AI in the classroom is now part of the record, like a grade.
Tokto records every prompt your team runs across academics, research, and admin, ready for the department chair, the GC, the IRB, and the funding agency.
Your team starts using a new AI for grading support this term. The chair asks who tested it, the GC asks about FERPA, the IRB asks about consent. No one has a single answer that matches.
- Every AI interaction tied to a department, a course, a study, and a model version.
- A single record that the chair, the GC, and the auditor can read against the same evidence.
- Policy at the prompt: FERPA records blocked, IRB-protected data redacted, export-controlled work stopped before tokens leave the boundary.
- AI used at the speed of teaching and research with the record the institution needs.
- A new tool gets used across three departments before anyone notices. The chair finds out at audit.
- A faculty member pastes student work into a public model. FERPA exposure.
- A research assistant retains restricted data past the protocol. The institution cannot produce a deletion record.
- A department's AI cost runs over by 10x in a term. Nobody can say where it went.
Tokto sits inside every AI conversation in the institution. The faculty co-pilot, the administrative assistant, the research model — all become records at the moment of use. The record carries the department, the course, the study, the model, and the policy that applied. Practitioners get the speed; the institution gets the trail.
When the chair asks who used what, when the GC asks about FERPA, when the funder asks about restricted research, the answer is one query. The team uses AI; the institution stays inside federal funding terms.