The Challenge
With thousands of active members and a wide range of services — from gym memberships and personal training to court bookings and trial sessions — the support team was stretched thin. Members had to call in, visit the front desk, or navigate a clunky app just to book a session or make a payment.
The result was long wait times, missed bookings, frustrated members, and a support team spending most of their day on repetitive tasks instead of solving real problems. Upsell opportunities — like converting a trial member into a full membership — were slipping through the cracks.
Discovery
During the discovery phase, OrcaPods audited the full customer journey — from first inquiry to ongoing membership management. The team mapped every touchpoint where members interacted with staff and identified which interactions were repetitive, high-volume, and suitable for automation.
The Solution
OrcaPods built a WhatsApp-native AI agent that became the primary touchpoint for member interactions. Instead of calling the front desk or opening an app, members could simply message on WhatsApp to get things done.
The agent handles the full range of member needs — from booking a gym session or personal training slot, to reserving a pickleball court, to processing payments and answering questions about membership plans. For anything it can't resolve, it escalates to a human with full context.
What the agent does
Integrations
The Process
Discover
Audited the full member journey across gym, training, courts, and support. Identified 70%+ of interactions as automatable.
Build
Built a WhatsApp-native AI agent with booking, payments, scheduling, and FAQ handling. Integrated with existing booking and payment systems.
Deploy
Rolled out to members over 2 weeks. Started with booking and FAQ, then added payments and court reservations.
Optimize
Tuned response accuracy based on real conversations. Added proactive trial-to-member follow-up sequences that increased conversions.
Results
Response time
Before
~45 min avg
After
Under 2 min
Booking automation
Before
Manual
After
85% self-serve
Support ticket volume
Before
Baseline
After
40% reduction
Trial conversion
Before
12%
After
28%