For institutions
The credibility of the qualification is the thing being protected.
Akanya is an assessment adaptation platform. It works inside the assessments a faculty already runs, raising reasoning visibility where the consequence of a weak judgement is highest and leaving everything else light.
What has actually changed for the institution.
The qualification carries the claim
A degree asserts that a graduate can exercise judgement in the discipline. When a polished answer can be produced in minutes, the final artefact no longer carries that claim on its own.
Policy is ahead of practice
Most institutions now have a position on responsible AI use. Far fewer have a way to express that position inside a specific assessment, in a specific discipline, on a specific week.
Blanket responses are expensive
Returning everything to invigilated handwriting, or monitoring every student, imposes cost and inequity across the whole cohort in order to address risk concentrated in a few assessments.
Accreditation asks for evidence
Professional bodies increasingly ask what a graduate can do unaided. A recorded reasoning journey gives faculties something specific to show.
Where it matters
Use reasoning touchpoints as a scalpel, not a roadblock.
A weekly tutorial does not need the same level of assurance as a final examination or capstone. Lecturers can choose where deeper reasoning is necessary without placing the entire class under intrusive monitoring.
Final examination
- Recommended reasoning visibility
- Enhanced
- Suggested touchpoints
- Two
- Expected additional cognitive effort
- Redistributed within the existing examination window.
- Suitable reasoning components
- Evidence selection, initial position, targeted challenge, defended judgement.
Deeper reasoning is applied where the consequence of a weak judgement is highest. Everywhere else, the assessment stays light.
Equity and access
Designed for equitable assessment.
Akanya’s core reasoning journey uses low-bandwidth written interaction on the same device used for the assessment. It does not require cameras, biometric monitoring or additional hardware.
No webcam requirement
The reasoning journey is written interaction, not observation.
No biometric monitoring
Nothing about the student's body or face is captured.
No secondary device
The assessment runs on the device already in use.
Low-bandwidth interaction
Text first, designed for constrained connections.
Mobile and desktop
The same journey adapts to the screen available.
Configurable accommodations
Time and component settings can be adjusted per student.
Institution-controlled settings
Accessibility decisions stay with the institution.
Assessment adaptation should not depend on what a student can afford.
Adoption path
Start with one assessment. Expand with evidence.
A credible implementation begins with a defined use case, clear lecturer ownership and evidence that the workflow adds value before the scope expands.
- 01
Explore
Review the guided experience, identify the assessment pressure and agree what useful evidence should look like.
- 02
Course trial
Configure one assessment using approved sources and criteria, then review the reasoning and lecturer workflow with a defined group.
- 03
Faculty rollout
Extend the approach to selected modules with discipline-specific standards, reporting and lecturer support.
- 04
Institutional integration
Align LMS pathways, data governance, reporting and implementation responsibilities around the institution's environment.
Bring us the assessment you are most worried about.
We would rather test the framework against a hard case than a convenient one.