Use cases

The work that cannot ship without evidence.

Plenty of teams can put a language model in front of a customer. The hard part in a regulated industry is everything after that: proving what the agent was allowed to do, what it actually did, who reviewed it, and that the version you shipped passed its worst cohort before release. These pages describe the use cases where that burden decides the architecture, and how the same set of controls covers each one.

Every use case below runs on the same primitives: agents declared as YAML plus Markdown, your own APIs registered as typed Python tools, guardrails enforced as config on every step, a hash-chained audit trail, human handover with a resume path, and eval cohorts that gate the release. Nothing leaves your network.

Banking & lending

High interaction volume, hard conduct rules, and a supervisor who will eventually ask for the transcript.

Beyond banking

The same evidence problem shows up wherever an automated decision touches a person's money, health, or service.

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Use cases describe the shape of the problem. Playbooks give you the working code for a specific channel or control, and the blog covers the regulatory and architectural background. Start anywhere; they link into each other.