NCAA recommends lifecycle controls for performance technology

The customer problem is fragmented accountability when teams acquire analytics independently. Engage athletics leadership, sports medicine, IT, procurement, counsel and athlete representatives. Ask which systems lack an owner, whether existing contracts permit the planned AI use, and who can stop inappropriate processing. A bounded engagement could inventory one team's tools and resolve its highest-priority governance gaps. The value hypothesis is clearer decisions and fewer unowned risks, not guaranteed compliance or savings. Avoid claiming that adopting a checklist proves safety. Position the work as locally tailored implementation support, with institutional counsel determining legal obligations and medical staff retaining clinical decisions.

Fit is a control assessment across collection, storage, inference, reporting and deletion. Build a data-flow map and test effective permissions rather than relying on policy text. Prerequisites include a vendor inventory, named data stewards and an approved use-case register. Examine cloud subprocessors, local-device exports and hybrid copies equally; hosting location by itself is insufficient evidence of protection. A proof of value can trace representative records through each boundary and test revocation and deletion behavior. Require an explicit approval before reusing operational records to train a model. Developers should expose audit evidence; autonomous medical or eligibility decisions are outside this proposed scope.

Appoint an athletics executive sponsor and operational coordinator, then assign concrete controls to IT, procurement and health staff. Dependencies include contract access, athlete consultation and time for training. Produce a practical operating procedure and rehearse exceptions before rollout. Governance checkpoints should cover initial inventory, pilot authorization, athlete feedback and renewal. Proposed acceptance criteria are an assigned owner and approved purpose for every in-scope data flow, successful access-removal tests, and documented completion of role-appropriate training. Track unresolved exceptions rather than declaring blanket compliance. Adoption should include a confidential route for athlete concerns; weak follow-through can leave an approved document disconnected from actual practice.