AI Racer and CPG

Overview

The AI Racer Serious Game was designed to immerse participants in a hands-on experience of AI use case development. A Consumer Packaged Goods (CPG) team in the United States participated in a 7-hour session, producing exceptional outcomes. By the end of the day, the team generated 14 AI use cases and achieved remarkable strategic alignment scores:

• 94%: The game increased my understanding of AI use case development.
• 92%: The game increased my confidence in applying AI to business problems.
• 100%: The lessons learned in the game were directly applicable to my business.
• 96%: I felt confident in developing business-focused AI use cases.

AI Use Case Outputs

The use cases developed during the session included structured metadata, ensuring clarity and alignment with business goals. Each output included:

• Use Case Title: A concise and descriptive name.
• Business Goal: The specific objective the use case aimed to achieve.
• KPIs: Key Performance Indicators to measure success.
• AI Task: The specific AI capability or task to be implemented.
• Required Data: Data sets needed to enable the AI solution.
• Stakeholders: Roles and individuals essential to the use case.
• Feasibility Analysis: An evaluation of technical and operational feasibility.

Addressing Change Management

To accelerate AI adoption, the game also tackled critical change management challenges:

Team Structures:

1. Participants identified the need for a structured process to bring forward new ideas for AI use cases.
2. Focus was placed on ensuring alignment between "What" the AI use case aims to achieve and "Why" it matters, without prematurely focusing on the "How".

Diverse Perspectives:

1. The game fostered a collaborative environment, emphasizing the value of diverse viewpoints during AI discussions.
2. Multiple perspectives enabled the group to challenge assumptions and broaden their approach to problem-solving.

Safe Space for Innovation:

1. The game created a safe space to think big while staying grounded in business realities.
2. This balance encouraged participants to explore ambitious AI applications while maintaining practical feasibility.

Team Benefits:

1. Participants recognized AI's potential to free up time, allowing reinvestment in employee development.
2. AI was identified as a critical enabler for achieving business goals and maintaining consistent delivery to retailers.

In-Person Collaboration:

1. The in-person format proved instrumental in fostering meaningful discussions and refining AI use cases.
2. Direct interaction allowed for more dynamic problem-solving and strategic alignment.

Key Takeaways

The AI Racer game provided the CPG team with:

• Enhanced Understanding: Improved knowledge of AI use case development.
• Strategic Confidence: Greater assurance in leveraging AI to solve business challenges.
• Actionable Insights: Clear steps to integrate AI into their workflows and achieve measurable outcomes.
• Collaborative Energy: A unified team approach to tackling AI adoption.

The session not only produced actionable use cases but also empowered the team with the confidence and tools to drive AI adoption and innovation across the organization. The blend of structured outputs, diverse perspectives, and collaborative problem-solving laid the foundation for sustained AI success.