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Home » AI Agent & Copilot Podcast: BouMatic’s Michael Fisher Shares Strategies for AI Deployment, User Adoption
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AI Agent & Copilot Podcast: BouMatic’s Michael Fisher Shares Strategies for AI Deployment, User Adoption

John SiefertBy John SiefertOctober 16, 20252 Mins Read
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In this episode of the AI Agent & Copilot Podcast, John Siefert welcomes Michael Fisher, CIO, BouMatic, who shares how his company is using and deploying AI, and gives his overall impressions of the technology and how to address its challenges.

Key Takeaways

  • Overview: Fisher gives an overview of his role as Chief Information Officer at BouMatic, all within the context of the dairy equipment industry that’s evolving toward larger, consolidated operations. BouMatic is the “third largest dairy equipment manufacturer in the world,” and he gives context on the difference in marketplaces.
  • AI: The rapid rollout of copilots and the pace of AI innovation have created a constant need to catch up on functionality, licensing, and deployment strategies, explains Fisher, prompting teams to shift from intended roadmaps to more flexible frameworks. As Fisher describes, “We’re in a bit of a catch-up game all the time… not just with AI in general, but even in its deployment.”
  • Addressing deployment challenges: Deploying AI has revealed long-standing data challenges, which Fisher compares to uncovering a “junk drawer” of neglected information. To address this, the BouMatic team uses sandbox environments for testing and follows a “five-pillar approach.” Two of these pillars focus on user upskilling and cultural change, highlighting successful deployment through use cases, structured rollout plans, and ongoing support to ensure ROI.
  • AI experimentation: When exploring AI, sandbox environments allow teams to experiment safely and securely, learn from both successes and failures, and prepare for production with a user-focused, iterative approach, notes Fisher.

Stream the audio version of this episode here:

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John Siefert

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