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AI Audit Evidence Pack — Studio Edition cover

AI Audit Evidence Pack

A concise, actionable PDF guide structured as a policy one-pager—AI Audit Evidence Pack—provides templates, checklists,

Who this is for: teams shipping AI agents to production — founders, platform engineers, and anyone whose agents touch money, data, or external systems.

  • Complete, zero-placeholder document
  • Ready to adopt as-is
  • Grounded in production agent-governance practice

$19 Prices in USD

One-time · Instant PDF download via Gumroad · All sales final — no refunds.

Updated October 2026

Get it now — $19

Secure checkout via Gumroad · Sold by ghostcorpnet · buyer protection · Single-user license · Instant delivery

Lifetime access — yours forever in your Gumroad library

License TL;DR · full terms

  • Use it in your own products and client work
  • Single-user license — one buyer, unlimited personal use
  • No reselling or redistribution as-is

Not ready? Get the free MIT playbook first.

PDF · 10 KB · 5 pages

$19 one-time, USD Instant download via Gumroad 3 sections inside

What it does

A concise, actionable PDF guide structured as a policy one-pager—AI Audit Evidence Pack—provides templates, checklists, and workflows to systematically gather evidence for AI system audits under EU AI Act, NIST RMF, and ISO 42001. Includes policy gates, audit trails, cost controls, and incident response. Perfect for teams needing a single reference for compliance-ready evidence collection.

What's inside

  • Complete, zero-placeholder document
  • Ready to adopt as-is
  • Grounded in production agent-governance practice

How it works

How do I receive it?

Checkout is handled by Gumroad. The PDF is available for instant download the moment you pay — no account setup on our side, no waiting.

Is it really ready to use?

Yes. Every ghostcorpnet product is written with zero placeholders — adopt it as-is, no "insert your policy here" gaps.

Who is it for?

Teams shipping AI agents to production — founders, platform engineers, and anyone whose agents touch money, data, or external systems.

Pairs well with

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