One post tagged with "platform-engineering"

Most engineering organizations discover the problem the same way: AI demos go well, leadership pushes for broader adoption, and someone decides the right answer is a dedicated team to own "AI infrastructure." The team gets headcount, a roadmap, and a mandate to accelerate AI across the organization.

Eighteen months later, product teams are filing tickets to get their prompts deployed. The platform team is overwhelmed. Features that took days to demo are taking quarters to ship. And the team originally created to speed up AI adoption has become its primary bottleneck.

This is the centralized AI platform trap — and it's surprisingly easy to fall into.