Veriviva
VeriViva
Workflow overview

How Veriviva moves from submitted work to reviewable evidence.

Veriviva helps universities run structured viva-style knowledge checks with AI-supported planning, academic approval, recorded interviews, transcripts, and a clearer evidence trail for final review.

Veriviva workflow from AI inputs to verified understanding
Step by step

A workflow designed for understanding, not just submission checking.

Step 1

Submission intake

Students submit their work through a controlled university workflow so the assessment starts from the real submitted artifact, not a detached review copy.

Step 2

AI-supported question planning

Veriviva analyses the work and helps academics prepare structured viva-style questions designed to test understanding rather than just surface-level recall.

Step 3

Academic review and approval

Academics review, edit, and approve the questioning plan so human judgement stays in charge before any interview takes place.

Step 4

Recorded live interview

A live, recorded interview captures how well the student can explain, defend, and connect the work they submitted.

Why this matters

The final document alone is no longer enough.

Universities increasingly need a way to verify understanding around drafts, prompts, AI-assisted research, and submitted work without replacing academic judgement with a model output.

Review outcome

Academics keep the final decision.

Veriviva is designed to support reviewer preparation, structure the interview, and assemble evidence so moderation, appeals, and institutional review have a clearer record to work with.

Next step

Discuss how this workflow could fit your pilot.

If you want to explore how a structured viva-style workflow could fit your assessment process, register interest and we will follow up.