16 June 20264 min read
What AI readiness actually means for a dev team
AI readiness isn't a license count. It's whether your team can run agents on real work in production. Six dimensions tell you where you actually stand, and which gap is stalling you.

Short version: AI readiness isn't a license count, and it isn't whether your devs have tried the tools. It's whether your team can run agents on real work, in production, and trust the result. That breaks down into six things: context the agents can trust, orchestration when more than one is running, observability into what they did and what it cost, an operating model where your developers run the agents, team trust that the tools make them stronger, and governance that holds agent output to your real bar. Most teams have one or two of these and are thin on the rest. The thin area is what's stalling you.