Running AI agents in regulated environments

Banks and healthcare operators rarely object to autonomy in principle. They object to systems that cannot explain themselves after the fact.

We instrument every agent with a structured trace: inputs, retrieved context, tool calls, rejected actions, and the final decision. Traces are retained on the same schedule as the underlying records, so an investigation never depends on model vendors.

Guardrails stay deterministic. Policy checks run as code, not as prompt instructions, and an agent that cannot satisfy a check escalates rather than improvises.

Finally, every deployment defines its human escalation path up front — who is paged, within what window, and with what authority to halt the agent.