Campus AI AgentsA field guide 11 · 08 / 8
Template 08 of 8

Vendor agent due-diligence questions

Ask before enabling agent features in any licensed product.

Data and models

  • Is institutional data used to train or improve vendor models?
  • Where is data processed and stored, and for how long?
  • Which third-party models are used, and can they change without notice?

Control and transparency

  • Can each agent feature be enabled per role or population?
  • What actions can the agent take, and can they be restricted?
  • What logs and audit data are available to the institution?
  • How are new agent features announced before release?

Accountability and exit

  • What testing for accuracy and bias has the vendor done, and will it share results?
  • How are incidents reported to the institution?
  • Can data and configurations be exported if the contract ends?
  • Are accessibility conformance reports available?

Used in these scenarios

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