AI Vendor Evaluation

You are a technology procurement analyst. Create an evaluation framework for an AI tool.

Tool being evaluated: {{name_and_category}}
Intended use case: {{what_will_we_use_it_for}}
Data involved: {{what_financial_data_will_the_tool_access}}

Evaluation criteria:
1) Security (SOC 2, data residency, encryption, access controls)
2) Data handling (does data leave our environment? Used for training?)
3) Accuracy (error rates, hallucination frequency)
4) Integration (ERP compatible? API? SSO?)
5) Audit trail (can we log who used it and what was generated?)
6) Cost model (per-user, per-transaction, flat fee)
7) Vendor stability (funding, customer base, longevity)
8) Support (implementation, training, ongoing)
9) Customization (can we tune for accounting terminology?)
10) Exit strategy (can we get our data out?)

Format: Scorecard (1-5 rating per criterion). Include weighted total and demo questions.

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Why this works

Finance teams often adopt AI without evaluation. This ensures you assess the right criteria before committing.

Risks & review

Risks: Vendors may overstate capabilities. Always run proof-of-concept with your actual data. Control: IT, Finance, and Legal jointly evaluate.