Over the past 2 weeks I built an AI voice agent for a cosmetic clinic that operates across three locations in Amsterdam. The clinic often receives calls while treatments are in progress, which makes it difficult to answer consistently without interrupting patient care. So I built a voice agent that can: • check real appointment availability • create booking requests inside ClinicMinds CRM • verify bookings via SMS • route calls to reception when available • create callback requests when needed After two successful pilot builds, this project will become my first paying client deployment. The clinic is currently expanding and expects call volume to grow to around 20 calls per day in the coming months, so the goal is to have the system ready before that growth happens. The owner is very open to implementing new technology, which made this a great real-world use case to build and test with! Instead of building a demo, I focused on creating something that could actually be deployed in a real clinic environment. This is the walkthrough I submitted for the hackathon 👇 https://www.loom.com/share/122ea2b7649c4557affc4aad1a30c2bc Curious to see what everyone else built. Happy to answer a few questions if anyone is interested in how this system works!

Hi everyone 👋 Excited to join the hackathon! I’m currently focused on building AI voice agents for cosmetic clinics, and I’m working on a real-world case where the agent handles inbound calls, books appointments directly into the CRM (ClinicMinds), verifies callers via keypad input, sends SMS confirmations, creates callback requests and checks real-time office hours. The system is already functional in Dutch and about to launch in a real clinic environment. I’m now refining the setup and joining this hackathon to showcase how I built this solution and continue improving it! Looking forward to learning from everyone and seeing what you’re building! 🚀