Forget the marketing. Here's what a governed healthcare agent's day looks like from the workflow engine's point of view — the states it moves through, and where the gates are.
09:02 — ingest + draft. New task enters the queue. RAG over the encounter docs + coding guidance produces a proposed decision with a citation per line item. State: drafted. No side effects yet — the agent can't submit.
09:04 — human gate. The action is tagged irreversible/compliance-bearing, so the workflow halts at a durable interrupt and routes to a named approver (a certified coder). State: awaiting_attestation. It resumes only after sign-off.
midday — throughput. Routine tasks flow through the same path; the citation requirement is enforced at the output layer, so anything without a grounded source is rejected before it reaches the gate.
14:15 — escalation. Below-confidence or ambiguous cases short-circuit to needs_human with a structured note on what's unclear — not a silent best-guess.
17:00 — audit. Every transition is written append-only: input seen → retrieval → proposal → approver → outcome. "Who decided this" is a query.
The architecture is the product here. We ship it as governed healthcare AI agents at IntelliBooks Studio — more at intellibooks.ai/overview.
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