A common evidence layer across a global portfolio.
Support quality and assessment review across programmes and delivery partners with a consistent evidence schema.
Integrevise for University of London
The University of London's own AI guide recommends oral and process-rich assessment. Integrevise turns a submitted assignment into a short adaptive oral discussion, producing structured evidence for staff and personalised feedback for students across a global online portfolio.
Value at every level
Integrevise adds a practical evidence layer while preserving programme ownership, online accessibility and the assessments faculty already use.
Support quality and assessment review across programmes and delivery partners with a consistent evidence schema.
Ground the short discussion in the current brief, rubric and student work while academic judgement remains with staff.
Give students a clear way to show reasoning and receive feedback tied to their own submission.
Evidence before adoption
Integrevise's adaptive oral approach has been evaluated in a university setting and published in the peer-reviewed journal Trends in Higher Education.
Read the peer-reviewed studyDirectly aligned with the University of London
The University of London's own guidance recommends oral and process-rich approaches to assessment, while its regulations make permitted AI use assignment-specific and require acknowledgement. Integrevise makes those principles operational across online study by creating direct evidence of understanding while academic judgement remains with staff.
A simple next step
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 preparation, module selection or assessment redesign needed.