Production AI.
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Why forward-deployed engineering is rising in 2026
Why AI companies need forward-deployed engineers in 2026: the hard part of AI moved from the model to production, and someone has to own that gap. -
How enterprises use forward-deployed engineering to move AI from pilot to production
How enterprises use forward-deployed engineers to take AI pilots to production: who they work with, what they own and how the security review gets done. -
From AI pilot to production: the path, the gates and the owners
AI pilot to production in four stages, each closed by a written gate with named owners who sign it. The path, the gates and who owns each one. -
Forward-deployed engineering: what it is, how it works and when you need it
Forward-deployed engineering moves an AI system from pilot to production: senior engineers work with your teams, own the path and stay until it runs. -
Why do AI pilots stall, and what moves them to production?
Why do AI pilots fail? Most stall on five open decisions: integration, security review, measurement, approvals and ownership. Here is what moves them. -
AI production readiness checklist: define production for an AI system on one page
An AI production readiness checklist starts with one signed page that defines production: scope, criteria, evaluation, security, approvals and go-live. -
Forward-deployed engineer vs solutions engineer: what each one owns
Forward-deployed engineer vs solutions engineer: one helps win the deal, the other owns getting the AI system into production. Who owns what, side by side. -
How a forward-deployed engineering engagement works, week by week
A forward-deployed engineering engagement moves an AI pilot to production in four phases, each closed by a written gate. What happens, week by week. -
What is a forward-deployed engineer?
What is a forward-deployed engineer? A senior engineer who works directly with your business and technical teams to move an AI system from pilot to production.