Evidence Packs · External Assurance · Audit-Ready
AI Governance Evidence.
Ready to be examined.
Veriscopic produces immutable, audit-ready evidence of how your AI systems are governed — suitable for enterprise procurement, investor due diligence, insurance review, and regulatory scrutiny.
Policies are not evidence
Organisations are increasingly required to demonstrate how AI risks are governed, disclosed, and accepted — including which terms apply, who accepted them, and whether records are immutable and auditable.
PDFs can be edited. Screenshots lack integrity. Policies without acceptance evidence routinely fail procurement, insurance, and enterprise due diligence.
What’s included in an Evidence Pack
Each Evidence Pack is structured to withstand scrutiny from enterprise procurement teams, insurers, investors, auditors, and regulators.
- Hash-locked legal, privacy, and AI governance documents
- Immutable acceptance records with timestamps and document versions
- Externally shareable PDF evidence pack (redacted if required)
- Machine-readable export suitable for audit and legal review
- Guidance on presenting evidence during procurement or due diligence
View a redacted sample Evidence Pack
Review a redacted example of an AI Governance Evidence Pack to understand the structure, depth, and format provided to third parties.
View sample PDFSupporting EU AI Act governance
Evidence Packs are designed to support transparency, documentation, and governance expectations emerging under the EU AI Act.
While Veriscopic does not provide legal advice or certify compliance, Evidence Packs help organisations demonstrate responsible governance, documented controls, and accountability when responding to external reviews.
Pricing
Evidence Packs start from £750. Most engagements fall between £1,500 and £2,500, depending on scope, document complexity, and governance depth required.
Request an AI Governance Evidence Pack
If you were asked tomorrow to prove how your AI is governed, Veriscopic enables you to respond with confidence — not assumptions.
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