GovernPass AIPowered by the Evidentry Engine · Datafakts Ltd
GP
GovernPass AI
Procurement-ready AI assurance
Open platform →
Built for healthcare buyers and suppliers — and four more sectors

Procurement-ready AI assurance, across every regulated sector.

GovernPass AI turns fragmented governance, validation and oversight evidence into a structured Assurance Passport that buyers, review panels and decision-makers can actually use.

Not another dashboard. Not a certification service. The evidence-to-assurance layer that prepares AI systems for procurement, audit and external assessment across five regulated sectors.

Sectors covered
Healthcare, Finance, HR, Public Sector, Education
Deployment model
Hosted and restricted-environment patterns
Output
Buyer-readable Assurance Passport with PDF export
Parent company
Datafakts Ltd
GP

GovernPass AI

Powered by the Evidentry Engine

Assurance Passport generation
Evidence-to-control mapping
🔒LLM-powered document classification
👥Human sign-off and challenge
Versioned review readiness
📄PDF export for procurement packs
The procurement problem

Regulated AI buyers do not need more claims. They need clearer evidence.

Most organisations already hold a large share of the material needed for AI assurance. The friction comes from fragmentation, repeated requests, inconsistent presentation and weak traceability between claims and source evidence.

Too many PDFs, spreadsheets and policy extracts with no clear evidence trail.
Repeated requests for the same documents in different formats across buyers.
Weak visibility of what has been validated, challenged and formally approved.
Unclear boundaries between supplier claims, internal review and formal assessment.
No portable, versioned record of readiness that survives a change of procurement contact.
Control frameworks vary by sector — manual mapping to each one is expensive and error-prone.
Platform

A real assurance workflow for enterprise buyers, suppliers and reviewers.

GovernPass AI is designed to fit serious review processes. It brings structure to what already exists, shows what is missing and keeps final accountability with humans.

Assurance Passport generation

Create a structured compliance pack from DPIAs, governance documents, validation outputs, security material, oversight records and procurement evidence — automatically classified by Claude.

Evidence-to-control mapping

Map available evidence to 9 built-in control packs across 5 sectors, highlight coverage, identify missing controls and flag areas that need clarification or follow-up.

🔒

LLM document classification

Upload PDFs, DOCX, XLSX or plain text. Claude Haiku classifies each document into 14 evidence categories and rates its quality as strong, partial, or weak.

Restricted deployment options

Support organisations that need local, tightly controlled or restricted-environment workflows for sensitive evidence handling — not everything goes to the cloud.

👥

Human sign-off and challenge

Build in decision points for governance leads, clinical safety, information governance, procurement or other named reviewers before a passport is marked approved.

Versioned review readiness

Maintain a portable, versioned picture of what evidence exists, what has changed and what still blocks confidence — regenerate the passport any time new documents are added.

Five regulated sectors

One platform, every regulated sector.

Nine control packs built in. Select the ones relevant to your AI system and get an immediate gap analysis.

DTAC v2DCB0129

Designed for the way healthcare organisations buy, review and challenge AI.

The first commercial focus is Healthcare and Life Sciences, where assurance burdens are high, evidence quality matters and weak review readiness creates real friction.

For procurement teams

Get a buyer-readable view of evidence quality, missing controls, open questions and sign-off requirements before a system moves forward.

For digital and clinical safety leads

Trace claims back to source material, surface gaps in oversight and make escalation points visible before deployment decisions are made.

For suppliers selling into healthcare

Reduce duplicated pre-sales assurance work by preparing a reusable evidence pack adaptable for different buyers and review contexts.

How it works

From documents to Assurance Passport in four steps.

01

Upload your evidence documents

Drag and drop PDFs, DOCX, XLSX and text files. GovernPass AI extracts text and sends each document to Claude for classification into one of 14 evidence categories with a quality rating.

02

Select your control packs

Choose from 9 built-in control packs across 5 regulated sectors. Mix and match — a healthcare AI system might need DTAC v2, DCB0129, and EU AI Act controls all at once.

03

Generate your Assurance Passport

Claude Haiku assesses each control against your uploaded evidence, identifying coverage, gaps and confidence. Claude Sonnet writes the executive summary with a readiness score and recommendation.

04

Review, sign off and export

Governance leads review the passport, add sign-offs, request revisions. Download a formatted PDF Assurance Passport ready for procurement packs, buyer Q&A or internal board review.

Security and audit

Built for regulated environments where evidence provenance matters.

GovernPass AI runs on a cryptographic audit backbone — every event in the system is hashed, chained and anchored to a Merkle tree with timestamp authority signatures. Nothing can be silently altered.

The Evidentry Engine provides the immutable provenance layer. The evidence classification and passport generation layer sits above it, with the same integrity guarantees applied to every document, assessment and sign-off.

RBAC API key authenticationCryptographic event chainMerkle tree anchoringRFC 3161 timestamp authoritySelective field disclosureRegulator export packsLegal holdsWebhook audit deliveryImmutable correction records50 MB document limit
FAQ

Common questions

Get started

Ready to build your first Assurance Passport?

Talk to the GovernPass AI team about a pilot or restricted-environment evaluation. Or open the platform and start uploading documents today.

drkoesters@datafakts.com · Datafakts Ltd · United Kingdom