Your Factory Already Solved AI's Biggest Problem

Gartner says forty percent of enterprises will retire their AI agents by twenty twenty-seven, and not because the AI failed. So what did? The governance. Deloitte has agentic AI in manufacturing going from six percent to twenty-four this year, while only thirteen percent think they have the governance to match. Gartner's Shiva Varma says enterprises treat agent governance as binary — locked down or fully trusted — and that is the root cause. So think about how your own floor actually works. Has it ever once been binary? A dispatch suggestion just appears and nobody approves it, a recipe change needs a named approver and an audit trail, and an interlock refuses no matter who is asking. Three levels of trust for three different consequences — and none of it is a policy document, it is enforced in the equipment you already run. So when the agent vendors arrive, what should you actually be asking? Not whether you trust it — what tier is this, and what enforces the tier? Now, your FabSpeak Tip of the Week. Before you scope any AI agent, write its refusal list before you write its task list. Name three things it must never do without a person, and beside each one, what actually enforces it — a policy, or a control? If your honest answer is you will tell people, you do not have a control, you have an intention. The vendors are already shipping this shape — Copilot Studio can require human approval before a specific action, and since July every new agent carries its own identity. But which tier something belongs in is your call, not theirs. So decide the consequence first, and configure it second. That's FabSpeak. Back next week — ask what enforces it.