# T20 World Cup Case Study

URL: https://praxis-ai.com/innovation-hub/t20-world-cup-case-study/  
Published: 2026-01-28  
Last modified: 2026-10-12T03:35:04Z

> fieldXperience and Praxis AI trained 200+ T20 World Cup staff in two weeks across 3 US cities, with 300% faster speed-to-competency and 50% lower costs.

## Challenges:

The International Cricket Council (ICC) needed to rapidly recruit, train, and manage a diverse workforce for the T20 World Cup across 17 matches in three U.S. cities. They required staff who were passionate about cricket or eager to be part of a global sporting event, could quickly learn about the event, and effectively support the event team.

- Create a cost-effective solution in two weeks
- Recruit and train over 200 interns and volunteers across 17 matches in 3 cities
- Ensure high performance and engagement for a variety roles: guest facing, operations, broadcast, production, etc..

## Objectives:

- **Develop a cost-effective solution** to recruit and train event staff, interns, and volunteers quickly.
- **Create a mobile-first** training platform with AI-powered support for rapid cricket education.
- **Implement a gamified work experience** to incentivize high performance across multiple cities.
- **Provide real-time support and analytics** for ongoing staff development and event management.
- **Establish a scalable model** for future sporting events.

## Solutions

fieldXperience and Praxis AI delivered an innovative, technology-driven workforce management solution:

- **AI-Powered Mobile Training Platform:**

  - Customized AI mentor for personalized guidance
  - Easily digestible modules on cricket, event specifics, and key power skills
  - Pre and post-assessments to measure knowledge gain
- **Real-Time Support with AI Digital Twin:**

  - On-site AI mentor for instant answers to event questions
  - Continuous technical and content support
- **Gamified Work Experience:**

  - Performance tracking through analytics and leaderboards
  - MVP award system with cash prizes
- **Professional Development:**

  - Verified digital badges for LinkedIn and other social media channels

## Outcomes:

1. **Rapid Workforce Mobilization:  
   300% improvement in speed-to-competency**

   - Successfully recruited and trained over 200 staff across three cities within the two-week timeframe
2. **Cost-Effective Staffing Solution:  
   Reduced traditional training costs by 50%**

   - Reduced traditional training costs and time
   - Improved staff retention through gamification and incentives
3. **Real-time Analytics:  
   Millions of AI tokens used = immediate performance -----------optimization**

   - Provided valuable data for placing staff and future event planning and workforce management
4. **Enhanced Fan Experience:**

   - AI mentor used by staff onsite to instantly gain accurate information for fans
5. **Career Development Opportunities:**

   - Over 200 interns digital badges gained and posted gained valuable work experience

*“Our customized AI mentor delivered accurate content in a fun way that improved knowledge retention” - Julie Abbott, Intern/Volunteer Tournament Coordinator*

## Conclusion:

This case study showcases how fieldXperience and Praxis AI's innovative solution revolutionized workforce management for the ICC T20 World Cup, combining cutting-edge technology with a human-first approach to deliver exceptional results. The success of this project not only met the immediate needs of the ICC but also established a new benchmark for event staffing for cricket events, paving the way for future advancements in growing cricket in the U.S.

[View Paper](https://www.linkedin.com/posts/praxis-ai_aiineducation-highered-edtech-activity-7396609034801463297-vE0f?utm_source=share&utm_medium=member_desktop&rcm=ACoAADoeK3gBKd2imGhgpvFVi_hkguAVS-Xo4iM)

[Champlain College](https://www.linkedin.com/posts/praxis-ai_highereducation-edtech-aiineducation-activity-7394509273860538369-PDmf?utm_source=share&utm_medium=member_desktop&rcm=ACoAADoeK3gBKd2imGhgpvFVi_hkguAVS-Xo4iM)

---

Site guide for LLMs: [llms.txt](https://praxis-ai.com/llms.txt)
