors using weighted scoring matrices. Move from long list to confident selection with objective criteria.
Comprehensive AI-specific RFP template covering technical requirements, security questions, and AI-specific provisions for vendor evaluation.
Design and execute AI POCs that actually inform decisions. Covers success criteria, data preparation, and evaluation with decision framework.
Guide to AI-specific contract provisions covering data rights, model training, performance, and liability with example clause language.
Navigate AI-specific liability issues including errors, bias, and data breaches with risk allocation framework and contract provision examples.
3 resources
3 items
Arm your evaluation team with specific questions to ask during AI vendor demos. Covers technical, security, and commercial topics with red flag indicators.
DPA requirements for AI vendors including AI-specific provisions for model training, data retention, and PDPA compliance with review checklist.
Identify warning signs early during AI vendor evaluation. Covers security evasiveness, unrealistic claims, and financial instability indicators.
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