Made for organizations already investing in AI and for those accelerating now, helping teams scale execution from early pilots to production rollout across business units. Government entities, private companies, and universities can apply with cross-functional teams. No coding is required, but teams should be working on a real challenge their organization cares about.
Recommended roles in each team:
- Business leader or department owner (problem owner and decision maker)
- Project manager or product owner (delivery and coordination)
- Transformation, innovation, digital, or operations lead (implementation readiness)
- Tech lead, IT developer, automation specialist, or data lead (build support)
Team sizeStrongly recommended- 1 to 2 IT or AI champions in each team to support implementation planning and integration readiness
Track specific team composition:Government track- Service owner or department head (problem owner)
- PM or transformation lead (delivery and stakeholder alignment)
- Operations lead (process knowledge)
- IT or digital lead (integration)
- Data or analytics lead (measurement)
Corporate track- Business unit owner (problem owner)
- PM or product owner (delivery)
- Operations lead (process knowledge)
- IT, automation, or tech lead (integration)
- Data, finance, or performance lead (ROI and metrics)
Education track- Faculty lead or program director (problem owner)
- Academic or learning designer (use case and adoption design)
- EdTech or IT lead (systems and integration)
- Data or analytics lead (measurement and evaluation)
- Student services or admin lead (process ownership)
Optional: 1 to 2 student contributors for testing and feedback