Sully.ai’s agents coordinate hand‑in‑hand so work moves smoothly from first contact to documentation, follow‑up, and billing, while your team stays in control. Here’s how they collaborate at each stage.

Before the visit

• AI Receptionist → Scheduling: Answers calls, verifies the patient, and books/reschedules/cancels per your rules. Creates reminders and, if no slot fits, starts a waitlist or warm transfer.

• AI Triage Nurse ↔ Receptionist: When callers have symptoms rather than a simple scheduling need, the Receptionist hands off to the Triage Nurse to collect details, screen red flags, and route to the right queue.

• AI Interpreter (optional): Provides live prompts/translation for multilingual callers and translates two‑way messages; staff approve before anything is sent.

• AI Consultant: Pull pre‑visit context (history, meds, open gaps), organize it into a chart‑prep summary, and queue any front‑desk or nursing tasks for review.

During the visit

• AI Scribe: Captures the conversation (with consent), transcribes with medical vocabulary, and drafts a structured note to your templates.

• AI Consultant (optional): Provides real-time clinical insights and care suggestions alongside the draft note for clinician review.

• AI Interpreter (optional): Provides real‑time captions/prompts when language support is enabled.

After the visit

• AI Nurse: Prepares drafts for follow‑ups (wound checks, new‑med starts), patient instructions, referrals, and reminders; routes replies back to your queue.

Billing & coding

• AI Medical Coder ↔ AI Scribe: Uses the signed note and encounter context to draft ICD‑10/CPT/HCPCS with explanations and documentation prompts; coders/clinicians review and approve before submission.

How the handoffs work

• Shared context: Agents pass structured summaries (intake → note → coding → follow‑up) so each step starts with the latest information.

• Single workspace: Drafts and tasks appear in your EHR/scheduling/communication tools via integrations—no new systems to check.

• Clinician‑in‑the‑loop: All outputs are drafts until a human reviews and approves; urgent issues escalate per your policy. Multilingual messaging and live support are optional and staff‑approved.

Each agent focuses on its part of the journey, and together they automate routine steps while keeping final decisions with your team.