Governance-First AI: Preparing Your Agents for Production

Everyone is racing to give developers a copilot. Almost nobody is building the thing that has to exist before an agent is allowed to act: governance.

I build enterprise AI systems at PayPal — full-stack, backend-lean, leading large technical initiatives end to end. And the uncomfortable lesson from the last two years is this: the teams failing at AI adoption aren't failing on models. They're failing on architecture.

The raw model is table stakes now. What separates the teams shipping real agentic systems from the teams stuck in pilot purgatory is everything around the model — how context flows, where guardrails live, and what happens when (not if) the probabilistic parts misbehave inside a deterministic enterprise.

Here's the pattern I've converged on. I call it governance-first AI.

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