Payline AI

Inspiration

Working in hospitals, I saw how much time doctors waste on billing. Later, when I transitioned into tech, I realized billing software hadn’t evolved — it’s still manual, fragmented, and inefficient. After interviewing multiple doctors, it became clear: no one’s solving this properly. So I decided to build the solution I wish existed.

What it does

Payline AI automates the entire billing workflow for clinics — insurance verification, claim optimization, patient collections, and appointment upsells — all handled by AI agents instead of staff or outsourced call centers.

How we built it

We built an AI phone agent that captures user conversations and determines which action to take — whether that’s sending an email via Gmail, booking an appointment, checking patient records, or verifying insurance in real time via API. The system is built with Python, Node.js, React, PostgreSQL, and hosted on AWS, with GPT-4 and Claude handling natural language tasks.

Challenges we ran into

Connecting our AI agent to external workflows using n8n was tricky. Standard webhooks didn’t hold up for real-time processing, but using webhooks with Server-Sent Events (SSE) solved the issue and allowed for reliable two-way communication.

Accomplishments that we're proud of

Built the working prototype in under 3 weeks, validated demand with real doctors, and created a modular AI agent that can plug into multiple healthcare APIs and workflows. Also proud that we're solving a hard, overlooked problem with clarity and speed.

What we learned

Doctors don’t want more dashboards - they want outcomes. The best tools remove complexity, not add to it. Simplicity, automation, and real-time interaction win.

What’s next for Payline AI

Bringing on an advisor doctor, onboarding our first clinic, and locking in our go-to-market strategy (starting with dentists). We’re refining our agentic flows, expanding API integrations, and preparing for scalable deployment.

Built With

• and-appointment-upsells-?-all-handled-by-ai-agents-instead-of-staff-or-outsourced-call-centers.-how-we-built-it-we-built-an-ai-phone-agent-that-captures-user-conversations-and-determines-which-action-to-take-?-whether-that?s-sending-an-email-via-gmail
• and-created-a-modular-ai-agent-that-can-plug-into-multiple-healthcare-apis-and-workflows.-also-proud-that-we're-solving-a-hard
• and-hosted-on-aws
• and-inefficient.-after-interviewing-multiple-doctors
• and-locking-in-our-go-to-market-strategy-(starting-with-dentists).-we?re-refining-our-agentic-flows
• and-real-time-interaction-win.-what?s-next-for-payline-ai-bringing-on-an-advisor-doctor
• antropics
• automation
• booking-an-appointment
• but-using-webhooks-with-server-sent-events-(sse)-solved-the-issue-and-allowed-for-reliable-two-way-communication.-accomplishments-that-we're-proud-of-built-the-working-prototype-in-under-3-weeks
• checking-patient-records
• claim-optimization
• elevenlabs
• expanding-api-integrations
• fragmented
• google
• i-realized-billing-software-hadn?t-evolved-?-it?s-still-manual
• i-saw-how-much-time-doctors-waste-on-billing.-later
• inspiration-working-in-hospitals
• it-became-clear:-no-one?s-solving-this-properly.-so-i-decided-to-build-the-solution-i-wish-existed.-what-it-does-payline-ai-automates-the-entire-billing-workflow-for-clinics-?-insurance-verification
• mcp
• n8n
• node.js
• not-add-to-it.-simplicity
• onboarding-our-first-clinic
• or-verifying-insurance-in-real-time-via-api.-the-system-is-built-with-python
• overlooked-problem-with-clarity-and-speed.-what-we-learned-doctors-don?t-want-more-dashboards-?-they-want-outcomes.-the-best-tools-remove-complexity
• patient-collections
• postgresql
• react
• validated-demand-with-real-doctors
• when-i-transitioned-into-tech
• with-gpt-4-and-claude-handling-natural-language-tasks.-challenges-we-ran-into-connecting-our-ai-agent-to-external-workflows-using-n8n-was-tricky.-standard-webhooks-didn?t-hold-up-for-real-time-processing