Fitness is one of the most relationship-driven businesses in the world.
That’s why the rise of artificial intelligence in gym and studio operations raises a natural question for operators: how can they benefit from AI without weakening the human connections that define the member experience?
The answer, says Dheeraj Koneru, Co-Founder & SVP – Fitness for Zenoti, lies in understanding which parts of the member journey are most enhanced using automation and which require human judgment, empathy and trust. Or put more simply, when should AI step in and when should it step out.
“The way we think about AI is very simple,” Koneru says. “AI should handle the friction so humans can focus on the connection.”
Across the fitness industry, that partnership is beginning to take shape around three key moments in the member lifecycle: conversion, retention and collections. Each presents opportunities where AI can improve responsiveness and visibility, while staff remain central to touchpoints that require context and care.
Conversion: Where the Relationship Begins
For many operators, the member relationship begins with a lead and that moment often determines whether a prospect ever walks through the door.
In today’s environment, leads arrive from many sources: website forms, social media ads, guest passes, referrals and walk-ins. Responding quickly can make the difference between a conversion and a missed opportunity.
AI can step in here by responding instantly to new inquiries, answering common questions and helping prospects take the next step.
“Speed matters a lot in conversion,” Koneru says. “If someone submits a lead and hears back immediately, the experience already feels more responsive.”
For example, a prospect might fill out a form asking about class schedules or membership options. An AI voice or messaging assistant can respond within seconds, confirm the prospect’s goals and help schedule a tour or introductory class.
That interaction might sound something like:
“Hi Jamie, thanks for reaching out. Are you looking for strength training, group classes or something else?”
Once the conversation moves beyond basic information, the system can escalate the interaction to a staff member.
Transparency and escalation paths are key guardrails, Koneru says. AI should identify itself clearly and provide an easy path to speak with a human when questions become more complex.
“AI should never trap someone in a loop,” Koneru explains. “If a prospect says they’d prefer to speak with someone, that handoff should happen immediately.”
Zenoti also understands that the conversion process must be carefully tracked – and visible.
In many gyms, leads pass through multiple systems and interactions before converting or disappearing. Operators often lack a clear view of what happened after the first inquiry.
Zenoti’s Complete Lead Visibility changes that dynamic by capturing each step of the journey and giving operators a clear view of the full sequence: Did the lead receive follow-up within five minutes? Was a tour scheduled? Did the prospect attend a class before joining?
“When you can see every interaction – and its impact – coaching your team becomes much more precise,” Koneru says.
A manager might notice that leads convert at a 28 percent rate when a call happens within five minutes, but only 8 percent when the first contact happens an hour later, or that inviting prospects to attend a class before committing generates better outcomes.
Instead of guessing what works, teams can learn from real data and replicate successful behaviors.
AI Spots the Signals Humans Can’t
Retention is where the partnership between AI and staff becomes most visible.
Most member cancellations don’t happen suddenly. They develop gradually through small changes in behavior that are easy for a team to miss but easy for AI to detect. A member who typically visits three times a week may begin coming only once every ten days. A regular class attendee might stop booking their usual Thursday session. Emails go unopened, and activity in the club’s app gradually declines. “Those are early signals of disengagement,” Koneru says. “AI is very good at spotting those patterns immediately across thousands of members.”
When those signals appear, AI can initiate the first layer of intervention.
A simple message might go out:
“Hey Alex, we noticed you haven’t been in for a bit. Want me to reserve a spot in your usual Tuesday class?”
Often, that’s enough to bring someone back into their routine.
Members appreciate small reminders that reflect their preferences and habits. AI can track which instructors someone likes, what time of day they typically work out and which classes they tend to book.
But if the member continues to disengage, a more personal conversation needs to happen.
“That’s when a human should step in,” Koneru says. “A coach or membership advisor can reach out directly.”
By the time that call happens, the staff member already has context. Attendance history, favorite classes and recent engagement patterns are visible, so the conversation becomes more informed and more personal.
Maybe the member changed jobs and their schedule shifted. Maybe they had an injury and need guidance returning safely. Maybe they simply lost momentum. That context allows staff to respond thoughtfully and help the member reconnect with their goals.
Collections: Protecting the Relationship
Collections represent another sensitive moment in the member journey.
In many cases, missed payments happen because of routine issues such as expired credit cards or changes to banking information. Addressing those situations quickly helps avoid unnecessary disruption.
AI can manage the first layer of communication through simple reminders.
“It might send a message like, ‘It looks like your payment didn’t go through. Would you like to update your card so your membership continues without interruption?’” Koneru says.
The process can include a secure link that allows the member to update their information in seconds. This quick resolution keeps the interaction straightforward and avoids the awkwardness of prolonged follow-up.
Koneru says tone matters in these interactions. Early messages should remain service-oriented and helpful. As time passes, reminders can become firmer while still maintaining respect for the member relationship.
“There are certain things AI should never do,” Koneru says. “It shouldn’t use threatening language, and it shouldn’t make someone feel embarrassed about the situation.”
If the issue becomes more complicated, staff can step in to work directly with the member.
Handled thoughtfully, the process preserves goodwill while ensuring the business remains financially healthy.
In Koneru’s view, AI performs best in areas where speed, data analysis and consistency matter. Humans excel in moments that require empathy, motivation and trust.
Operators who understand that balance can improve responsiveness while preserving the human relationships that define successful fitness businesses.
“In the end, the most successful clubs won’t be the ones that automate the most,” Koneru says. “They’ll be the ones that understand where automation helps relationships — and where it should step aside.
