Total audits1,284

Interactions assessed

Pass87%

Matched requested frame

Review13%

Human review advised

Grounding96%

Evidence preserved

The problem

AI rarely fails loudly. It drifts quietly.

Enterprise AI answers can be fluent, confident and still not execute the original request cleanly. Truth Index focuses on the gap between what the user asked and what the AI actually performed.

Execution driftDetects answer frames that move beyond the user request.
AmbiguityFlags uncertain referents and context resolution issues.
Audit receiptsCreates a readable record for review, governance and QA.

Dashboard

Executive view for AI governance teams.

Monitor pass/review rates, review queues, behaviour patterns and exceptions across AI interactions.

Mock Truth Index dashboard showing audit metrics, review queue and behaviour distribution

Receipts

Every audit produces a clear evidence trail.

Truth receipts show the prompt, AI answer, requested contract, performed contract, review reason and additional content classification.

Mock Truth Index receipt showing prompt, answer and reviewable expansion finding

How it works

Built as an independent decision audit layer.

01

Capture

Record the user prompt and AI answer exactly as they occurred.

02

Extract

Create comparable requested and performed audit contracts.

03

Compare

Identify missing content, drift, ambiguity and reviewable additions.

04

Receipt

Produce a transparent audit record for governance teams.

Founder-led pilots now open

Interested in testing an independent audit layer for AI answers?

Truth Index is looking for early enterprise AI teams, governance leads and AI consultancies to test the product on real interaction logs.

Request pilot discussion