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Sully.ai

What is Sully.ai?

Sully.ai is a healthcare AI workflow layer for clinical teams that turns conversations and chart data into notes, coding, scheduling, and front-desk actions. It combines AI Scribe, AI Medical Coder, AI Receptionist, AI Triage Nurse, and AI Interpreter workflows, and connects with Epic, Cerner, Oracle Health, MEDITECH, Tebra, and Twilio. Customers include Nile Women's Health Care, City Health, and Apogee Behavioral Medicine.

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At a glance

Best for
Sully.ai is best for healthcare teams that want AI agents to reduce admin work and support clinical workflows.

What does Sully.ai do?

Sully.ai runs a multi-agent clinical workflow layer that turns conversations and chart data into notes, coding, scheduling, and front-desk actions. Its AI Scribe captures ambient documentation, the AI Medical Coder applies autonomous ICD coding, and the AI Receptionist handles appointment scheduling, patient check-in, and front desk support. The system also uses AI Triage Nurse, AI Consultant, AI Pharmacist, and AI Interpreter workflows to move work across the care journey instead of leaving it in separate queues. Customer stories cite Nile Women's Health Care, City Health, and Apogee Behavioral Medicine, while the trust page shows HIPAA, HITRUST CSF, and ISO 27001:2022 controls. The platform is built around EMR interoperability and a secure integration layer, with no public API offering listed.

Why use Sully.ai?

  • One integration keeps the EMR as the source of truth while multiple agents handle adjacent workflows.
  • The platform combines documentation, coding, reception, and triage so teams can automate more than one bottleneck.
  • Security and compliance controls are built for healthcare, including HIPAA, HITRUST CSF, and ISO 27001:2022 alignment.
  • Customer results point to measurable operational lift, including reduced burnout, faster workflows, and revenue gains from better documentation.
  • The consensus and SuperAgent architecture are designed for multi-agent decision-making instead of relying on a single model.

Who is Sully.ai for?

  • Clinical operations teams who want to automate intake, scheduling, and follow-up work.
  • Physicians who need ambient documentation and decision support during patient visits.
  • Medical coding teams who want faster, more consistent ICD coding with less manual review.
  • Front desk staff who need help handling inquiries, check-in, and appointment changes.
  • Healthcare organizations that want interoperable AI workflows across their EHR stack.

What are Sully.ai's key features?

AI Triage Nurse

Screens symptoms and prioritizes care requests before staff review, supporting faster intake and safer routing across 100+ healthcare orgs.

Appointment scheduling

Books visits and fills calendars through connected systems like Epic, Athenahealth, and Twilio, helping recover missed appointments and reduce call abandonment.

Complete EMR Interoperability

Connects with major EHRs including Epic, Cerner, Oracle Health, MEDITECH, and Tebra, so AI actions can write back into existing records.

SuperAgent architecture

Uses multi-agent AI with structured proposal-and-critique cycles, weighted scoring, and reputation tracking to coordinate complex healthcare tasks.

Always Learning and Improving

Continuously updates models and workflows across 12+ models, aiming to improve accuracy and reduce hallucinations in real clinical use.

What does Sully.ai integrate with?

  • Epic
  • Cerner
  • Oracle Health
  • MEDITECH
  • Altera
  • MEDHOST
  • Veradigm
  • Allscripts
  • Athenahealth
  • Tebra
  • NextGen
  • AdvancedMD
  • Kareo
  • Netsmart
  • ModMed
  • PointClickCare
  • Nextech
  • Practice Fusion
  • DrChrono
  • Elation
  • Office Ally
  • Office Practicum
  • Clinicom
  • CRC
  • Ambula
  • CharmHealth
  • Healthie
  • Jane App
  • IntakeQ
  • Exscribe

What are Sully.ai's use cases?

Physicians document visits faster

Physicians who need ambient documentation during patient visits use Sully.ai to capture the encounter with AI Scribe and turn it into structured notes without breaking eye contact. They can also lean on Decision support to surface relevant clinical context, helping them finish charts sooner and reduce after-hours documentation.

Front desk handles intake

Front desk staff who need help handling inquiries, check-in, and appointment changes use Sully.ai to manage patient flow with AI Receptionist, Patient check-in, and Appointment scheduling. That means fewer missed calls, smoother arrivals, and less manual back-and-forth for routine scheduling tasks.

Coding teams speed ICD review

Medical coding teams who want faster, more consistent ICD coding use Sully.ai to draft codes with AI Medical Coder and then review exceptions instead of starting from scratch. With Always Learning and Improving, teams can standardize coding decisions and cut down on repetitive manual review.

Interoperable workflows for health systems

Healthcare organizations that want interoperable AI workflows across their EHR stack use Sully.ai to connect clinical and operational tasks through Complete EMR Interoperability and SuperAgent architecture. This helps them move from isolated automations to coordinated workflows that span intake, documentation, and follow-up.

How does Sully.ai work?

  1. Connect your first EHR or practice system through Complete EMR Interoperability, then choose the workflow you want to automate, such as scheduling, intake, documentation, or coding.
  2. Configure the right agent, like AI Scribe, AI Receptionist, AI Triage Nurse, or AI Medical Coder, and map it to the tasks your team handles most often.
  3. Review the workflow logic inside SuperAgent architecture, using agentic workflows and structured proposal-and-critique cycles to shape outputs before they reach staff.
  4. Launch in a pilot and let Always Learning and Improving refine performance from real usage, so the system adapts to your specialty and operational patterns.
  5. Keep expanding into post-visit workflows and additional departments, using the same connected setup to reduce manual handoffs and keep work moving across the EHR stack.

Frequently asked questions

What is Sully.ai?

Sully.ai is a healthcare AI workflow layer for clinical teams that turns conversations and chart data into notes, coding, scheduling, and front-desk actions. It combines AI Scribe, AI Medical Coder, AI Receptionist, AI Triage Nurse, and AI Interpreter workflows, and connects with Epic, Cerner, Oracle Health, MEDITECH, Tebra, and Twilio. Customers include Nile Women's Health Care, City Health, and Apogee Behavioral Medicine.

What is Sully.ai used for? Who is it for?

Sully.ai is used for AI Interpreter, AI Triage Nurse, and AI Medical Coder. It's built for Clinical operations teams, Physicians, and Medical coding teams.

Does Sully.ai have an API and what does it integrate with?

Sully.ai doesn't publish a public API. It integrates with Epic, Cerner, Oracle Health, MEDITECH, Altera, and 25 more.

Editor's read

Check how deeply Sully.ai needs to write back into your EHR stack before rollout. The listing shows EMR interoperability and a secure integration layer, but also says there is no public API offering listed, so integration scope should be verified against your workflow requirements.

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