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Home » AI Industry Accelerator: Leading AI Change in a Manufacturing Organization
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AI Industry Accelerator: Leading AI Change in a Manufacturing Organization

DSC AdminBy DSC AdminMarch 19, 2026Updated:April 28, 20262 Mins Read
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This session explores why and how manufacturing organizations should adopt Copilot and AI to modernize daily work. It focuses on the human and organizational side of change—how to introduce AI safely, encourage adoption, and build trust across departments while improving efficiency in ERP, shipping, and planning processes.

Trends: AI is moving from novelty to necessity. Manufacturing companies face growing pressure to do more with fewer resources. This session connects those industry trends to Copilot’s role in creating a more informed, collaborative, and responsive workforce.

Industry Specific: Highlights how AI adoption in manufacturing improves real outcomes: faster data review, improved purchasing accuracy, and reduced administrative overhead for operations and engineering teams.

How To/Tutorial: Walkthrough of building a 30-minute training plan for Copilot use in Outlook, Word, and Teams, including example prompts and tracking adoption metrics.

  • Learning Objective 1: Understand the key factors and frameworks for introducing Copilot in manufacturing and ERP-driven environments.
  • Learning Objective 2: Identify effective change management practices that balance innovation with governance and user confidence.
  • Learning Objective 3: Learn how to design short, role-based Copilot training sessions that build adoption momentum.

Terms: All rights reserved by the speaker, AI Agent & Copilot Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.

Speakers
Zach Hudson, M365 Engineer, Lindsay Corporation
Michelle Francis,Sr System Analyst, Lindsay Corporation
Pam Misialek, VP, Community Director, Dynamic Communities

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