Connected Team
When every coach and every player has their own Ai, and all of them share one intelligence layer, things become possible that no platform has done before. Wearable data from every device your players already own flows in automatically. Information reaches the right person at the right time — with a complete audit trail behind every action.
- Player mentions knee soreness at 10 PM — by 6 AM it's in the coach's briefing, the trainer's queue, and the risk model. No forms.
- Cross-roster pattern detection: four players with declining HRV correlated with their travel schedule — the Ai connects it first
- Every modification, risk flag, and interaction documented automatically — compliance reporting that builds itself
Intelligence Flow — Live
9:47 PM — Player Conversation
Devon W. → Player Ai
Player
"Left knee felt tight during lateral shuffles, maybe a 3 out of 10."
↓
9:47 PM — Automated Platform Actions
Risk Model Updated
Auto
Devon's injury risk score: 22 → 58. Left knee flagged. Prior history: none. WHOOP HRV nominal.
Wearable Context Added
Auto
Garmin: 8,400 steps practice day (normal). Oura sleep: pending overnight sync.
↓
6:00 AM — Morning Delivery
Coach Ai → Coach Williams
Coach
Devon W. reported L knee soreness (3/10) post-practice. Risk score elevated. Recommend AT eval before training.
Alert → Sarah Chen, ATC
Trainer
Devon W. — L knee tightness during lateral movement. No swelling. Full history and risk profile attached.
What just happened
One casual comment from a player at 10 PM reached 3 people, updated 2 models, and generated an action plan — all before anyone walked into the building.