The Regulated AI Stack

The Regulated AI Stack

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

10 published · 88 min total read · Last updated

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. 1

    The Compliance Tax: Why Your AI Productivity Isn't 10x (And Why That's Okay)

    · 7 min read

    Challenging the '10x productivity' marketing narrative. What regulated workers actually experience, and why 3x is still transformational.
  2. 2

    Your AI Toolkit is Probably Illegal

    · 9 min read

    A compliance audit framework for AI tools in regulated industries. Most workers are unknowingly creating liability—here's how to assess your risk.
  3. 3

    The Reference Architecture: A 4-Layer Approach to AI Tooling

    · 10 min read

    Moving beyond product recommendations to architectural thinking. A framework for organizing AI tools with appropriate boundaries and context flow controls.
  4. 4

    Non-Human Identities: When AI Agents Need Employee Badges

    · 8 min read

    AI agents acting autonomously need identity, just like human employees. Exploring what Non-Human Identity means for regulated environments.
  5. 5

    The Agent Impersonation Problem: When AI Commits Code as You

    · 9 min read

    When Claude Code commits, it's 'you' in the audit log. Exploring the identity crisis at the heart of AI-assisted development.
  6. 6

    The AI Context Portability Problem

    · 8 min read

    Your AI infrastructure absorbs knowledge over time. Where that context lives—and who controls it—is an architecture decision with real consequences.
  7. 7

    The Trust Ladder: A Framework for Calibrating AI Autonomy

    · 8 min read

    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. 8

    OpenClaw and the Trust Ladder: What 145,000 Stars Tell Us About AI Autonomy

    · 9 min read

    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. 9

    Validation Hooks: The Technical Foundation for Higher Trust

    · 12 min read

    A deep-dive on implementing validation systems that enable climbing the trust ladder. Pre-execution gates, post-execution verification, and confidence scoring.
  10. 10

    The 2026 Roadmap: From Ideation to Building

    · 8 min read

    Synthesizing ten posts into concrete building priorities. What I'm actually committing to build for regulated AI work in the next two quarters.