Patients served
AI Receptionist
AI Triage Nurse
AI Scribe
AI Triage Nurse
AI Medical Coder
AI Consultant
AI Nurse
Reads from and writes to your EHR, billing, and scheduling tools. No new systems to learn, no data migration.
Reads and writes to the chart
Notes, codes, and orders are pushed directly to the patient record. Nothing sits in a separate tool waiting to be moved over.
Patient Review Summary
Wait Time
Variable
Scheduling
Accessible
Staff
Professional
Communication
Clear
Created by Sully AI on Feb 20, 2025
Embedded inside Tebra
44,000+ clinicians already work through Sully
without leaving the workflow they know.
36 specialties and 30+ languages, covered around the clock without adding headcount.
LIVE INTERPRETATION
14:08 elapsed
English ↔ Spanish
Patient
Maria Rodriguez
Visit type
Acute
CLINICIAN · 13:51
Have you taken anything for it?
¿Ha tomado algo para el dolor?
PATIENT · 14:08
Sólo agua. No tengo medicina en casa.
Just water. I don't have any medicine at home.
ROOM 02
ROOM 04
ROOM 07
EN ↔ Spanish
ROOM 09
ROOM 12
Any patient. Any language
Real-time interpretation across patient calls, SMS, and in-person visits in 30+ languages
36 specialties. Tuned per role
Templates, codes, and workflows shaped to how each specialty actually documents
When and how your data interacts with AI is defined by you within the workflow.
IF
Action
IS
EHR write-back
THEN
Route to
Attending sign-off
IF
Code edit
AMOUNT
> $500
THEN
Route to
Compliance reviewer
IF
Role
IS
Resident
THEN
Require
Attending co-sign
You set who approves what
Approval rules are yours to configure. Write-backs need attending sign-off, code edits above a threshold go to compliance, residents require co-sign. All of it routes automatically.
Audit log
1,247 today
Dr. M. Patel
Note signed
Chart 4f2a
14:32:08
Dr. R. Cho
EHR write-back
Chart 81e7
14:31:42
A. Singh, RN
Coding lookup
F33.1
14:30:19
L. Reyes
Code override
Chart c9b2
14:28:55
J. Kim, MD
Chart accessed
7a89
14:27:01
HIPAA and SOC 2 compliant
Built for healthcare compliance from day one. Every action is logged automatically, so your audit trail is always current without anyone maintaining it.
Every case goes through multiple specialist models. They each weigh in. The final answer reflects consensus, not just one model's best guess.
vs 53% o3-high
Accuracy on MedXpertQA, the hardest clinical reasoning benchmark
MedQA accuracy — top score across all models tested
Improvement in top-1 differential diagnosis accuracy over o3-high
How the consensus works
Case is triaged and routed to
relevant specialist models
Each model returns an answer with a confidence distribution
A consensus model weighs outputs and produces one calibrated result
TRIGGER
Patient has an appointment tomorrow.
AI Triage Nurse
Calls the patient the night before, collects symptoms, history, and current medications via a 15-minute structured conversation
AI Scribe
Pre-populates the patient chart from the triage call
Doctor
Walks into the room with a complete chart. No intake forms. No repetitive questions.
AI Scribe
Continues capturing the live consultation, building on what Triage collected
OUTPUT
Doctor fully informed before entering the room. 2+ hours of daily prep time eliminated.
TRIGGER
Consultation ends.
AI Scribe
Finalises the structured clinical note
AI Coder
Reads the note, extracts every ICD-10 and CPT code — including ones the physician did but didn't explicitly state
AI Coder
Flags any documentation gaps that would trigger a denial
Billing System
Clean claim submitted. Zero human touch.
OUTPUT
Denials caught before submission.
TRIGGER
Doctor says "Let's schedule a follow-up for end of March" during the consultation.
AI Scribe
Captures the instruction in the clinical note in real time
AI Receptionist
Texts the patient with available slots within minutes
Patient
Replies to confirm
EHR
Appointment created automatically. Doctor never touches a keyboard.
OUTPUT
Follow-up booked before the doctor sees the next patient.
TRIGGER
Patient misses their appointment and hasn't rescheduled.
AI Scribe
Has a record of when the patient was told to return
AI Receptionist
Detects the no-show, sends an outbound text: "Hey, we haven't seen you in a while. Let's get your next visit scheduled."
AI Triage Nurse
If the patient responds with symptoms, collects intake and flags urgency
AI Receptionist
Books the next available slot, confirms with the patient
OUTPUT
$200k recovered from previously missed appointments for a client.
Implementing ISO 27001 information security controls across EHR systems with real-time monitoring and compliance reporting.
Delivering continuous monitoring and automated evidence collection for SOC 2 Type II audits across different EHR environments.
Ensuring HIPAA compliance through encryption, access controls, and audit logging across EHR integrations.
Maintaining comprehensive data governance controls for Personal Data Law compliance across EHR systems.
Providing GDPR-compliant data processing with automated data mapping, consent management, and data subject request tools for EHR systems.
Meeting Canadian privacy requirements through automated privacy assessments and consent tracking across EHR platforms.
Less cognitive load. Fewer clinical errors. Less administrative overhead.
