The AI Moat Is Moving Into the Field
The model is no longer the whole product Most enterprises can access powerful models. Far fewer can take a messy frontline problem, connect it to real data and systems, redesign the workflow, satisfy security and governance, earn user adoption, and keep the result working as the business changes. That gap explains one of the clearest signals in enterprise AI: forward-deployed engineering is moving from a startup tactic to an institutional capability. OpenAI launched a deployment company. AWS committed a billion dollars to embedded engineering. IBM is scaling Forward Deployed Units. Accenture and Google Cloud are hiring for the role directly. The market is telling us where the bottleneck moved. Strategy and delivery are collapsing into one team The old transformation model separates diagnosis, strategy, architecture, implementation, and operations. Every handoff loses context. That is especially dangerous with AI because a compelling prototype can hide the difficult work: evaluation, pe...