AKANYA

Learning assurance for the age of AI

Interactive prototype · Illustrative data

AKANYA

Think beyond the answer.

Making genuine learning visible in the age of AI.

Akanya helps higher-education institutions assess how students use evidence, respond to challenge and defend judgement, not only what appears in the final answer.

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Interactive functional prototype.

The reasoning journeyEvidence → judgement
  1. 1Course evidence

    Lecturer-approved sources

  2. 2Initial position

    Recommendation, assumption, risk

  3. 3Reasoning challenge

    One course-grounded tension

  4. 4Defended conclusion

    Defend, modify or replace

  5. 5Lecturer judgement

    Final academic authority

The problem

AI can now produce the final answer. Institutions still need evidence that learning happened.

  • 01

    Polished written output alone no longer provides sufficient evidence of understanding.

  • 02

    Detection tools focus on possible authorship rather than whether learning occurred.

  • 03

    AI tutors may support learning but do not provide institutional assessment assurance.

  • 04

    Lecturers need better evidence without an unmanageable increase in workload.

Traditional assessment

  1. 1Question
  2. 2Final answer
  3. 3Lecturer review

With Akanya

  1. 1Evidence
  2. 2Position
  3. 3Challenge
  4. 4Defended judgement
  5. 5Lecturer review

Lecturer review remains the point of judgement in both models. Akanya gives that review more to work with: the reasoning behind the answer, not only the answer.

Category

Not another AI tutor. A learning-assurance layer.

AI study assistants

Support students through explanations, drafting or dialogue.

Assessment delivery platforms

Deliver, manage and record tests or assignments.

Detection and integrity tools

Analyse final submissions for possible concerns.

Akanya

Capture and review the reasoning journey behind assessed work.

This category

The challenge is one mechanism inside Akanya. The product is the complete evidence-to-judgement workflow.

How it works

Five stages, from course evidence to lecturer judgement.

  1. 1Course evidence

    Lecturer-approved sources

  2. 2Initial position

    Recommendation, assumption, risk

  3. 3Reasoning challenge

    One course-grounded tension

  4. 4Defended conclusion

    Defend, modify or replace

  5. 5Lecturer judgement

    Final academic authority

  1. Stage 1

    Course-grounded evidence

    The lecturer controls the source material and learning outcomes that shape the assessment.

  2. Stage 2

    Initial reasoning

    The student states a position, supporting evidence, assumptions, risk and rejected alternative.

  3. Stage 3

    Reasoning challenge

    Akanya identifies one meaningful tension grounded in the approved course material.

  4. Stage 4

    Defended judgement

    The student defends, modifies or replaces the original conclusion.

  5. Stage 5

    Lecturer review

    The lecturer reviews the reasoning journey and retains final authority over marks.

Akanya shifts assessment from final-output review to visible reasoning.

Who it is for

Built for the people who design and defend assessment.

Lecturers

  • Better evidence of student understanding
  • Clearer rubric review
  • Visibility of assumptions and misconceptions

Programme and faculty leaders

  • Stronger learning assurance
  • Responsible AI adoption
  • More defensible assessment design

Teaching and learning teams

  • Structured assessment redesign
  • Course-grounded workflows
  • Evidence for pilot evaluation

African in origin, globally relevant

Built for institutions that take assessment seriously.

Akanya is designed for higher-education settings where a defensible view of student reasoning matters — from a single postgraduate module to programme-wide assessment redesign.

  • Business schools
  • Executive education
  • Professional programmes
  • Postgraduate faculties
  • Teaching & learning units

Prototype

Explore the working prototype.

The guided experience introduces the Akanya assessment journey. Approved academic reviewers may also request access to the separate interactive prototype currently under development.

Request prototype accessEnter invited prototypePrototype access is available by invitation.

Prototype access is reviewed before an invitation is issued.

Responsible AI

Human academic authority remains central.

Akanya provides decision support. It is designed so that judgement stays with the academic, and so that students can see and respond to the evidence behind any decision.

  • No automatic misconduct decisions
  • No automated final marks
  • No behavioural or typing-profile analysis
  • Lecturer-approved course material
  • Transparent source references
  • Student opportunity to respond
  • Minimum necessary data
  • No public-model training on student work
  • Accessible alternatives
  • Institution-controlled policy settings

Pilot

Seeking one controlled institutional pilot.

Suggested scope

  • One module
  • One assessment
  • 100–250 students
  • One academic term
  • Lecturer-controlled marks
  • Lightweight implementation
  • Pilot evaluation report

  1. Phase 1

    Co-design

    Align the assessment, sources, rubric and AI-use policy.

  2. Phase 2

    Controlled assessment

    Run one defined assessment under lecturer oversight.

  3. Phase 3

    Pilot evaluation

    Review academic usefulness, student experience, lecturer workload and governance requirements.

Discuss a pilotRequest prototype access

When AI can produce the answer, institutions need a better way to see how students think.

Start the guided demoRequest prototype accessDiscuss a pilot

Akanya is a Teddy K Group venture.