Product
Leads book trials. Families connect. Payments recover. Coaches see the next action.
Roster
18/22
Parents
Linked
Check-in
Live
Actual platform motion
Keep the animated UI doing the selling: reception messages, family links, roster pressure, and revenue recovery all moving together.
AI reception
Maya
21:04
Do you have beginner classes for my 8yo?
AI
21:04
Tuesday 4pm has space. Want me to book a trial?
Maya
21:05
Yes please. Can coaches handle nervous kids?
AI
21:05
Yes. I added a note for the coach and sent confirmation.
Family graph
Lisa
Guardian + payer
Ari
Kids BJJ
Noah
Tiny champs
Sibling discount
-10%
Tonight
Money engine
Failed card
Retry succeeded
$214
Family invoice
Payer reconciled
$278
Trial offer
Converted
$179
$79-$349
public SMB pricing
14 days
migration promise
20+
AI-native workflows
AU
rails, GST, local operators
Operating system
The AI is not magic dust. It works because the underlying system knows the family graph, schedule, pricing, policies, attendance, payment state, and owner preferences.
Answers web chat, SMS, email, and voice with your prices, timetable, trial rules, policies, and escalation preferences.
<60s
TatamiOS treats families as first-class customers instead of linked-account workarounds and duplicate records.
1 graph
Recovery, dunning, plan changes, invoice exceptions, GST-aware billing, and family payer logic surface as prepared work.
$1.2k
Bookings, attendance, ranks, coach notes, capacity, waitlists, and member signals stay tied to the daily rhythm.
312
Flagship AI moat
The agent can answer questions, recommend classes, capture leads, book trials, draft follow-up, and escalate high-risk conversations with context. The important part: it knows what it is allowed to do.
01
Lead asks
Do you have beginner classes for my 8 year old?
02
TatamiOS reads
Age rules, program capacity, timetable, pricing, intro offer, owner tone.
03
TatamiOS acts
Books trial, captures guardian, sends SMS, creates follow-up task.
04
Owner sees
One lead timeline with source, class, family, payment readiness, and next action.
Parents have their own login, communication preferences, payer relationships, pickup permissions, child profiles, discounts, invoices, and consent state.
TatamiOS tracks payment state, failed retries, invoices, plan changes, expiring cards, and member risk as part of the same operating timeline.
Why this can be big
Market wedge
Youth programs, family billing, and martial arts are underserved by generic wellness CRMs.
Distribution
GymDesk migration, competitor pages, founder-led demos, and local AU payment rails create high-intent entry points.
Moat
AI agents are useful because they sit on native gym data: family graph, schedule, billing, attendance, ranks, and policies.
Expansion
Reception leads into billing, parent digest, retention, multi-location, forecasting, and network operations.
Product moat
Every booking, payment, check-in, rank change, lead reply, and family update strengthens the operating graph. That is why the AI layer can graduate from answering questions to recommending decisions.
01
Capture
Leads, families, attendance, payments
02
Understand
Risk, intent, eligibility, next best action
03
Act
Draft, book, recover, route, escalate
04
Improve
Owner feedback tunes the system
TatamiOS sells when the buyer can see the daily operating leverage: fewer missed leads, cleaner families, recovered revenue, and a safer switch.