Anonymised. NDA-respected.
Four scenarios. Same toolkit.
Every case below is anonymised. We do not name clients. We do not invent numbers. The patterns are real; the operations are described in qualitative terms only.
SCENARIO · 01
Elite Academy
Redesigning load management for a junior elite cohort.
CONTEXT
A high-performance academy runs a junior cohort of forty under-eighteens. Travel weeks, training blocks and tournament weeks blur into a single calendar. Two players in the cohort have picked up overuse injuries in the last twelve months. The head coach suspects load mismanagement but the data lives across spreadsheets, GPS vests, gym logs and the wellness questionnaire app.
INTERVENTION
Project Red Eye unifies the data sources into a single warehouse and trains a load-and-recovery model on the cohort. Match minutes, intensity zones, sleep, soreness and historical injury context feed into a weekly indicator delivered as a coach-readable PDF. The coach gets one number per player per week, plus a flagged shortlist.
OUTCOME
The output is qualitative by design. Coaches retain decision authority. The model surfaces players whose recovery curve diverges from the cohort norm before symptoms appear. Parent communication improves because progression and load are documented, not anecdotal.
SCENARIO · 02
National Federation
Accelerating pipeline scouting across regional clubs.
CONTEXT
A national federation runs talent identification through regional coordinators. The pipeline is fragmented: each region uses its own scoring rubric, junior tournament data is incomplete, and the federation cannot answer a basic question — who are the top twenty under-fourteens nationally on a comparable basis.
INTERVENTION
Project Red Eye builds a federated data layer. Regional rubrics map onto a shared schema. Junior tournament results, where available, are ingested and normalised. A scoring model ranks prospects on transferable signals — movement quality from match video samples, ball-strike consistency, point-construction tendencies — alongside results.
OUTCOME
The federation moves from regional anecdote to a defensible national ranking. Investment decisions on national squads are documented. Regional coordinators continue to use their tools — the integration is non-disruptive. The federation can now answer the under-fourteens question in writing.
SCENARIO · 03
Touring Coach
Decoding match patterns inside one travel week.
CONTEXT
A coach travels with a player ranked between two-hundred and five-hundred on tour. Match preparation against an upcoming opponent is currently a four-hour video review the night before. The coach wants tactical density without the time cost.
INTERVENTION
Project Red Eye configures a lightweight pipeline: opponent footage is uploaded, a computer-vision pass extracts shot direction, depth, spin signature and rally length distributions. The coach receives a tactical brief structured around three or four specific tendencies the opponent shows in deciding sets.
OUTCOME
Match preparation drops from four hours to forty minutes, with the same or higher tactical specificity. The brief is reusable — the coach builds a personal opponent library. Project Red Eye does not own the data; the player and coach do, and they keep it after the engagement ends.
SCENARIO · 04
Members Club
Rebuilding member retention with audience intelligence.
CONTEXT
A members club with two thousand active members has a churn problem. Retention dropped six points year-on-year. The general manager has the booking system, the billing system, the CRM and the social audience, but the data is in four silos and produces zero foresight.
INTERVENTION
Project Red Eye builds a churn-risk model on existing data: court usage cadence, programme participation, billing events, social engagement. The model flags at-risk members ninety days before likely churn. The general manager receives a weekly list and a recommended outreach action per member.
OUTCOME
Retention conversations move from reactive to anticipatory. The club retains members it would have lost. Sponsorship conversations gain a defensible audience layer. The data infrastructure stays inside the club's existing platforms — Project Red Eye does not introduce a new SaaS dependency.
Yours is not in this list. Tell us.
These are four patterns. Your operation will have its own. The strategic call is the place where we figure out which AI changes change the most for you.