Proposers

Faculty, staff, researchers, and unit leads with an AI idea. Use the Describe and Plan steps to frame the problem and draft intended outcomes before a formal review.

AI governance committees & councils

Cross-functional review bodies. Score proposals together, record the reasoning behind each score, and use the portfolio to compare candidates and set priorities.

Senior leaders

Presidents, provosts, cabinet members, and CIOs. Get a consistent, mission-aligned basis for deciding which initiatives to fund, pause, or decline.

IT, privacy & security teams

Technical and compliance reviewers. Bring evidence on data, integration, vendor, and compliance risk into the ethics and financial dimensions.

Teaching, learning & research units

Centers for teaching, academic technology, and research offices. Weigh pedagogical value, academic integrity, and research impact alongside institutional risk.

Project & service owners

The people who run approved initiatives. Track KPIs, OKRs, and efficacy during the pilot, then use Reflect to recommend whether to scale, iterate, pause, or stop.