Insights
Notes from production work
Perspectives on putting AI into enterprise systems, and keeping it there.
Articles
AI governanceThe Hard Part of Enterprise AI Is Not the ModelWhy enterprise AI succeeds or fails at the boundary between models and real systems: identity, policy, integration, governance, audit, and execution.
James MalinAI strategyWhat an Enterprise AI Center of Excellence Should Actually DoAn AI Center of Excellence should do more than publish standards. It should create the operating model, reusable architecture, governance, and delivery patterns that move AI into production.James MalinForward deployed engineeringWhy Forward-Deployed Engineering Fits Enterprise AIEnterprise AI needs engineers who can work across models, business workflows, security, data, and enterprise systems. That is why forward-deployed engineering is such a strong delivery model.James Malin
James MalinAI strategyWhat an Enterprise AI Center of Excellence Should Actually DoAn AI Center of Excellence should do more than publish standards. It should create the operating model, reusable architecture, governance, and delivery patterns that move AI into production.James MalinForward deployed engineeringWhy Forward-Deployed Engineering Fits Enterprise AIEnterprise AI needs engineers who can work across models, business workflows, security, data, and enterprise systems. That is why forward-deployed engineering is such a strong delivery model.James Malin