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AI Strategy & Consulting
AI Use Case Discovery
Fitness & Wellness

AI Use Case Discovery Sprint for a Premium Fitness Club Group


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Problem

Vendor noise, no evidence

A 12-location premium fitness and wellness club group was fielding weekly AI vendor pitches — churn prediction, virtual coaching, front-desk chatbots — with no way to judge which would actually pay off. Member data was fragmented across booking, billing and access-control systems, and a previous chatbot trial had been quietly abandoned after three months.

Solution

Three-week discovery sprint

We delivered a three-week AI use case discovery sprint: stakeholder interviews across five departments, a data-readiness audit of the club systems, and facilitated impact-versus-effort workshops with club managers and trainers. Every shortlisted use case left the sprint with a named owner, a costed business case and a measurable pilot plan the leadership team could act on immediately.

Measurable Impact

What changed after launch

31 candidate AI use cases captured and scored across 5 departments in 3 weeks

Shortlist narrowed to 4 pilot-ready initiatives, each with a costed business case

First pilot, churn-risk flagging for renewals, launched within 8 weeks of the sprint

Two overlapping vendor contracts dropped, trimming projected annual tooling spend by 22%

Tech & Tools Used

What powered the build

Miro
Airtable
Notion
Looker Studio
Python (scikit-learn)
Google BigQuery
Fivetran
Metabase
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