Strategic perspectives on enterprise AI, technology architecture, and the decisions that shape how organizations adopt and operate intelligent systems.
Foundation models are commoditized; the model is no longer the hard part. Enterprise AI stalls on integration — wiring models into systems of record efficiently, without a runaway token bill. Most pilot failures trace back to architecture, not model capability.
ReadMost GenAI pilots work in isolation. Scaling to production agents requires integration into legacy systems that were never designed for modern AI.
Read on LinkedInArguing for small composable services before 2010, well before microservices had a name. The technical case was only half the story — the other half was making engineers run what they built.
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