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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March 24, 2026 — ApplicationsWhen 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.
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March 19, 2026
Governance Under Scale — Part II: Monitoring Is Not Control
In Part I, we showed that human override, when examined under scale, does not function as an external safeguard. It operates within the system itself—as a delegation surface …
March 17, 2026Agents Are Actors With Intent, Not Guarantees
“Agent” has become the default term for a new class of AI systems.
Agentic workflows. Autonomous tools. Systems that can “think” and “act.”
The language suggests something …
March 10, 2026Ghost in the Machine: Adversarial Priors in AI Systems
Large language models are often described as neutral systems that require alignment.
The idea is simple: train a powerful model on large amounts of human text, then apply …
March 2, 2026Governance Under Scale — Part I: Human Override Is Not Governance
In most enterprise AI deployments, “human in the loop” is invoked as a safety guarantee. The presence of a reviewer is assumed to transform probabilistic output into accountable …
February 24, 2026AI in Regulated Systems: Where Architecture Becomes Governance
AI is already operating inside regulated control environments.
The risk surface is larger than most teams realize.
In financial services, payments, lending, and compliance-heavy …
February 17, 2026AI Is Increasing Your Delivery Velocity — and Moving Your Problems Downstream
AI didn’t remove your architecture problems.
It moved them.
AI has increased how quickly most teams can produce working software.
Features move from idea to demo in days instead of …
February 1, 2026Dreaming Systems and the Misdiagnosis of AI Failure
Section 1: Hallucination vs. Dreaming
When an AI system produces an incorrect result, the industry almost universally labels the behavior a hallucination. The term has become a …
January 24, 2026When Inference Becomes Control
1. Observation: AI Feeding on AI Across the industry, a familiar pattern is emerging. Systems built with AI components increasingly rely on other AI systems to supervise, evaluate, …
January 6, 2026AI Is a Delivery Tool, Not a Strategy
AI is best understood as a delivery accelerator — not a replacement for architectural thinking, not a substitute for engineering judgment, and not a shortcut around discipline.