We build agentic workflows that predict which patients will no-show, reach out before they ghost, and auto-fill cancellations from a smart waitlist. Clinics using AI-driven scheduling typically recover 30–50% of lost slots.
Works with Jane · Cliniko · WebPT · Prompt
Most clinics rely on basic SMS or email reminders. But reminders don't predict behavior, don't adapt to risk, and don't fill the gap when someone cancels.
Generic text reminders don't change behavior. By the time you know someone won't show, the slot is already wasted.
A single no-show costs $80–$200 in lost revenue. Multiply that across a week and you're leaving tens of thousands on the table each year.
Manually chasing confirmations, calling waitlisted patients, reshuffling schedules — your team spends hours on work that should be automatic.
No new software. No data migration. We connect to the scheduling tools you already use and the AI agents work quietly in the background.
Canopy analyzes scheduling patterns, visit history, and behavioral signals to flag high-risk appointments days in advance.
Instead of generic reminders, patients get personalized nudges timed and phrased to actually change behavior — via SMS, email, or voice.
When a slot opens, Canopy instantly matches it with waitlisted patients who can come in, confirms them, and updates your calendar.
You don't have admin bandwidth to chase patients. Canopy handles outreach, confirmations, and waitlist fills automatically — so every hour you're available, you're treating someone.
Different locations, different front-desk habits, inconsistent follow-up. Canopy applies the same intelligent process everywhere, giving you a single view of no-show risk across your network.
Long waitlists and high no-show rates mean patients wait weeks while slots go empty. Canopy automatically connects open slots with waitlisted patients in real time.
A typical 4-practitioner clinic
About the Founder
Co-founder, Andela
Unicorn startup · Backed by Chan Zuckerberg Initiative & Google Ventures
J.W. Graham Medal
Computing & Innovation · University of Waterloo, 2024
15+ years in tech
Staff Engineer · Systems at scale · Ontario, Canada
I'm Brice, a software engineer, entrepreneur, and the founder of Canopy Lab. Before turning my focus to AI for small businesses, I co-founded Andela, an AI-powered global talent network that grew to a billion-dollar valuation and attracted investment from the Chan Zuckerberg Initiative and Google Ventures.
Over 15 years in the tech industry, I built and scaled systems that served millions of users. I know what it takes to make intelligent software work in the real world, not just in a demo.
In 2024, the University of Waterloo recognized my work with the J.W. Graham Medal in Computing and Innovation, an honour I take as motivation to keep pushing what AI can do for businesses that deserve better tools.
"I kept seeing small businesses — clinics especially — sitting on problems that the right AI system could solve in weeks. That's why I built Canopy."
Canopy Lab is how I bring that Silicon Valley experience to physiotherapy clinics and health practices across Canada and the US. My goal is simple: help you recover real revenue from the no-shows and empty slots that are quietly costing you tens of thousands every year.
Every Canopy engagement is handled personally by me. No junior handoffs, no one-size-fits-all templates, just a system built around how your clinic actually works.
Book a free 30-minute assessment. We'll look at your scheduling patterns, estimate what no-shows are actually costing you, and talk through whether Canopy is a fit. You leave with clarity either way.
No commitment. No credit card.