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Enterprise AdTech Architecture cover
Enterprise AdTech Architecture — Studio Edition cover

Enterprise AdTech Architecture

A toolkit for designing AI-driven adtech architectures with policy gates, audit trails, and incident response built in.

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

$79 Prices in USD

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

Updated October 2026

Get it now — $79

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 · 15 KB · 7 pages

$79 one-time, USD Instant download via Gumroad 3 sections inside

What it does

A 7-page toolkit guide for designing AI-driven adtech architectures with governance built in: a stack design blueprint (core layers and data pipelines), data flow governance across ingestion, processing, and output, vendor contracts and a vendor integration checklist, policy gates mapped to EU AI Act compliance, audit trails, and incident response mapped to real adtech workflows — no vendor lock-in. For enterprise adtech and platform teams. From ghostcorpnet (Kestrelattice).

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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