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Test - Transforming employee training with AI-driven workflows (Clone) (Clone)

industry:healthcare
$400K+

Annual cost reduction

$400K+

Annual cost reduction

$400K+

Annual cost reduction

Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp

Content management was slow and inconsistent. APIs were fragmented across teams. Infrastructure costs were climbing without a clear return. For a brand competing on premium experience, these weren't just technical problems.
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Bring the question. We will bring the argument, the framework, and the engineers who have shipped it before

Chris, Lorem - VP Digital & Data Fitness Franchise

What We Did and Why

We assembled a cross-functional team with deep .NET expertise and an average of four years of tenure on the account — continuity that made foundational change possible without disrupting daily operations.

Rather than a wholesale replacement, we pursued staged modernization: fixing the most costly inefficiencies first, then building toward a platform capable of supporting long-term innovation.

  • Redesigned global websites and mobile templates on Adobe Experience Manager (AEM), with additional support provided pro bono during COVID-related closures
  • Migrated APIs from MuleSoft to Spring Boot to eliminate fragmentation and improve scalability
  • Consolidated internal workflows covering registration, scheduling, and content delivery
  • Centralized data systems to enable reliable analytics and cleaner reporting
  • Optimized infrastructure spend, achieving over $400K in annual savings
  • Modernized mobile apps from Xamarin to native iOS and Android

Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp

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$400K+ in annual IT cost savings

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Improved scalability across APIs and native app

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Resilient operations maintained through COVID with continued AEM support

Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp

By the time the modernization program reached full stride, the client had moved from a patchwork of legacy systems to an integrated enterprise platform. Faster content publishing. Cleaner member data. Lower infrastructure costs. And a digital backbone ready to support AI-driven personalization at scale.


The drop-off isn't random

Across the fitness platforms we've built and analyzed, the pattern is consistent: 60–70% of users who complete onboarding never return after week three. The trigger isn't price, content quality, or even UX friction — it's the absence of a habit loop.

Users who complete 3+ sessions in week one retain at 4x the rate of those who complete one Push notification timing matters more than copy — contextual beats scheduled Social features increase 30-day retention by 34% when introduced before the day 7.

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What habit architecture looks like

Habit loops aren't designed in marketing — they're built into the product. Streak mechanics, progressive difficulty, personalized scheduling, and coach-to-member nudges all have to be engineered as first-class features, not afterthoughts.


Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp


Where most teams go wrong

The most common mistake is treating engagement as a content problem. Teams add classes, challenges, and programs — without instrumenting which of those actually change behavior. You can't iterate on what you don't measure

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play-btn Meet the people shaping the partnerships, systems, and decisions behind our work

The drop-off isn't random

Across the fitness platforms we've built and analyzed, the pattern is consistent: 60–70% of users who complete onboarding never return after week three. The trigger isn't price, content quality, or even UX friction — it's the absence of a habit loop.

Most platforms optimize for day-one activation: a smooth signup, a compelling first workout, a "you did it" moment. What they miss is the archi

  • Users who complete 3+ sessions in week one retain at 4x the rate of those who complete one
  • Push notification timing matters more than copy — contextual beats scheduled

Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp