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Daxko is taking an AI-first approach to fitness and wellness software

Why Daxko is taking an AI-first approach to fitness and wellness software

By Wendy White
Published On Dec 18, 2025
Updated On Dec 18, 2025

Building the next chapter of AI at Daxko

For more than 25 years, Daxko’s software has been the system clubs and nonprofits rely on to run their business. Every day, our platforms handle the real work of membership, billing, scheduling, engagement, and payments across millions of members and thousands of facilities.

That matters, because AI only works when it is grounded in real operations.

Long before “AI-first” became a headline, Daxko has been using machine learning models to power key parts of our products. We’ve applied data-driven models to improve retention, optimize engagement, and surface insights that help operators make better decisions. What we’re doing now is taking that foundation and applying it more broadly and more deliberately across how our platforms work.

As someone who has spent years listening to operators talk about where software helps and where it gets in the way, this shift feels both practical and overdue.

Our recently announced Daxko AI-first strategy is about embedding intelligence directly into the workflows clubs already depend on, not adding another layer of disconnected tools.

Foundation we are building on

Today, Daxko’s member management platforms form the operational backbone for fitness and wellness organizations. These platforms already execute the critical workflows that keep clubs running, including membership and billing, contracts, digital check-in, scheduling and reservations, member communications, reporting, staff mobility, and member self-service.

This execution layer is what makes AI genuinely useful.

Operators shouldn’t have to duct-tape systems together just to get through the day. Rather than forcing teams to stitch together separate tools, we are embedding intelligence deeper into the platform itself. Over time, this means fewer disconnected systems and more automation happening inside the workflows teams already use. Data works harder. Processes get cleaner. Partners integrate more tightly.

AI capabilities customers are already using today

Across our Engage products, customers are already using intelligence-driven automation to save time and improve results.

Daxko Engage Pro brings together lead management, engagement, and lifecycle automation in a single engine. It helps clubs capture and convert leads, personalize outreach based on real behavior, and automate follow-ups across email and SMS. AI accelerates campaign creation, triggers re-engagement based on activity signals, and provides clear visibility into conversion and performance. The result is less manual effort and more consistent follow-through.

Daxko Engage uses predictive intelligence to support retention and engagement. It identifies members who may be at risk and automates timely outreach so teams can intervene before churn happens. Instead of staff constantly monitoring dashboards, the system helps surface where attention is needed and acts on it.

Zen Planner Engage takes automation even further with a 24/7 AI assistant designed for gym operations and member experience. It answers calls, captures leads, schedules appointments, and manages SMS and chat even when the gym is closed. It also supports marketing content creation, review management, reminders, renewals, and re-engagement. It handles booking, engagement, admin, and marketing so staff can focus on coaching and community.

Daxko’s digital marketing automation uses advanced AI to improve paid media performance. It analyzes audience signals, predicts opportunities, and continuously optimizes creative, targeting, and spend. Teams can launch smarter campaigns, scale faster, and drive stronger returns without spending hours adjusting ads by hand.

The power of the Daxko Exchange ecosystem

One of Daxko’s strengths is that customers do not have to choose between a strong core platform and innovation at the edge. The Daxko Exchange ecosystem extends our systems with AI-powered partners that solve specific problems while staying connected to the operational core.

Today, customers are using conversational AI platforms to automate member communication, feedback collection, retention outreach, and real-time support through chat and text. Partners like KeepMe, Gleantap, DXFactor, MaxMembers, and Capacity help clubs stay responsive without adding staff overhead.

In fundraising and donor engagement, AI-driven platforms help nonprofits increase donations, optimize campaigns, surface donor insights, and capture matching revenue automatically. Partners such as Blackbaud Raiser’s Edge, Bloomerang, Funraise, GoFundMe Pro, Givelify, GiveSmart, and 360MatchPro bring intelligence to fundraising workflows that used to require heavy manual effort.

Marketing automation partners like Constant Contact, Mailchimp, and ActiveCampaign help operators nurture leads and optimize campaigns across channels. Loyalty and referral platforms like Perkville drive acquisition and retention through personalized incentives. Tools like BIB support safer, faster hiring through AI-powered screening. Business intelligence platforms such as Domo and Tableau help surface trends and risks across operations. Payments and financial automation partners like Fullsteam and Fortis reduce friction and improve financial visibility.

This ecosystem matters because customers can adopt automation today and continue to benefit as intelligence becomes more deeply embedded across the platform over time.

For a complete and current view of our partner ecosystem, visit Daxko Exchange.

Where this is going next

Our AI-first strategy builds on everything above. It brings intelligence closer to the source of truth, surrounded by the security, compliance, and operational context our customers already trust.

It moves software away from click-heavy workflows and toward intent-driven experiences. Instead of hunting through menus, staff and members can say what they need and let the system handle the rest.

We have been using machine learning for years. What changes now is the scope, the depth, and how tightly it is woven into our platforms. AI is no longer something that sits alongside the software. It becomes part of how the software works.

That is how automation becomes dependable, scalable, and genuinely helpful for operators and the communities they serve.