Run any agent inside an enforced, auditable process contract — conversational assistants, copilots, and autonomous workflows — grounded in your real systems of record. Prevention, not detection.
Appointments are read from the practice's booking systems and appended into its own calendar under an enforced contract: every write is checked against the destination before it runs and verified against it afterwards, so a duplicate or an unverifiable entry blocks instead of landing in the record.
We are in stealth, so the practice is not named yet — and it is one practice, not a customer base. That is the whole list.
Declare each step's preconditions, tool allowlist, approvals, and postconditions. The runbook is the guarantee.
Checks evaluate against your real system of record — ERP, CRM, calendar, FHIR — never the model's claim.
Only declared tools are callable per step. Everything else is refused — enforced twice, defense in depth.
Risky actions block on human sign-off via CLI, webhook, or queue before anything runs.
Every run is an append-only episode log plus OTEL spans. Replay any run deterministically.
Wrap LangGraph, a raw LLM, or MCP behind one adapter. The agent is a plugin; the runtime governs it.
A failed precondition blocks before any tool runs; a failed postcondition rejects the outcome — even if the agent claims success.
Write the runbook: ordered steps, pre/postconditions, tool allowlists, approvals.
Bind each check to your real system of record — ERP, CRM, calendar, FHIR, APIs.
The runtime blocks unsafe actions, rejects ungrounded outcomes, and traces every run.
Teams shipping to production.
Placeholder pricing — tiers and prices are not final.
Free for local development. Pay only when your agents go to production.