It uses concise, approved language to clarify immediacy and access to means, then follows your policy: notify on-call clinician, warm-transfer if required, and document the hand-off. If imminent risk is stated, it advises emergency services and follows your escalation tree. All interactions are logged with timestamps.

Yes. It maps symptom keywords and referral reasons to visit types and books against provider calendars that allow those services. It respects age ranges, sub-specialty tags, and insurance panels.

Valant, ICANotes, Luminello, AdvancedMD/Kareo, Athena, and SimplePractice are common. We can push demographics, eligibility notes, reason for visit, and pre-visit forms. If a system isn’t supported, we use calendar feeds plus secure task queues.

We collect payer and member details, submit an eligibility check, and store coverage notes: network status, copay/coinsurance, deductible met, and referral/pre-auth requirements.

The AI never approves meds. It gathers context, applies your policy rules (no early refills, lost med handling), and routes to the clinical queue. For stimulants/benzodiazepines, it enforces required data capture and blocks scheduling shortcuts you disallow.

Yes. It screens for criteria, books evals, triggers benefits checks, and opens PA tasks with required data fields. It also schedules treatment blocks according to your protocol templates.

It geolocates the caller’s state, matches to licensed clinicians, and offers telehealth or in-person per your rules.

PHQ-9, GAD-7, MDQ, and AUDIT-C via secure links. Scores land in the appointment notes or your EHR inbox.

HIPAA by design, AES-256 at rest, TLS in transit, role-based access, audit trails. For SUD programs, 42 CFR Part 2-aware redaction on transcripts and restricted sharing.

Typical go-live in one week: day 1 call-flow, day 3 integrations, day 5 test, day 7 production. Pricing is either per-minute or flat tier by location. We’ll model both against your call volumes.