Podium AI - Governance that Wins
Responsible AI for sport: safer athletes, fairer talent, transparent decisions.
Your journey to a responsible AI-driven sports business starts here.
UK sport is already being pulled into the EU AI Act slipstream while juggling integrity crises (officiating errors, gambling breaches) and hard-nosed growth targets.
If you can’t show credible AI-governance in the next 12–18 months, sponsors, regulators and broadcast partners will tighten the screws.
Move first and turn compliance pain into an edge: athlete welfare protected, inclusive talent pipelines, decisions you can defend, and fan trust that sticks.
Why responsible AI in sport matters
Win trust, protect people, and grow revenue - without compromising the game
Protect integrity & fair play — Use bias-tested models, explainable decisions, human oversight, and clear AI disclosures across officiating, selection and fan tools.
Data management & duty of care — Govern athlete biometrics and fan data end-to-end with clinical-grade triage checks, incident reporting and accountable vendors.
Protect athlete IP & identity — Defend athlete likeness, club marks and sponsor rights with rights-cleared inputs/outputs, watermark controls, and IP warranties/indemnities.
Commercial wins, compliant by design — Label generative outputs, watermark synthetic media, and harden contracts so partner non-compliance doesn’t become your liability.
Our Services
Get Grounded (1-Day Sprint)
A fast, practical reset to make your leadership team credible on Responsible AI, by tomorrow.
Morning: AI Confidence (½-Day Workshop)
Plain-English AI fundamentals and current use-cases in sport.
Governance & legal landscape (EU AI Act implications for UK sport; UK data law; safeguarding).
Risk hotspots: biometrics, talent ID bias, fan-data privacy, officiating transparency.
Afternoon: Policy & Comms Build (½-Day)
Basic AI Governance Policy (fit-for-purpose, not shelf-ware).
Employee briefing pack (what’s allowed, what’s not, how to escalate risk).
High-level AI Management Roadmap (ISO/IEC 42001-aligned milestones, 90-day plan).
Who should attend: CEO/MD, COO, CTO, Compliance/Governance, Performance/Data, Digital/Innovation, Legal/Comms.
Outputs in 24 hours: draft policy, staff briefing deck, risk register starter, 90-day action plan.
Level Up (3-day discovery)
Deep-dive, evidence-based programme to operationalise Responsible AI across your organisation.
Day 1 – Foundations & Foresight
AI fundamentals, trends & legal horizon-scan tailored to cycling/triathlon.
Intro to AI Management System governance (ISO/IEC 42001 principles, roles, controls).
Overview of the UK Government’s emerging AI Skills Framework and what it means for teams.
Day 2 – Discovery & Risk
AI Discovery Audit: map current tools, data flows, vendors and shadow AI.
Risk “hot zones” identified for future assessment (bias, safety, privacy, IP/content rights).
Stakeholder interviews (exec, performance, medical, safeguarding, grassroots).
Day 3 – Roadmap & Capability
Actionable AI Roadmap (ISO/IEC 42001-based) with controls, KPIs and owners.
Employee skills roadmap (roles, competencies, training path).
Internal communications plan to keep Responsible AI living beyond week one.
Deliverables: discovery report, risk heat-map, priority use-cases, procurement guardrails, comms & training plan, 6-month governance schedule.
Where this lands value, fast
Bias-audited talent ID you can defend publicly.
Privacy-preserving athlete-health analytics (safeguarding first).
Transparent officiating & selection (explainability on tap).
Sponsor-ready governance for due diligence and board sign-off.
Next step: Book a 30-minute scoping call. We’ll benchmark your current risk, select two “quick-win” use cases, and confirm which track to follow. Get Grounded or Level Up fits into your season calendar.