For practices with 3-20 providers
Your AI team caught 3 lapsed policies and a critical A1c before the first patient arrived.
Six AI employees work inside your EHR, clearinghouse, and patient portal. They verify insurance, flag abnormal labs, track referrals, and send you one Slack message with [Approve] or [Investigate]. HIPAA-compliant. BAA included.
Previous: 7.4% (3 months ago) · Significant deterioration
Diabetes management plan may need adjustment
Employer plan terminated. [Notify Patient] [Check Other Carriers]
Real examples from this morning
Here is what your AI team would have caught today
Each scenario below costs practices thousands per month. Your AI employees catch them before the first patient arrives.
Patient Karen L. had an HbA1c of 7.4% three months ago. Today's result came back at 9.2% — a significant deterioration indicating her diabetes management plan is failing. The result sits in the EHR inbox among 40 other results. The physician won't see it until tomorrow morning.
"HbA1c 9.2% (prev 7.4%). Significant deterioration. [Review Chart] [Schedule Follow-up] [Adjust Meds]"
Robert M. has a 10:30 AM appointment. His employer terminated his insurance plan on April 1. Nobody knows until he checks in and the front desk discovers it mid-visit. The visit generates an uninsured claim. The patient is upset. The practice eats the cost.
"Robert M. (10:30 AM) — coverage lapsed April 1. Employer plan terminated. [Notify Patient Before Visit] [Check Other Carriers] [Self-Pay]"
James M. has a 9:30 AM appointment tomorrow. He has missed 3 of his last 5 appointments. No confirmation received. At $200-400 per appointment slot, each no-show costs the practice real revenue and wastes a provider's time that could serve another patient.
"No-show risk: James M. (9:30 AM tomorrow). Missed 3 of 5. No confirmation. [Send Confirmation Text] [Call Patient] [Add Waitlist Backup]"
Dr. Smith accessed patient J. Thompson's chart at 11:42 PM on Saturday. There was no appointment, no on-call assignment, and no clinical reason documented. This is a potential HIPAA violation that could result in a $50,000+ fine if not investigated and documented.
"HIPAA: Dr. Smith accessed chart at 11:42 PM Saturday. No clinical reason. [Review Access Log] [Flag for Investigation] [Mark Authorized]"
How it works
Your AI employees work. You approve.
They work inside your EHR
Epic, Athenahealth, Availity. No new software to learn.
They surface decisions
Flag this lab? Notify this patient? Investigate this access? Follow up this referral?
You approve on Slack
Full clinical context + buttons. Each decision takes 5-15 seconds.
They execute
Follow-up scheduled, patient notified, referral sent. You see the next patient.
Sent 7 days ago, no specialist response. Patient has chest pain history.
Rec: Escalate to alternative cardiologist.
All due within HEDIS measure window. Current rate: 72% (target: 85%).
Your AI clinical operations team
Six employees. Six real job descriptions.
Each one replaces a hire you cannot find — or a role nobody has time for.
- Appointment scheduling and optimization
- No-show risk detection and prevention
- Waitlist management and cancellation fills
- SOAP note drafting from encounter data
- Abnormal lab result flagging
- Referral letters with full clinical context
- Real-time insurance eligibility verification
- Prior authorization tracking
- Claim denial management and coding checks
- Medication refill reminders
- Chronic care check-ins (diabetes, hypertension)
- Preventive screening reminders
- HIPAA access log monitoring
- Quality measure tracking (HEDIS/MIPS)
- Staff training compliance
- Referral submission and tracking
- Stalled referral follow-ups
- Care plan completion monitoring
A typical day
What your AI team does before the first patient arrives
The math
What you are paying now vs. what you could pay
| Role | Human hire | AI employee | What changes |
|---|---|---|---|
| Grace — Scheduling | $35-45K/yr | Included | No-show prevention, waitlist fills, intake processing |
| Claire — Documentation | $30-40K/yr | Included | SOAP notes, lab flagging, referral letters |
| Vera — Billing | $40-50K/yr | Included | Insurance verification, prior auth, denial management |
| Marcus — Communication | Nurses (5+ hrs/wk) | Included | Med reminders, chronic care, screening outreach |
| Rita — Compliance | Nobody | Included | HIPAA monitoring, HEDIS/MIPS tracking, audit prep |
| Owen — Referrals | $35-45K/yr | Included | Referral tracking, specialist follow-ups, care plans |
| Total | $150-200K/yr + nurse time | Fraction of the cost | 30-45 hrs/week back |
An EHR add-on module
Epic MyChart, Athenahealth Portal — they add features to your EHR. You still navigate, click, decide, and document. Every day.
A dictation tool
Nuance DAX and Abridge transcribe. That is one function. Documentation is 20% of practice admin.
AI employees who do the work
Six employees, six roles, daily deliverables. They verify insurance, flag labs, track referrals, monitor compliance. You approve and see patients.
Works inside your existing clinical tools
Frequently asked questions
Are your AI employees HIPAA compliant?
Yes. Every Bitontree healthcare AI employee is HIPAA compliant. We execute Business Associate Agreements (BAAs) before deployment, encrypt all PHI at rest (AES-256) and in transit (TLS 1.3), maintain SOC 2 Type II compliance, and redact PII/PHI before LLM processing. Rita continuously monitors EHR access logs for compliance violations. All actions are logged in a HIPAA-compliant audit trail retained for 7 years.
Does the AI write clinical notes directly into Epic?
