Sully.ai provides AI agents for healthcare systems, covering various workflows at the front desk, during visits, and after visits, and connects with institutions' existing electronic health record (EHR) systems, aiming to free up more care capacity for healthcare institutions.
[Purpose] The platform is positioned as One Platform for Healthcare Work, mainly targeting healthcare systems, clinics, and physician teams, using AI agents to handle administrative and clinical support tasks and reduce the time doctors spend on non-clinical matters.
[Main capabilities] The officially introduced capabilities are divided into three stages according to the patient journey:
- Before the visit (Front Desk): answering calls, coordinating appointments, helping patients connect with the right care team; it also includes Insurance Verification.
- During the visit (Clinical Support): capturing the encounter, providing clinical decision support, and converting conversations into structured clinical notes.
- After the visit (Revenue): completing documentation, orders and follow-up, and patient outreach; it also supports suggesting coding from clinical documentation while retaining control for final review by the institution's coding team.
In addition, the platform provides visual views of scheduling and patient access, showing scheduling information such as call source regions and daily scheduling activity.
[Integration with systems] Sully.ai can read and write back patient background information, recorded notes, coding, and appointments, and supports integration with most mainstream EHR systems, allowing healthcare teams to continue working in familiar systems. The official page lists "Supported integrations," but the specific list of supported EHRs is not provided in the materials.
[Results and adoption] The official page lists the following data or statements (all are its own claims):
- Adopted by healthcare systems with more than 20,000 clinicians.
- The number of patients seen through Sully is 680,000.
- The specific amount of call center operating costs saved each year (presented as a number on the page).
- Metrics such as incremental annual revenue, the number of weeks required to onboard new service providers, and seeing more patients. The page also displays testimonials from doctors and institution leaders, for example mentioning the time-consuming problem of capturing patient stories, faster payment, reduced compliance risk, and lower administrative overhead.
[Security and privacy] The officialside emphasizes data privacy: We don't use or train on your data. The compliance and security matters mentioned on the page include information security management, health data privacy and protection, medical safety assurance, Abu Dhabi healthcare cybersecurity, independent control audits, regional data protection, and more, and it provides a Trust Center for further understanding. In the HealthBench Safety evaluation, the official side claims that its safety score is higher than every comparison object in that evaluation.
[Applicable scenarios] Suitable for healthcare systems and clinics that want to increase patient intake capacity, reduce administrative and call center burdens, and optimize clinical documentation and revenue cycle management. The team background mentions experience in deploying technology in highly complex healthcare systems.
[Limitations and information not provided] The materials do not explain specific pricing, charging model, free trial situation, deployment method (such as cloud or on-premises), the complete list of supported EHRs, language support scope, or the specific usage steps for each function. This information is not currently provided.
