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Analytics Maturity Assessment cover
Analytics Maturity Assessment — Studio Edition cover

Analytics Maturity Assessment

An interactive, capability-scoring assessment that maps your AI governance practices against real-world AI agent governa

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

$99 Prices in USD

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

Updated October 2026

Get it now — $99

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 · 12 KB · 5 pages

$99 one-time, USD Instant download via Gumroad 3 sections inside

What it does

An interactive, capability-scoring assessment that maps your AI governance practices against real-world AI agent governance standards (EU AI Act, NIST RMF, ISO 42001) and generates a tailored improvement roadmap. Designed for teams deploying AI agents, it evaluates 12 critical dimensions—from policy gates to incident response—with weighted scoring and visual maturity progression. Delivered as a self-guided HTML tool with embedded guidance, it’s the first step toward achieving compliance-ready AI operations.

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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