15 July 2026
From pilot to production: what actually has to change
Most companies have already invested in AI. They have licenses, a few pilots, and a slide deck that promised results.
Writing
What we are working out in the open.
Notes on redesigning work around AI: what changes inside a task, what stays human, and what a leader actually has to decide.
18 April 2026
AI Is Not a Productivity Tool. It’s a Diagnostic for Structural Rot.
Most executive conversations about AI in 2026 start with a dangerous assumption: that the goal is speed.
18 April 2026
From Job Descriptions to Work Architecture
A practical shift from static roles to defined work systems.
18 April 2026
The Clarity Gap: The Hidden Constraint in AI Adoption
Why most organizations struggle with AI and misdiagnose the problem entirely.
18 April 2026
Why Job Titles Are Breaking in the AI Era
The abstraction layer that held organizations together is starting to collapse.
13 April 2026
The Handoff: Why Decision Architecture is the Only AI Advantage That Lasts
The market is currently flooded with a singular narrative: AI will automate your tasks. But for the modern operator, this framing is dangerously incomplete.
8 April 2026
The Great Exposure: Why AI Adoption is a Work Architecture Crisis
The corporate world is currently entering a secondary phase of technological integration that is fundamentally different from the generative AI hype cycle of…
1 April 2026
The 5 Stages of AI Inside a Company
A lot of companies think they are making progress in AI because they have bought tools, launched pilots, and trained teams.
28 March 2026
Most Companies Have an AI Plan. Far Fewer Have Redesigned the Work.
Most companies can now point to something that looks like AI progress.
28 March 2026
The Missing Layer in AI Transformation Is Human Architecture
Most AI transformation conversations still start at the technology layer. Which models should we use? Which tools should we roll out?
23 March 2026
The Quick Transformation Guide for AI-Era Teams
Most companies don’t struggle because people are unwilling to perform. They struggle because the work itself was never clearly defined.
21 March 2026
AI Has a Funding Model. In Many Companies, It’s the People Budget.
A lot of companies talk about AI as if it is purely an innovation story. It isn’t. It is also a resource allocation story.
21 March 2026
AI Isn’t Failing in Most Companies. Their Work Design Is.
Most companies think they have an AI adoption problem. They don’t. What they actually have is a work design problem that AI is making impossible to ignore.
21 March 2026
Job Architecture Just Became AI Infrastructure
For a long time, job architecture sounded like internal HR maintenance. Necessary, maybe. Strategic, rarely. That has changed.
21 March 2026
The Entry-Level Problem No One Wants to Admit
Most AI conversations focus on job loss. But one of the more important risks is quieter than that. It sits at the bottom of the ladder.
20 March 2026
AI systems need clarity. Most organizations don’t have it.
Most organizations assume AI will improve how work gets done. But AI exposes something deeper: 👉 the work was never clearly defined in the first place.
20 March 2026
Underperformance is often a workflow design problem, not a people problem
Organizations spend enormous effort: hiring better people evaluating performance managing underperformance But very little effort goes into: designing how…
20 March 2026
What companies must define before AI can actually change how work gets done
Most organizations think AI adoption is a tooling problem. It isn’t. AI systems are capable.
20 March 2026
Why AI adoption fails when roles are unclear
Most AI adoption efforts fail not because of technology, but because organizations have not clearly defined who owns what, how decisions are made, and what…