Why it matters
Without this system, players face doping violations, unsafe supplement use, missing TUE documentation, failure to meet whereabouts obligations, and gaps in safeguarding education that can endanger health and tournament eligibility.
From design to safety
Design
AI-guided safety program design
Define data sources, governance rules, and alert thresholds for anti-doping and supplement safety within the academy's safety framework; specify required records, sign-offs, data retention policies, and cross-department responsibilities.
- prohibited_list_database
- tue_management_system
- whereabouts_tracking_records
Build
System integration and data pipelines
Ingest ITIA feeds, configure TUE linkage, build batch verification over supplement logs, test real-time risk scoring with sample player profiles, test events, and a change-control log.
- supplement_batch_tracking
- itia_education_modules
- anti_doping_incident_logs
Operation
Active monitoring and alerts
Continuously monitor for data drift, missing submissions, or conflicts; automatic risk scoring triggers education prompts, staff reviews, compliance reports, federation submissions, and incident escalation.
- prohibited_list_database
- whereabouts_tracking_records
- anti_doping_incident_logs
Maintenance
Ongoing data hygiene and audits
Weekly refresh of prohibited lists, expiry checks on TUEs, reconciliation of whereabouts data, archival of alerts with ownership, action traces, and periodic validation audits.
- tue_management_system
- supplement_batch_tracking
- anti_doping_incident_logs
Safety
Final approver sign-offs and safeguarding
Qualified leads conduct final reviews of flagged items, approve remediation steps, ensure reporting aligns with ITIA and national federation standards, and document safeguarding sign-offs with audit trails.
- itia_education_modules
- prohibited_list_database
- whereabouts_tracking_records
Part by part
- 1
prohibited_list_database
- Watch for
- Prohibited substance on list not recognized by player or staff; mismatch between list version and event; repeated updates require reconciliation.
- AI action
- Flag mismatch; prompt verification by safeguarding lead and IT/Compliance.
- 2
tue_management_system
- Watch for
- Expired or overridden TUEs; missing essential medical documentation; improper linkage to player file.
- AI action
- Trigger alert to medical lead; request updated TUE documentation.
- 3
whereabouts_tracking_records
- Watch for
- Missed or incomplete location data; non-compliance indicators; frequent late submissions.
- AI action
- Generate reminder and escalate to safeguarding lead; schedule probation review.
- 4
supplement_batch_tracking
- Watch for
- Unverified supplement batch with risky ingredients; batch not linked to player profile; supplier data misalignment.
- AI action
- Cross-check with supplier batch data; issue caution and education prompt.
- 5
itia_education_modules
- Watch for
- Missed ITIA education module completion; insufficient knowledge check; low assessment scores.
- AI action
- Assign module, set completion deadline, and record learning progress.
- 6
anti_doping_incident_logs
- Watch for
- Inadequate incident documentation or delayed reporting; missing witness statements.
- AI action
- Flag for log completion; route to safeguarding and compliance review.
Worked example
Understanding a traceable supplement risk
Illustrative scenario with sample data.
A player receives a new supplement sample; batch data not yet linked to the player profile; ITIA module status incomplete.
Signal in
batch_id: B-4217, product: Energy Boost XT, listed_ingredients: caffeine, creatine, list_version: 2026-11-01, player_id: P-0093, date_received: 2026-10-25, ITIA_module_status: incomplete, location: locker_7, expiry_date: 2027-04-01
System out
Alert raised: unverified batch linked to player; risk assessment queued; player advised to avoid use until verification completes; ITIA module assignment triggered; safeguarding notified.
Human sign-off: Head of safeguarding reviews the alert, confirms batch compliance, approves educational steps, signs off on any further testing, and informs the academy director.
How to roll it out
Phase 1
Weeks 1 to 4: Baseline
Establish data feeds, assign owners, validate list syncing, confirm TUE linkage with master records, and set up initial audits.
Phase 2
Weeks 5 to 8: Compliance checks
Run end-to-end tests of referrals, education prompts, incident logging, batch verification against supplier data, and cross-department sign-off routines.
Phase 3
Weeks 9 to 12: Live audit
Operate in production with real players; monitor alerts, tune thresholds, finalize governance handoffs, and implement continuous improvement loops.
Where people stay in charge
- Decisions on banning or restricting a player must be made by the safeguarding lead or medical lead after review of evidence.
- All ITIA and federation reporting decisions must be signed off by the academy director and IT/compliance officer.
- Education assignments and completion evidence must be verified by the safeguarding lead and medical chief.
Questions owners and crews ask
How does AI help in managing anti-doping education for players?
AI automates education assignment, tracks completion, and prompts follow-up actions when data indicates gaps or gaps in understanding, improving consistency and safety.
What happens if a player uses an unverified supplement?
The system flags the batch; the safeguarding lead reviews, advises the player, and may suspend use pending verification and guidance.
Who reviews TUEs and whereabouts in the academy?
Medical lead, safeguarding lead, and ITIA-compliance officer jointly review TUE validity and whereabouts notices.
How are incidents documented and audited?
Incidents are recorded in a centralized log with timestamps, signatures, and audit trails for federation reporting and internal review.