Writing shows output.
ReflectAI shows understanding.
AI-enabled oral assessment that converts any written submission into a structured,
personalised evaluation — at scale, without adding faculty workload.
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The Problem

Assessment Integrity Is Under Pressure. Right Now.

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AI-assisted submissions are now the norm
89% of faculty in a 2024 global survey could not verify whether submitted work reflects genuine student understanding
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Detection tools do not solve the problem
They flag text similarity, not comprehension gaps; a well-prompted AI submission passes most checks undetected
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Vivas work — but do not scale
A rigorous individual viva takes 15–20 minutes per student; for a cohort of 60, that is over 20 faculty hours per assessment cycle.
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Accreditation pressure is rising
AACSB and NBA now require demonstrable, individual-level evidence of learning outcomes that written assessment alone cannot reliably provide

What is Reflect AI?

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ReflectAI
ReflectAI ingests any written submission and generates a personalised oral evaluation — questions drawn directly from what each student wrote, mapped to faculty-defined criteria. Students cannot prepare in advance. Their understanding is assessed on its own merit.
How It Works
1·1·Assign
ReflectAI ingests any written submission and generates a personalised oral evaluation — questions drawn directly from what each student wrote, mapped to faculty-defined criteria. Students cannot prepare in advance. Their understanding is assessed on its own merit.
2·2·Assess
ReflectAI ingests any written submission and generates a personalised oral evaluation — questions drawn directly from what each student wrote, mapped to faculty-defined criteria. Students cannot prepare in advance. Their understanding is assessed on its own merit.
3·3·Evaluate
ReflectAI ingests any written submission and generates a personalised oral evaluation — questions drawn directly from what each student wrote, mapped to faculty-defined criteria. Students cannot prepare in advance. Their understanding is assessed on its own merit.
What Faculty Get
Argument-quality indicators for every student in the session
A complete stakeholder engagement record — who challenged, who led, who deferred
Recommendation coherence scores mapped to learning objectives
Compatible with CaseEngine-authored and externally published case studies

What ReflectAI Delivers Across the Academic Ecosystem

For Faculty
Assess genuine understanding at scale — without manual vivas
Structured, defensible grading evidence for every student
No additional workload — evaluation data is automatically generated
For Students
Be evaluated on what you know — not what you submitted
Build confidence defending ideas under pressure — a skill that matters beyond the classroom
Strengthen clarity of thought through oral practice tied directly to your own work
For Institutions
Restore credibility to written assessment in the AI era
Demonstrate auditable, individual-level assessment to accreditation bodies
Scale authentic assessment without adding faculty time or administrative overhead
Still Exploring? Let Us Walk You Through It.
Whether you want to understand the tools, see them in action, or discuss how they fit your programme — our academic team is ready to help.