Governed Agentic Harnesses: A Control Architecture for AI in Regulated Finance
Systems of this kind fail in regulated environments not because the models are weak, but because nothing in the architecture is entitled to say no. This paper sets out the control pattern we build on: supervisor orchestration, typed artifacts, deterministic gates, and provenance invariants that hold whether or not the model behaves.
A control architecture that only works when the model behaves is not a control architecture.
The gates, the typed contracts and the audit record are built to hold under a wrong answer, not merely to describe a right one. That is the difference between a demonstration and something a bank can put into a shadow run.
The harness pattern is published as Pyligent Agents — the orchestration framework, the agent contracts and the governance kernel — released so the architecture can be reviewed rather than taken on trust. Cloning it does not produce a collateral service; it produces the control plane one would have to run inside.