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AIJun 2026

Governance is a systems problem, not a policy problem

Policy documents don't stop a model from leaking PII at 2 a.m. Runtime enforcement does. What governed-by-design actually means in production.

A lattice bringing scattered particles into ordered alignment

Every enterprise now has an AI policy. Very few have AI governance — because a policy PDF cannot intercept an inference call. The gap between the two is where the incidents live.

Governed-by-design means the controls are in the request path: redaction before the model sees the prompt, evaluation gates before a prompt change deploys, an audit record for every retrieval and tool call. If the control can be skipped under deadline pressure, it is not a control.

This is precisely the architecture we productized in Algoryq Mind, and the pattern holds regardless of vendor: put governance where the requests are, and the policy document becomes documentation of what the system already enforces.

Put this thinking to work.