Yes. Claire integrates bidirectionally with Epic via FHIR APIs. She pre-charts patients with medication lists and care gaps, structures clinical documentation into SOAP format during ambient listening, suggests ICD-10 codes with laterality specificity, and stages notes in Epic for clinician review and signature. No note is auto-finalized — every document requires clinician sign-off.
How does scheduling and no-show prevention work?
Grace manages the full appointment lifecycle. She sends personalized, context-aware reminders (not generic texts) that include visit-specific instructions — parking for new patients, fasting requirements for labs, medication list updates for chronic care. She predicts no-show risk using 12-month attendance history and fills cancellations from the waitlist within minutes. At deployed practices, no-show rates drop by 35%.
Does the AI provide medical advice to patients?
No. This is a strict clinical governance boundary. No Bitontree AI employee provides medical advice, interprets symptoms, suggests medication adjustments, or makes clinical triage decisions. Marcus sends medication reminders and tracks adherence, but all clinical decisions route to the prescribing physician. Claire suggests ICD-10 codes but the provider makes all coding decisions.
How is patient data (PHI) protected?
PHI is encrypted at rest (AES-256) and in transit (TLS 1.3). Before any data reaches the language model, PII and PHI are redacted — the AI processes de-identified clinical context. Raw audio from ambient listening is not stored after Claire completes transcription. Access follows the HIPAA minimum necessary standard. Rita monitors all access patterns for anomalies.
How long does deployment take for a healthcare practice?
A typical 6-employee healthcare deployment takes 8-12 weeks. Phase 1 (Workforce Discovery, 2 weeks) maps your clinical workflows, EHR configuration, and payer mix. Phase 2 (Build & Deploy, 6-10 weeks) deploys employees incrementally — typically starting with Grace (scheduling) and Vera (billing) for fastest ROI. Phase 3 is ongoing management with monthly performance reviews.
Can AI employees verify insurance and handle prior authorizations?
Yes. Vera runs batch 270/271 eligibility checks via Availity at 6 AM daily for all patients scheduled within 48 hours. She confirms copay amounts, deductible status, and in-network status. For prior authorizations, Vera submits requests via CoverMyMeds, tracks approval status daily, and escalates denials with recommended next steps. Prior auth turnaround drops from days to hours.
Will AI employees replace our clinical staff?
No. AI employees handle administrative tasks that consume 40%+ of staff time — documentation, scheduling, insurance verification, reminder calls, referral tracking, and compliance monitoring. Your clinical team still makes every decision requiring medical judgment, patient empathy, or clinical expertise. In practice, staff report higher satisfaction because they focus on patient care instead of data entry and phone calls.
What EHR systems do you integrate with?
Bitontree healthcare AI employees integrate bidirectionally with Epic (via FHIR) and Athenahealth. For billing, we integrate with Availity and Change Healthcare for 270/271 eligibility and ERA/835 remittance. CoverMyMeds handles prior authorization submission and tracking. Klara manages HIPAA-compliant patient communication. All integration is read-write within your existing EHR workflow.
How does medication adherence and patient outreach work?
Marcus sends personalized medication reminders via SMS and voice based on each patient's prescription schedule. He runs chronic care check-ins for CCM patients, tracks adherence patterns, and escalates immediately if a patient reports side effects or intent to stop a medication. He also identifies patients overdue for preventive screenings (mammograms, colonoscopies, HbA1c tests) and sends outreach with scheduling links.
How does the AI handle claim denials?
Vera analyzes denial reason codes (CO-4, CO-16, CO-197, PR-1), identifies root causes (missing modifier 25, incorrect NPI, lapsed prior auth, medical necessity), and either auto-corrects and resubmits clean claims same-day or escalates complex denials to your billing manager with a full analysis and drafted appeal letter. Common denials like CO-4 and CO-16 are fixed and resubmitted automatically.
How does HIPAA compliance monitoring work?
Rita scans EHR access logs daily for unusual patterns: after-hours access by administrative staff, billing personnel accessing clinical notes outside their role scope, bulk record downloads, and access to non-assigned patients. Each flag includes the specific user, timestamp, record accessed, and HIPAA risk classification. Rita also tracks staff training certifications, quality measures, and generates audit-ready documentation packages on demand.
How does referral tracking improve completion rates?
Owen tracks every referral from the moment the provider places the order to the moment the consultation note is filed back in the chart. He identifies in-network specialists, submits prior authorizations via CoverMyMeds, transmits clinical records, confirms patient scheduling, and follows up on stalled referrals. Urgent referrals stalled beyond 5 days with concerning patient history trigger immediate provider notification. Completion rates improve from 71% to 94%.
Does the AI help with HEDIS and MIPS quality measures?
Yes. Rita tracks all relevant HEDIS and MIPS measures in real time — Comprehensive Diabetes Care (HbA1c control), Controlling High Blood Pressure, Breast Cancer Screening, Colorectal Cancer Screening, Tobacco Screening & Cessation, and Depression Screening. She calculates current rates, identifies specific patients creating gaps, and generates gap closure action lists for the care team. Marcus sends outreach to patients overdue for screenings.
How much do AI employees for healthcare cost?
Bitontree Workforce pricing is per-employee, not per-provider or per-patient. A typical 6-employee healthcare deployment replaces $150-200K in annual salary costs (front desk coordinator, medical scribe, billing coordinator, referral coordinator) plus recovers revenue from reduced denials and filled no-show slots. Deployment starts with a Workforce Discovery engagement. Contact us for a custom quote based on your practice size and provider count.
Your first hire takes 15 minutes
Book a Workforce Discovery session. We map your practice workflows and show you which AI employees would have the biggest impact. HIPAA-compliant. BAA included.