AI in Action Program: From Talk to Traction

Nearly 50% of the most promising AI use cases (like generative AI) never reached production last year. Use cases not aligned with a substantial financial driver or a critical business imperative are often dead-on-arrival. 

The AI in Action program is a unique approach that leverages a gamified AI experience to closely align learning with strategic business priorities.

The outcome?

A series of highly defined and prioritized AI use cases taking you from ideation to feasible application. 

No more misaligned AI use cases that are dead-on-arrival.

 

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How AI in Action Blends Gamified AI with Strategic Business Impacts

The 5-day program, led by Fresche Solutions and our partners see6, is a team-based simulation that puts business leaders in the driver’s seat of a Le Mans race team.  

No static slides or generic training. It's an immersive, hands-on, cross-functional game to activate AI knowledge, drive insights, gain buy-in, and align business decisions, mapped to specific high-value outcomes. 

Phase 1: The Simulation
  • Introduction to AI: Reintroduce the myths and truths of AI, emphasizing practical applications in day-to-day operations. 

  • Current State Analysis & Understanding: Understand common operational challenges within the business

  • AI Capability Development: Showcase how AI can enable more strategic, data-driven decisions.

  • Use Case Prioritization: Participants select and rank the most impactful AI use cases for their business.

AI in Action: The Simulation
AI in Action: Practical Business Application
Phase 2: Deep Practical Application

Follow-up sessions convert simulations into an AI action plan: 

  • Use Case Deep Dive Sessions: Leaders collaborate to evaluate and refine each use case, including feasibility.

  • Technical Feasibility Analysis: Use cases are assessed for technical needs, data readiness, and possible challenges.

  • Reporting and Documentation: A detailed report outlines each selected use case and its business context.

  • Re-prioritization of Use Cases: Use cases are re-prioritized based on the findings in previous steps. 

  • Presentation and Feedback: Stakeholders review the solutions and agree on the top use case to implement.

  • Project Solution Approach: A detailed project solution approach and cost model are developed for the use case.

Trusted By Business Leaders Globally

What AI in Action Delivers

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Foundational Understanding of AI Impact

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Cross-Functional Team Buy-in

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Meticulous AI Use Case Ideation Process

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Detailed Technical Documentation

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Unanimous Use Case Alignment

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Comprehensive AI Execution Roadmap

 

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How AI in Action Identified 16 AI Use Cases and a Structured Path to Execution for a Regional Distributor

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