Sully.ai’s AI Agent medical team automates patient intake, transcribes conversations into clinical notes, suggests diagnoses & treatment and assigns billing codes
Product Category
Healthcare Operations and Automation
Product Subcategory
AI Functions
Doctor-LM that personalizes responses and tools to each clinician’s voice and preferences
Ambient AI scribe that converts conversations to structured clinical notes and summaries
Decision-support suggestions that surface relevant guidelines without directing clinical action
AI Receptionist and Triage Nurse to answer inquiries, qualify, and schedule patients
AI Coder and Pharmacy Tech to assist with coding suggestions and medication workflows
EMR-aware agents that learn over time and connect with major systems
Product Core Functions
Sully.ai packages an “AI team” that covers the most time-consuming moments in an ambulatory visit. At the point of care, the ambient scribe captures the encounter and drafts a clean progress or SOAP note. Doctor-LM adapts to the provider’s style so recurring phrases, counseling language, and plan structure remain consistent. During and after the visit, decision-support hints surface context and references while leaving final judgment to the clinician.
Front-office automation runs in parallel. An AI Receptionist answers calls and messages, handles common questions, and books appointments. A Triage Nurse agent collects basics, routes urgent issues, and prepares the chart. On the revenue side, an AI Coder translates documented assessment and plan into suggested codes with rationale, while a Pharmacy Tech agent helps with medication follow-through.
Everything sits on top of existing systems. Sully highlights interoperability with Epic and athenaOne, so clinics do not have to replace their EMR. Organizations can pilot individual agents, then expand to a broader configuration as value shows up. For larger groups and hospitals, privacy and deployment options include enterprise controls and the ability to keep data within the organization’s environment. Reported impact includes sizable time savings per clinician and measurable reductions in burnout. The result is a modular, always-on set of assistants that shorten documentation time, speed access, and keep teams focused on patient care rather than screens.
Key Features
Ambient scribe with structured note output and summaries
Doctor-LM personalization by voice or natural-language configuration
AI Receptionist for calls, messages, and scheduling
Triage, Coding, and Pharmacy agents for downstream tasks
EMR interoperability with Epic and athenaOne
Metrics reporting on efficiency and adoption
Enterprise privacy options including on-prem and compliance controls
Ease Of Use
Setup: Pick one agent to pilot, connect calendars and EMR access where applicable, invite a small provider cohort, and run live visits. Same day value is realistic.
Daily workflow: Clinicians record visits, review and file drafts, and act on decision-support hints. Front desk lets the Receptionist screen and schedule while staff monitor escalations. Billers review AI coding suggestions before submission.
Team onboarding: Providers and MAs learn the scribe and Doctor-LM presets quickly; front-desk staff get a short playbook for handoffs and exceptions.
Tool integration: Use EMR connections for note placement and scheduling, with copy-paste fallback if needed. Stand up one visit-to-note flow and one call-to-booking flow and you are operational in a couple of hours.
Admin demand: Moderate. Maintain user roles and permissions, update templates and routing rules, monitor EMR connections, review usage metrics, and tune prompts as protocols evolve.
Use Cases
Multispecialty and primary-care groups reducing chart backlog and phone volume
Urgent care and high-throughput clinics that need faster intake and documentation
Behavioral health and pediatrics standardizing notes and follow-ups
Hospital outpatient departments adding ambient scribing and coding support
RCM leaders seeking consistent documentation to support accurate billing