easykare combines booking, AI reception, calendar control, payments, notes, and client follow-up into one workflow built for solo wellness professionals.
Today
Prenatal massage
Studio
Virtual consult
Virtual
Sports recovery
Client home
Captured automatically
Deposit link delivered
Intake form queued
Reminder scheduled
The receptionist learns your services, policies, pricing, location rules, and availability patterns. It handles FAQs, qualifies leads, and hands off live chats to you when needed.
Built around solo-provider workflows, not clinic admin overhead
Grounded in the same polished client journey shown on the demo profile
Conversation view
Set split shifts, blackout dates, and appointment location modes. Offer studio visits, mobile sessions at the client’s address, or virtual appointments without manually explaining the difference every time.
Built around solo-provider workflows, not clinic admin overhead
Grounded in the same polished client journey shown on the demo profile
Studio AM
9:00-12:00
1:30-5:00
Mobile PM
9:00-12:00
1:30-5:00
Blackout
9:00-12:00
1:30-5:00
Virtual AM
9:00-12:00
1:30-5:00
Studio Full
9:00-12:00
1:30-5:00
Booking modes
Studio
127 W 8th Ave, Vancouver
Client location
Within 8 km radius
Virtual
Follow-up consults
easyKare identifies clients who haven't booked in 8+ weeks and drafts a personalised re-engagement message for each one. You review, edit, and approve before anything sends — every message sounds like you wrote it.
Built around solo-provider workflows, not clinic admin overhead
Grounded in the same polished client journey shown on the demo profile
Revenue recovery
Emily T.
Deep Tissue · last seen 11 weeks ago
James W.
Sports Recovery · last seen 9 weeks ago
Before each appointment opens, easyKare compiles a brief from session history: pressure preferences, pain level trend, recent focus areas, injury flags, and the last AI conversation summary. No digging through notes — it's already there.
Built around solo-provider workflows, not clinic admin overhead
Grounded in the same polished client journey shown on the demo profile
Client brief · Emily Thompson
Last session
Deep Tissue · 3 wks ago
Total visits
14 sessions
Pressure
Firm
Pain trend
7 → 5 → 4 / 10
Focus areas (last 4 sessions)
Health flags
Postural tension from desk work. No active injuries. Prefers no face cradle for over 30 min.
Collect deposits, capture intake, keep post-session notes attached to the appointment, and trigger reminders or revisit nudges from the same system.
Built around solo-provider workflows, not clinic admin overhead
Grounded in the same polished client journey shown on the demo profile
Checkout and intake
Deep Tissue · 90 min
Deposit required before confirmation
Session note snapshot
Primary concern
Postural neck tension after travel week.
Techniques used
Myofascial release, trigger point work, diaphragmatic reset.
Revisit recommendation
2 weeks for posture follow-up.
Customer view
Your social profile page handles booking and AI chat so you never miss an inquiry — the demo profile is an illustrative example of how yours could look.
Booking page
Deep Tissue Massage
90 min • $140 • choose studio, mobile, or virtual if offered
Chat widget
Core system
Direct page, embedded widget, and link-in-bio flow.
AI-first replies with practitioner handoff.
Split shifts, blackout dates, and location-aware booking.
Studio, client home, or virtual captured at booking.
Deposits, balances, and Stripe-connected checkout.
Session notes and intake tied to the appointment record.
Practitioner-approved re-engagement drafts for lapsed clients.
Pre-session brief with history, pain trends, and health flags.
Notice windows, advance limits, and returning-client locks — enforced at booking.
easykare is early-stage and shaped by real practitioners. Your feedback directly influences what we build next — features, workflows, and the details that matter most to how you run your practice.
Be among the first practitioners to shape the product with 3 months completely free.
Tell us what works, what doesn't, and what you wish existed. We actually respond.
Features are prioritized based on real workflows — not what looks good in a roadmap.