RCM automated for Behavioral Health.

Zero-touch Agentic Workflows

See how AI Agents recover uncollected revenue, accelerate insurance verification, and streamline patient intake without you lifting a finger.

Interface showing missed and ongoing calls with phone numbers, an insurance details panel for Graham Monlt including copay, deductible, and out-of-pocket costs, a section to add rules with one rule defined, and logos of healthcare software providers with an AI agent named Sophia.

Try it for your practice

Unmatched Outcomes

97%

Accuracy on clinical & demographic data

~60%

FTE bandwidth
saved

$500K

Added collections
in 4 months

Faster payment. Stronger compliance. Higher margins

AI agents designed specifically for Behavioral Health to work seamlessly with lean staffing, shifting reimbursements & infinite documentation sources.

Portrait of a smiling female healthcare worker wearing blue scrubs and a surgical cap.

Sarah, AI Agent

Coordinating Intake

Sarah handles missed calls and new leads instantly. Automates call-backs, appointment booking, and patient hand-offs.

Calls Patient

Book Appointments

Executes intake

Phone call log with missed calls from four numbers and an incoming call from Sam at 753-452-2252, plus a notification indicating collection of patient data for Mike Johnson, 34 years old.

Smiling woman with curly hair wearing a white collared shirt against a neutral background.

Susan, AI Agent

Eligibility & Benefits

Susan checks eligibility before every appointment, flags network status, and projects patient responsibility to prevent revenue roadblocks

Checks Eligibility

Detects if insurance is active

Sets up patient responsibility

Healthcare summary card for Grahim Monlt with Medicare coverage, showing copay $0, deductible $678, out-of-pocket $10,000, in-network status, and dependent status, supported by AI agent Susan and linked to EHR systems.

Smiling man with short hair and beard wearing navy blue medical scrubs against a beige background.

Steve, AI Agent

Prior Authorization

Runs benefits checks across 3000+ payers, flags auth needs, and builds packets

Detects need of Prior-auth

Ready-to-send claims

Stepwise process showing MRI scan pre-authorization: Susan checks the need for pre-auth with BlueCross, identifies medical feasibility with patient chart ready, then sends documents to BlueCross; approval shown for Kevin Morocco, 34 years old.

Portrait of a female medical professional wearing a white coat and stethoscope against a teal circular background.

Selena, AI Agent

Appointment Scheduling

Selena schedules appointments and manages cancellations, fills empty slots, and maximizes appointment capacity with no missed opportunities.

Receives calls

Finds an empty slot

Books appointments

Portrait of a female doctor wearing a white coat and stethoscope, looking at the camera.

Sage, AI Agent

Charge Review

Sage codes and analyzes every claim as soon as visit notes are added in your EHR, and fixes any coding errors - ensuring 95%+ first-pass clean claims.

Imports charges

Applies saved rules

Provides suggestions

Interface showing agent rules for CPT code modifier -25, a data table with ICD10 code suggestions and status synced, and an EHRs integration icon with user Sophia.

Partial medical billing form showing patient Anthony Mark, service date 04/12/2025, diagnosis code F33.22, a modifier input error with correction from 58 to 25, CPT code 99417, and chat support from Sophia.

Male healthcare professional in light blue scrubs with a stethoscope around his neck, against a muted pink background.

Sean, AI Agent

AR and Payment Posting

Sean monitors charges and EOBs in real time, interprets CARC codes, reconciles payments and write offs, and flags mismatches between approvals and bank deposits to prevent denials.

EOBs imported

Flags mismatch in payer payments