Enterprise Architect — Systems, Governance, and Engineering Organizations
Architecture is a practice, not a diagram.
Most architectural failure isn’t dramatic. It accumulates quietly — in deferred decisions, implicit assumptions, and systems that work until they have to explain themselves.
I focus on the discipline of building systems that remain knowable and changeable as they grow. The writing here examines where that discipline holds, where it breaks, and what it costs when it doesn’t.
Applications — practitioner diagnostics. Theory — foundational work, longer horizon.
I take a small number of fractional advisory engagements. Advisory →
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September 9, 2026 — ApplicationsTransformation Under Scale — Part II: Transform the Company, Not the Technology
Part I of this series turned the company’s objectives into constraints and held them over the estate. That is where a transformation starts, but it is not the first decision …
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September 2, 2026
Transformation Under Scale — Part I: Constrain the Possible, Not the Ideal
When a transformation begins, the instinct is to draw the target: a clean picture of the system as it should be, planned backward from. Over an existing estate, that is the wrong …
August 24, 2026Governance Under Scale — Part IV: Model Selection, NAIC, and the Crosswalk
Every framework that now governs enterprise AI asks the same question, and none of them ask it of the model. NAIC, NIST, ISO, the EU, and the bank regulators want to know whether …
April 24, 2026Governance Under Scale — Part III: Revocation and the Reachable Decision Surface
Part II separated visibility from control. A system can observe its own drift, make its behavior legible, and surface deviation across time and risk class, and still not be …
March 24, 2026When AI Systems “Dream”: A Failure of Architecture, Not Models
A surprising number of AI failures in production are not hallucinations. They are systems behaving correctly inside the wrong structure.
March 19, 2026Governance Under Scale — Part II: Monitoring Is Not Control
Part I established that human override is not an external safeguard. It operates inside the system, as a delegation surface through which authority expands when it is not …
March 17, 2026Agents Are Actors With Intent, Not Guarantees
I was at dinner with one of the people who wrote the book on the actor model, over Chinese food, one of his favorites, when he asked me what an agent was.
I had been turning the …
March 10, 2026Ghost in the Machine: Adversarial Priors in AI Systems
Large language models are usually described as neutral systems that require alignment. The premise is simple: train a model on a large corpus of human text, then apply guardrails, …
March 2, 2026Governance Under Scale — Part I: Human Override Is Not Governance
In most enterprise AI deployments, “human in the loop” is treated as a safety guarantee. Put a reviewer in front of a probabilistic system and its output is assumed to become …
February 24, 2026AI in Regulated Systems: Where Architecture Becomes Governance
AI is already operating inside regulated control environments, and the risk surface is larger than most teams realize.
February 17, 2026AI Is Increasing Your Delivery Velocity While Moving Your Problems Downstream
AI did not remove your architecture problems. It moved them.
AI has increased how quickly most teams produce working software. Features move from idea to demo in days instead of …
January 24, 2026When Inference Becomes Control
By the end of 2025, the fix for an unreliable agent had a shape, and the shape was more agents. The diagrams were everywhere: a supervisor agent checking a worker, an evaluator …
January 6, 2026AI Is a Delivery Tool, Not a Strategy
AI is a delivery accelerator, not a replacement for architectural thinking or a substitute for engineering judgment.