The Point of AX Is Transformation, Not AI
Why enterprise AX stalls, what practitioners actually need, and why organizational context matters more than another model.
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AX
AI transformation across processes and operating models.
Research
AWS Is Hiring FDEs. But Can You Hire Your Way Into an FDE Organization?
What hyperscalers and Palantir reveal about customer-to-product loops and accumulated learning
A framework for evaluating whether hyperscaler FDE teams can turn field discoveries into reusable products, with Palantir as the counterexample that makes the thesis testable.
Read article ↗FDE Economics: What Wonderful and Reflection Need to Prove
Field engineering becomes software economics only when today’s deployment makes the next one cheaper and faster
A private-market analysis of Wonderful's labor leverage and Reflection's challenge of turning open intelligence into capital and distribution leverage.
Read article ↗Who Disappears First: The AI Team or the Business Teams?
As agents take on more work, which team changes first? A task-level view of how enterprise AI may reshape both builders and business practitioners.
Read article ↗Why Enterprise AI Transformation Should Start Narrow
General-purpose AI is a Swiss Army knife; enterprise AX is a purpose-built blade. A Market Intelligence case shows why transformation means redesigning work, not automating it.
Read article ↗Perspective
The Future of AX: When Domain Experts Become Software Owners
From a Dentist’s AI Stack to the Reinvention of Enterprises and Private Equity
If AI changes the economics of software and technical debt, how might domain expertise, organizational design, mid-market firms, and private-equity value creation change with it?
Read article ↗Why Our Agent Platform Got Off to a Rocky Start
From a convincing demo to a predictable production system
Our agent platform worked in demos but stumbled in production. A retrospective on predictability, trust debt, and earning abstractions through deployment.
Read article ↗Do Agents Have to Be Graphs? Why I Am Removing LangGraph from My Default Stack
From prescribing every route to designing the environment and boundaries around an agent
After building a multi-agent research system with LangGraph, I am rethinking where explicit graphs belong as models choose more of their own execution paths.
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