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Vendor Evaluation

AI Vendor Evaluation for Small Teams

Choosing an AI vendor is a governance decision, not just a procurement one. This hub covers the questions every small team should ask before signing a contract, from data handling to model transparency.

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Frequently Asked Questions

What questions should I ask an AI vendor about data?
Key questions: Is our data used to train your models? Where is data stored and processed? Do you have a Data Processing Agreement? Can we delete our data on request?
What's the most important clause in an AI vendor contract?
Data ownership and the right to deletion. Ensure the contract is explicit that your data (including prompts and outputs) belongs to you and is not used for training.
How do I evaluate model accuracy claims?
Ask for benchmark results on your specific use case, not just general benchmarks. Better yet, run a time-limited pilot with real tasks before committing to a contract.
Do we need a DPA with every AI vendor?
If you're subject to GDPR (or similar), yes — for any vendor processing personal data on your behalf. Most major vendors publish a standard DPA or build it into their commercial terms, as Anthropic, OpenAI and Mistral do.