From Review to Results: Using AI to Improve Stage-Gate Decisions and Kill the Right Projects Faster

About this event

Stage-Gate should help manufacturers manage risk and make sound investment decisions—not simply add another review checkpoint to the product development process. This practical workshop will explore how native AI can strengthen Stage-Gate by helping teams assess evidence, identify risks and make more informed decisions throughout new product development. Participants will consider how AI can support the critical choices to accelerate a promising project, redirect an uncertain one or stop work before additional time and resources are lost. The workshop will also address the human side of AI-assisted decision-making, including trust, data quality, governance and the continued importance of sound leadership judgment. What You’ll Explore Where native AI can strengthen the Stage-Gate process How to improve the quality and consistency of project evidence Ways to identify risks, gaps and weak assumptions earlier How to use AI without removing human accountability When to accelerate, redirect or stop an innovation project Practical approaches to reducing the innovation “scrap pile” Who Should Attend This workshop is designed for manufacturing leaders and professionals involved in: New product development and innovation Engineering and product management Operations and continuous improvement Strategic planning and investment decisions Technology adoption and AI governance Participants will leave with practical ideas they can apply to make Stage-Gate a more effective risk-management and investment decision process.

Description from catalystconnection.org