Sully.ai
Also known as: Sully AI
AI agents for hospitals and clinics (Receptionist, Scribe, Medical Coder, Triage Nurse, Pharmacist, Consultant) coordinated by an agent orchestrator over one EHR integration, with auditable trails and human override, plus the Sully API and Sully LLM for health-tech teams; SOC 2 Type 2, ISO 27001, HITRUST.
Sully AI sells an autonomous operating system for healthcare: named AI agents that work across the patient journey, from an AI Receptionist that answers calls, checks availability and books in the EHR, to an AI Triage Nurse, AI Scribe, AI Medical Coder, AI Pharmacist and AI Consultant, coordinated by an agent orchestrator across people and systems. One EHR integration powers scheduling and notes across a long list of EHRs, with actions depending on each EHR's configuration.
Every action carries evidence and explainability with a human override, under policy engines, permissions and auditable trails by default. For EMR, EHR and health-tech teams, the Sully API offers Sully LLM as a drop-in replacement for GPT or Claude endpoints, returning structured JSON with FHIR R4 and HL7 outputs and an evaluation framework. Sully holds SOC 2 Type 2, ISO 27001:2022 and HITRUST, with access control and single sign-on. Pricing is by demo and sales conversation.
Vendor details
Canonical URL
https://www.sully.ai
Category
Healthcare agent
Funding status
Venture backed (Amity Ventures led round)
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
One EHR integration for scheduling and notes across a published list of EHRs (athenahealth, Cerner, Allscripts, AdvancedMD, DrChrono and others); Twilio and SendBird for communications; Sully API with FHIR R4 and HL7 outputs.
In practice
A multi site clinic lets the AI Receptionist answer calls, check availability and book visits in athenahealth, filling cancellations as they appear.
Physicians use the AI Scribe to document each visit and update the EHR, and the AI Medical Coder assigns the codes before the claim goes out.
An EHR vendor swaps its GPT endpoint for Sully LLM through the Sully API and gets FHIR R4 output for its own workflows.
Sources & related URLs
Agentic Index coverage score
9.0 / 14 capabilities · 64%
| Integrations & Tool Calling | Full |
|---|---|
|
One EHR integration powers scheduling and notes across a published list of EHRs (athenahealth, Cerner, Allscripts, AdvancedMD, DrChrono and many more) plus Twilio and SendBird. The receptionist checks availability and creates the appointment in the EHR, with the available actions depending on the EHR's configuration. The plug in design fits the EHR, communications and data stack without replacing them. The Receptionist answers online inquiries, fills cancellations and schedules visits, and the Scribe updates the EHR. SourceSully.ai, sully.ai/integrations, /aos and /productsread 2026-10-05 |
|
| Workflow Orchestration | Full |
|
An agent orchestrator coordinates multiple agents across people and systems through the patient journey (receptionist before the visit, triage nurse and scribe during it, coder and consultant after), and the API lets teams map custom workflows onto the agent. Sully says the agents take on 30 to 60% of routine tasks, so clinicians can focus on care. SourceSully.ai, sully.ai/aosread 2026-10-05 |
|
| Knowledge Grounding & RAG | Partial |
|
Agents show evidence and explainability at each action, and the AI Consultant supports clinical decisions. Sully describes no knowledge base or document source the agents answer from. Sully LLM was trained on more than 1.8 million real encounters and can be fine tuned on a customer's own data. SourceSully.ai, sully.ai/aos and /apiread 2026-10-05 |
|
| Human Oversight & Guardrails | Partial |
|
Each action carries evidence and explainability with a human override, under policy engines and permissions. The override comes after an action, and there is no step where a person approves an agent action before it goes through. An autonomy ladder lets a customer widen what agents do site by site and workflow by workflow. SourceSully.ai, sully.ai/aosread 2026-10-05 |
|
| Security, Identity & Governance | Full |
|
Sully holds SOC 2 Type 2, ISO/IEC 27001:2022 and HITRUST, access control and single sign-on are enterprise features, and policy engines and permissions are on by default. Sourcetrust.sully.airead 2026-09-29 |
|
| Observability & Auditability | Full |
|
Auditable trails are on by default, and every agent action carries its evidence and explanation. Sully calls the API outputs audit-ready. Sourcesully.ai/aosread 2026-09-29 |
|
| Memory & State Persistence | Not documented |
|
Sully describes no memory that its agents keep from one visit or call to the next. Each action carries its own evidence and explanation, and results land in the EHR. SourceSully.ai, sully.ai/aosread 2026-10-05 |
|
| Deployment & Data Residency | Not documented |
|
