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Series

The Regulated AI Stack

A 10-part series exploring the challenges, architectures, and frameworks for adopting AI in regulated industries.

10 parts · 88 min total · Jan 2026 – Feb 2026

Three weeks and ten posts exploring what it actually takes to adopt AI in banking, healthcare, and government. From the compliance tax that throttles productivity, through architecture and identity frameworks, to trust calibration and validation infrastructure: this series maps the territory between AI hype and regulated reality.

The Regulated AI Stack: Series Overview

  1. Part 01 7 min The Compliance Tax: Why Your AI Productivity Isn't 10x (And Why That's Okay) Challenging the '10x productivity' marketing narrative. What regulated workers actually experience, and why 3x is still transformational.
  2. Part 02 9 min Your AI Toolkit is Probably Illegal A compliance audit framework for AI tools in regulated industries. Most workers are unknowingly creating liability. Here's how to assess your risk.
  3. Part 03 10 min The Reference Architecture: A 4-Layer Approach to AI Tooling Moving beyond product recommendations to architectural thinking. A framework for organizing AI tools with appropriate boundaries and context flow controls.
  4. Part 04 8 min Non-Human Identities: When AI Agents Need Employee Badges AI agents acting autonomously need identity, just like human employees. Exploring what Non-Human Identity means for regulated environments.
  5. Part 05 9 min The Agent Impersonation Problem: When AI Commits Code as You When Claude Code commits, it's 'you' in the audit log. Exploring the identity crisis at the heart of AI-assisted development.
  6. Part 06 8 min The AI Context Portability Problem Your AI infrastructure absorbs knowledge over time. Where that context lives, and who controls it, is an architecture decision with real consequences.
  7. Part 07 8 min The Trust Ladder: A Framework for Calibrating AI Autonomy Not all tasks deserve the same oversight. A 5-level model for matching AI autonomy to task risk, with graduation criteria for climbing the ladder.
  8. Part 08 9 min OpenClaw and the Trust Ladder: What 145,000 Stars Tell Us About AI Autonomy OpenClaw validates massive demand for personal AI agents, but it's a case study in what happens when you skip straight to Level 4 autonomy without graduation infrastructure.
  9. Part 09 12 min Validation Hooks: The Technical Foundation for Higher Trust A deep-dive on implementing validation systems that enable climbing the trust ladder. Pre-execution gates, post-execution verification, and confidence scoring.
  10. Part 10 8 min The 2026 Roadmap: From Ideation to Building Synthesizing ten posts into concrete building priorities. What I'm actually committing to build for regulated AI work in the next two quarters.
Start with Part 1 →