AI for healthcare CX, end to end.
How AirCaptain transformed patient experience for a healthcare provider. Improved the patient experience outside the visit, layered onto the provider's existing stack with no rip-and-replace.
One patient, four systems, no shared context.
Systems connected
No rip-and-replace. AirCaptain connected to what the provider already used:
Patients experience a practice mostly outside the exam room, and every one of those touchpoints lived in a different system. None of them talked to each other. AirCaptain worked the space between them: scheduling and rescheduling, referral follow-through, billing questions, everyday support. One coherent experience for the patient, regardless of which system holds the answer.
Five core AI capabilities, embedded in the daily workflow.
Each capability was layered onto the provider's stack and measured against a real outcome.
Intelligent triage & routing
Every inbound message was read, classified by intent, scored for urgency, and routed to the right queue. No more first-in, first-out.
Care team copilot
One patient view assembled across systems, with drafted responses and suggested next steps. Staff opened a case already informed instead of rebuilding context by hand.
Patient-facing automation
Voice, chat, and auto-response for requests that never needed a person: appointment status, scheduling and rescheduling, cancellations, referral and refill status.
Backend workflow automation
The follow-through after a case is resolved, normally spread across several tools, handled end to end without staff involvement.
Patient experience intelligence
Every contact analyzed rather than a sample. Trend detection, spike alerts, and shifts in patient sentiment.
AI landed in five teams, not one pilot group.
Each function got the capabilities that mattered to its work, inside the tools it already used.
Scheduling
Patient schedule management, including rescheduling and confirmations.
Referrals
Inbound and outbound referral management, end to end.
Billing and RCM
Claims, appeals, and collections.
Medical assistants
Copilot tools plus prescription and prior authorization workflows.
Patient support
Messaging, questions, and requests across every channel patients use.
Recognize any of this in your operation?
We'll show you where AI fits in your stack and where it doesn't. A working prototype on your real workflows in the first week, not a months-long scoping exercise.