The done-for-you AI that books more patients than your reception can — 60-second replies, 24 hours a day. Your team gets their hours back. We'll beat your clinic's current booking rate, or refund the entire fee.
The AI you'll chat with is a live Nexolyft build — running for my own inbound. It'll qualify you and book you into my calendar.
You feel the symptoms — ad spend up, bookings flat — but the cause is rarely named. Each leak has receipts: a cited stat, an owner-speak name, and a number you can test against your own clinic.
By the time your team types a reply, the same lead is in three competitor inboxes. No human front desk can sustain sub-60-second replies at scale, every hour, every day.
Patients browse IG at 10 PM, tap WhatsApp, get silence from your closed clinic. By Monday morning the warm lead is cold. A closed reception means half your ad spend leaks out the back.
"Let me think about it" isn't a no — but without a system, it becomes one. Most aesthetic leads need 5+ gentle touches before they book. Almost no clinic delivers them.
A booked patient isn't a paying patient until they sit in the chair. Without reminders, a measurable chunk of every day's calendar disappears — paid-for ad leads that booked, then never showed.
Aesthetic patients are recurring by clinical design — 14-wk Botox, 6-wk laser, 90-day Rejuran. Most clinics capture one return out of the three they've already earned. That's revenue you paid to acquire, walking out the door.
Three numbers you already know. We'll break down what each of the 5 leaks costs your clinic every year — and show you which leak is biggest.
Your existing leads, your current ad spend. No new hires. No new channels.
Five plugs, one per leak. Each runs automatically on your WhatsApp, trained on your clinic, 24/7 — so the revenue stops leaking from day one.
Every enquiry — from Meta, IG, your website, or Google Business — answered instantly. No queue, no backlog, no typing delay. 24 hours, seven days.
A care-coordinator persona trained on your pricing, doctors, treatments, and tone. Handles pricing, downtime, suitability — consistently, in 4 languages, at 3 AM if needed. MOH-safe, PDPA-compliant.
"Let me think about it" isn't the end. The AI runs the sequence — +24h, +3d, +7d, +14d, +30d — warm, on-brand, persistent until they book or unsubscribe.
Automatic confirmation at booking, −24-hour reminder, −2-hour nudge. One-tap reschedule link. Near-misses become filled chairs or fresh bookings — not empty slots.
Botox top-ups at 14 weeks. Laser at 6. Rejuran at 90 days. Birthday offers, post-care check-ins, package renewals — fired automatically, timed to treatment science.
During onboarding, we audit your last 90 days of WhatsApp enquiries to establish your baseline booking rate — bookings divided by qualified enquiries. In your first 30 days live, we need to beat it. If we don't, every dollar you've paid us — setup and retainer — is refunded.
Between your ads and your calendar is where the money leaks. We sit precisely there — built for Singapore aesthetic clinics, specifically, and nothing else.
We build, train, deploy, monitor, and optimize weekly. No flows to configure, no dashboards to learn, no "marketing person" dependency. You treat patients — we run the conversation engine.
Our prompt library knows Botox vs HIFU vs Rejuran, SG price bands, MOH advertising guidelines, PDPA patterns, and the 4 languages (English, Mandarin, Malay, Tamil). Not a retrained e-commerce bot.
Your SOPs. Your price bands. Your doctors' credentials. Your treatment menu. Your brand voice. We plug into your existing stack — Cliniko, Acuity, GHL, Google Calendar — not the other way around. Weekly tuning on your real transcripts.
I personally write your prompt library, sit with your medical director, and watch the first 100 conversations go live. No CSM handover. We take on three clinics a month — that's the ceiling.
We disclose it once at the start of the conversation, as PDPA best practice requires. After that, the AI is indistinguishable from a trained care coordinator — and it hands off to your team the moment a patient asks something clinical that needs a human.
Yes. Data is stored in Singapore-region infrastructure, encrypted at rest. The AI is instructed never to diagnose, promise outcomes, or cross MOH advertising guidelines. Your medical director reviews the prompt library before go-live.
We handle Meta verification, WhatsApp API setup, system prompt authoring, integration with your calendar/CRM, training your staff on the handoff, and week-by-week optimisation. You focus on treating patients — we run the conversation engine.
7 days or less, from signed to live. Days 1–3: discovery, SOP capture, integrations. Days 4–6: AI training, sandbox testing with your team. Day 7 (or earlier): go-live. After that it's weekly tuning calls and monthly strategic reviews.
You get the entire fee refunded — setup and any retainer paid. Conditions: lead source must be held constant between your baseline and test windows (Meta vs Meta, not Meta vs Google — lead quality varies by channel), and you need at least 300 qualified leads during the measurement window for the comparison to be statistically reliable. If we refund, we retrieve the prompt library and AI agents we built — the refund is the remedy, not a free deployment.
We take on three clinics per month. The 7-day build is hands-on — Dan personally writes the prompt library, sits with your medical director, and watches the first 100 conversations go live. Stretch that over more than three clinics in a month and quality drops. So we don't.
30 minutes. Message your own AI, live on the call. Leave with a clear yes or no. If we don't beat your booking rate in 30 days, the entire fee refunds.
All times in your local timezone. Calendar invite + Zoom link lands in your inbox on confirmation.
I've been obsessed with digital marketing since 2014 — launched, scaled, and sold a handful of businesses along the way. The one I'm asked about most is a US health clinic I helped generate US$7.2M in 27 months on just US$620K in ad spend — a 12.5× ROAS. Two things from that work carried over: how to pull real performance out of healthcare ad spend, and how to operate inside medical-vertical compliance without breaking it.
NexoLyft came from something I noticed as a patient myself. When I reached out to Singapore aesthetic clinics about treatments, half took hours to reply, some never replied at all, and follow-up was nonexistent — even as those same clinics were spending hundreds of thousands on Meta ads to get me there in the first place. The gap was too obvious to ignore. No one had built a WhatsApp AI specifically for Singapore aesthetic clinics, with the MOH rules baked in, the languages covered, and a real guarantee attached.
So I built it. Same ad spend, more booked patients, measured against your own baseline. That's the deal — and I run every build personally.