Sully says only that it uses best in class infrastructure providers, and it offers no region, region choice, customer environment or on premises option. Customers move up an autonomy ladder site by site and workflow by workflow. The managed agents can go live the same day, and the LLM path takes two to three days. SourceSully.ai, trust.sully.ai, sully.ai/aos and /apiread 2026-10-05 |
|
| Prebuilt Agents, Templates & Packs | Full |
|
The lineup runs from the AI Receptionist and AI Scribe to the AI Medical Coder, AI Nurse (triage), AI Pharmacist and AI Consultant, each doing its own job and hired individually. The Medical Coder reviews records and assigns diagnosis codes to coding standards, and the Scribe documents encounters and updates the EHR. Sully says more than 400 paying organizations across 36 specialties use the agents. SourceSully.ai, sully.ai/productsread 2026-10-05 |
|
| Triggers & Channel Coverage | Full |
|
Patients who call to book a visit reach the AI Receptionist, which checks availability and books in the EHR, while the scribe and triage nurse start on arrival and during the visit. The Receptionist also answers online inquiries and fills cancellations as they come up, around the clock. |
|
| Model Flexibility & Routing | Partial |
|
Sully runs its own Sully LLM and names OpenAI and Claude among the LLM providers used for ambient processing, all chosen by Sully. The customer does not pick models inside the agents. Sully LLM gets free quarterly updates, can be fine tuned on the customer's own data and answers in 189 milliseconds on average. SourceSully.ai, sully.ai/apiread 2026-10-05 |
|
| APIs, SDKs & MCP Extensibility | Full |
|
The Sully API lets EMR, EHR and health tech teams build agentic workflows, offering Sully LLM as a drop in replacement for GPT or Claude endpoints and returning structured JSON with FHIR R4 and HL7 outputs. The documentation sits behind a sign in. Sully offers the LLM as a model service for custom workflows and the agents as a fully managed service, so a team can keep its own orchestration and swap in the model. SourceSully.ai, sully.ai/apiread 2026-10-05 |
|
| Testing, Debugging & Optimization | Partial |
|
The API offering includes an evaluation framework and has teams test with their own data, but Sully does not describe what the framework contains. The HealthBench safety comparison is Sully's own benchmark. Sully reports 89% clinical accuracy against 62% for generic LLMs and says Sully LLM outperforms GPT-5 and Claude 4.6 on clinical tasks, and these are its own figures. SourceSully.ai, sully.ai/apiread 2026-10-05 |
|
| Browser & Computer Use | Not documented |
|
There is no browser, desktop or computer control. Agents act through EHR and communications integrations. The Scribe works from the visit conversation, and the Receptionist from phone calls and online inquiries. SourceSully.ai, sully.ai/integrations and /productsread 2026-10-05 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Product updates
Sully.ai introduced a specialized AI scribe designed specifically for nursing shifts. The new capability is tailored to handle nursing-specific documentation requirements, including timestamps, flowsheets, and shift handoffs.
Bears on: Agent capability
View sourceSully.ai released a psychiatry-tuned AI scribe optimized for mental health prescribers. The specialized agent is configured to structure Mental Status Examinations, document dosing rationales, and ensure correct Evaluation and Management coding.
Bears on: Agent capability
View sourcePricing
Contact sales
What is public
No prices, plans or billing basis are published first party; Book a demo is the route.
Variable cost rationale
No billing basis or rate is published, so exposure cannot be checked from public pages.
Sales call required
Yes, required for paid access
Free / trial
Demo on request
Related vendors
- Abridge — AI platform for health systems that turns clinical conversations…
- Adonis — AI orchestration platform for revenue cycle management whose…
- AKASA — Generative AI for the hospital mid revenue cycle: Coding and CDI…
- Alaffia Health — Agentic AI for health plan claims operations: utilization…
- AlethianAI — Connected AI agents for medical practices share one patient record
- Ambience Healthcare — AI platform for health systems pairing an ambient scribe with…
Alternatives to Sully.ai
The closest documented capability profiles to Sully.ai among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Keragon9.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Testing, Debugging & Optimization
- Candid Health8.0 / 14Adds documented Browser & Computer Use
- Infinitus10.0 / 14Adds documented Browser & Computer Use
- Luma Health10.0 / 14Adds documented Memory & State Persistence
- RapidClaims8.0 / 14Fuller documented coverage on Knowledge Grounding & RAG
- SuperDial9.0 / 14Adds documented Deployment & Data Residency and Browser & Computer Use
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded