01
Claim register
A reviewable inventory of substantive claims, their evidence status, and the work still owed.
[ Maha Provenance Standard // Evidence Audit ]
Make the document defensible before it reaches review.
An MPS Evidence Audit turns an AI-assisted report, manuscript, or public-facing document into a reviewable record of what is sourced, verified, interpreted, and still unresolved.
This is not generic AI writing advice or a polished summary. It is an evidence workflow for work your organization must be able to stand behind.
Start self-service for a defined extract. Scope a human audit for a high-stakes document.
[ The outcome ]
02
Verification backlog
A prioritized record of source checks, corrections, and decisions needed before the document moves forward.
03
Publication-readiness record
A clear separation between sourced material, verified material, interpretation, and unresolved claims.
[ Who it is for ]
For documents where a fluent answer is not enough.
- Research and policy teams preparing a report that others will cite or scrutinize.
- Communications teams using AI-assisted drafting for externally consequential publications.
- Publishers and organizations that need to improve a document’s evidence trail before review.
[ A clear path ]
01
Test the extract
Use the private preflight for a bounded claim map and verification backlog.
02
Scope the review
We define the document, reviewer context, source constraints, deliverable, price, and timing.
03
Resolve what matters
Receive the agreed evidence record and a clear view of what is ready, conditional, or unresolved.
The method is public: MPS makes the epistemic status of substantive claims explicit and machine-readable. An audit applies that discipline to the document in front of you.