Sully.ai

Sully.ai builds what it calls a "workforce" of healthcare AI agents rather than a single point tool. The lineup spans a Receptionist agent that answers inbound calls, schedules and reschedules appointments and triages patients to the right care team; a Scribe agent that turns recorded encounters into structured clinical notes; a Medical Coder agent that proposes supported ICD and CPT codes while leaving final review with the billing team; and a Consultant agent that assembles patient context, evidence and differential reasoning to support clinical decisions. A separate Sully API and a research arm, Sully Labs, extend the platform to developers and publish benchmarks and whitepapers.

The differentiating claim is integration depth. Sully states its agents read and write patient context, documented notes, codes and appointments on the majority of the major EHRs, so staff continue working in the system they already know instead of a parallel tool. The company markets itself on measurable capacity gains, citing published customer stories such as more than $650K in annual savings from reduced abandoned patient calls at a 120-clinician FQHC and over $2M recovered through more accurate upstream clinical coding at a 200-clinician provider network. It also reports that onboarding a new provider takes two weeks rather than one.

Sully.ai positions itself as an enterprise solution for health systems, FQHCs, specialty networks and large clinics. There is no self-serve pricing page; interested organizations book a demo and negotiate a contract, so cost depends on clinician count, modules enabled and integration scope. The company publishes safety benchmarks — including HealthBench Safety comparisons against general-purpose frontier models — and physician-in-the-loop design, where clinicians review and sign off on every note, code and plan before it becomes part of the record.