Healthcare ยท persona
Outpatient or residential treatment program. Intake + insurance verification + family/referent coordination + alumni follow-up. Census-driven economics.
A day in the life
A treatment center's economics live or die on census. Every empty bed is a fixed-cost loss. But intake is messy: a person in crisis (or their family member) reaches out at 11pm, often through Google search, often with insurance the program may or may not be in-network for, often with co-occurring conditions that determine fit.
The traditional intake workflow loses 60-70% of inquiries between first contact and admission. An AI layer doesn't replace the human intake counselor, it removes the friction in the first 24 hours so the counselor's first conversation is high-context.
What the AI does: respond within 90 seconds at any hour with a calm, scope-appropriate message; collect non-clinical intake info (insurance, location, who's reaching out, immediate safety check); pre-verify insurance; flag fit/no-fit signals (level of care, co-occurring conditions, preferred modality); route to the on-call human for any safety concerns or complex clinical questions. By the time the intake counselor talks to the family at 8am, they have a complete pre-screen and can spend the conversation on what matters: connection, fit, and next steps.
Downstream: family communications during the program (without breaching client privacy), discharge-planning workflow, and alumni outreach to support long-term recovery.
The behavioral health treatment center playbook
Out of the full Healthcare catalog, these are the ones a behavioral health treatment center should run first.
Front-of-house & first contact
Web-form or SMS-driven structured intake collecting demographics, insurance, presenting concern, medical history, consents, emergency contact, and pharmacy. Lands as a clean summary in the clinician's queue before the patient arrives.
Insurance, billing & administrative
Pre-appointment, the system checks eligibility, deductible, annual maximum, remaining benefits, waiting periods, and coverage for the planned procedures. Organizes the result into a one-screen summary the team can verify at a glance.
In the wild
Alumni follow-up is the workflow most treatment centers say they want to do but never actually do, because it requires consistent monthly outreach to hundreds or thousands of former clients with no immediate revenue payoff. AI makes it actually happen.
The workflow: every discharged client enters an alumni cohort. At configurable intervals (30/60/90 days, 6 months, 1 year, anniversary) they receive a check-in message, never clinical, always supportive. Responses are triaged: "doing well" gets a brief warm reply; "struggling" gets routed to the alumni coordinator within 1 hour; "in crisis" triggers an immediate human escalation. Self-reported relapse risk gets routed to clinical team for outreach.
The payoff is dual: clinical (better long-term outcomes for graduates) and operational (the strongest source of new admissions for any treatment center is alumni and alumni's families).
A treatment center with 400 active alumni typically sees 2-4 readmissions/quarter directly attributable to alumni outreach plus 4-8 new admissions/quarter from alumni referrals.
Tell us your practice size, PMS, and the one thing that breaks most often. We'll come back with a written map of which 5-7 automations matter first, what the rollout looks like, and what the first 30 days would change.