I spent weeks talking to aesthetic clinics in Barcelona before writing a single line of code (well, almost).
Here's what I found:
The real pain:
Every clinic I called manages WhatsApp manually. Between patients. No system. No automation. One owner told me: "sometimes I see the message 3 hours later and the client already went somewhere else."
Estimated cost of not responding in time: €1,200–1,600/month in lost appointments.
What I built:
Venu is an AI agent connected to the clinic's WhatsApp that:
Stack: Next.js + Supabase + GPT-4o + Z-API + Stripe.
Price: €149/month flat.
What I learned from the process:
Where I am now:
MVP in production. Two hot leads. 6 clinics that validated the pain waiting to see the real product.
This week: demos, feedback, first paying customer.
Has anyone gone through a similar B2B outreach process in local niches? What worked?
This is a strong wedge because the real problem is not “clinics need a chatbot.” It is that high-intent patients are already messaging on WhatsApp, and the clinic loses revenue when the response depends on whoever happens to check the phone first.
The trust point is probably the key. For aesthetic clinics, the buyer does not just need automation. They need to feel the AI will protect the tone, handle returning patients differently, and avoid making the clinic sound cheap or robotic. I’d make that the center of the positioning: WhatsApp appointment capture that feels like your front desk, not a generic bot.
One thing I’d watch is the Venu name. It is short and clean, but it can sound more like bookings/venue software than patient-facing clinic intelligence. If this expands deeper into aesthetic clinic communication and care workflows, Lyriso .com would carry the health/wellness trust layer more clearly.