Virginia Tech ties advising AI use to approved accounts, consent and output review

Advising directors may want help with documentation while preserving reliable student support. Include advisors, students, records managers, accessibility specialists and IT in discovery. Ask which tasks consume effort, where errors affect course decisions, and how students can obtain equivalent service without AI capture. Offer a small evaluation of one approved drafting workflow. The value hypothesis is less total administrative work at acceptable record quality, to be measured locally. This guidance helps define the engagement boundary but supplies no return-on-investment evidence. Do not promise improved retention, guaranteed compliance or workforce reductions. Confirm that current institutional approval covers the intended data before proposing live use.

Build a test path from synthetic appointment material to draft, reviewer correction and the destination record. Prerequisites are documented data classification, approved identity settings, retention rules and a responsible advisor. Test omitted deadlines, invented advice, mistaken identities and inappropriate inference from a conversation. Exercise refusal of unapproved tools and the consent process. Measure end-to-end review effort against ordinary note creation. Validate deletion of intermediate artifacts and prevent cross-student access. Cloud, local and hybrid designs each need their own data-flow assessment; none is established by the guidance. Autonomous writes to student records would require a separately approved design and evidence.

The advising service owner should coordinate a limited pilot with records, privacy and IT leads. Establish a manual baseline, train advisors to correct drafts, and prepare a clear student explanation and equivalent manual route. Dependencies include current tool approval, accessible consent and review capacity.

Proposed acceptance criteria

all sampled final notes have an identified reviewer, every tested consent scenario works, no unresolved critical disclosure or advice error remains, and total effort is compared with baseline. These are proposed gates, not Virginia Tech results. Review before expansion and after material configuration changes. Risks include consent becoming perfunctory, review fatigue and sensitive content entering the wrong system.