AI drafts the paperwork. People approve every word.
Automation in behavioral health is drawing deserved scrutiny. Our answer is structural, not rhetorical: AI drafts payer documents, a named human reviews and approves every one, and nothing is ever submitted to a payer without a person deciding to send it.
Book a workflow demoDrafting scope, full stop
AI drafts payer documents: appeal letters, prior-authorization packets, and benefits summaries. It assembles evidence and language for a person to review. That is the entire job description.
A named human approves every draft
No draft is finished until a named member of your team has reviewed and approved it. The reviewer and the approval time stay attached to the case.
Nothing is auto-submitted to a payer
The system never files an appeal, submits an authorization request, or sends anything to a payer on its own. Submission is always a human action, every time.
No diagnosis, no treatment recommendation
Drafts are built from documentation your team supplies. The system never assesses symptoms, suggests a diagnosis, or recommends a level of care.
Approved source material only
Drafts cite the clinical documentation, payer policies, and templates your team provides and governs. Where evidence is missing, the draft flags the gap instead of improvising.
No patient data today
The workspace currently runs on demo-safe labels, not patient identities. PHI enters the product only after the production readiness review — encryption at rest, role-based access, and audit trails — passes.
Continuous oversight
- A named reviewer approves every draft before it is used
- Draft, edit, and approval history stays attached to the case
- Payer-facing submission is always a human action
- Reviewer corrections feed future draft improvements — design commitment for future releases
- Draft quality tracked against payer outcomes — design commitment for future releases
- AI vendor and data-use policies documented for customer review
Want the operational detail (review checkpoints, drafting sources, model policies)? We walk through all of it in the demo.
Book a workflow demo