Most companies now have an AI policy. Very few can show it working.
Teams ship code with agents in days, but review, testing and approvals still run at human speed… and nobody is sure who is allowed to decide what. Proof in the Pipeline is where I work that out in public: AI governance shown working where the code ships, not promised in a PDF.
So why is this so hard to fix? Because it’s a three-body problem. Architecture, teams and AI capability keep pulling on each other… move one and the other two move with it (hello, Conway). You steer all three together.
Where to start
The idea: Steer, don’t sequence. Architecture, teams and AI capability pull on each other like three gravitating masses, so you steer them, you don’t sequence them.
Where the bottleneck went: Your bottleneck doesn’t burn tokens and More shipped, same typing. AI sped up the step that was already fast; the numbers show where the queue moved.
Governance in the pipeline: Who reviews the reviewers?, Prove it before it runs and Nobody owns the policy. Where the gate sits, and who owns which rule.
Teams and agents: Conway’s law has a new employee, the start of the series on agent topologies as org charts.
Who’s writing: I’m Thiago de Faria, a data and AI architect who still writes the code, running TilinTheCloud from the Netherlands. More on the About page.
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