Evidence for outcomes and accreditation
Produce reviewable learning evidence aligned to outcomes without making an automatic misconduct inference.
AI literacy · direct evidence
Make AI literacy visible without relying on AI detection.
Integrevise turns submitted work into a short adaptive oral discussion grounded in the existing brief, rubric and the student's own work. It creates reviewable evidence of individual understanding and personalised feedback, without scheduling a live interview for every student.
One practical evidence layer
Support authentic assessment without adding a live viva to every submission.
Integrevise works from materials teaching teams already use. It creates a structured opportunity for explanation while academic judgement remains with the institution.
Plagiarism-resistant, not detector-led
Retain assignment design and academic judgement while seeing structured evidence of what each learner can explain.
Show judgement, not tool compliance
Make process and understanding visible, practise explaining decisions and receive feedback grounded in the submitted work.
Peer-reviewed university study2026One university setting
Early evidence, clearly bounded
A practical approach with preliminary university evidence.
A published, multi-cycle study at one private US liberal-arts college offers preliminary qualitative evidence that post-submission oral verification can surface comprehension gaps and implementation issues. It does not establish broad efficacy or scalability.
Read the peer-reviewed studyPublished Montclair direction
The principles are in place. Integrevise makes them operational.
Montclair does not endorse automatic AI-writing detection, is developing a graduation AI-literacy requirement and connects curriculum with assessment and accreditation.
Integrevise creates evidence through student explanation rather than an automatic misconduct inference.
These official sources establish context; they do not imply that the institution has endorsed Integrevise.Montclair prioritisesAI literacy, clear course design and outcome-aligned assessment.
Integrevise addsReviewable evidence through student explanation.
A focused first conversation
Compare AI-literacy and assessment priorities
A short conversation is enough to compare priorities, explore fit and decide whether the approach deserves a closer look.
Book a 20-minute conversation No module selection or assessment redesign required.