What Service Leaders Get Wrong When Building the AI Business Case - with Ryan Makely of Bruker
Thursday, September 3, 2026
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The speaker reports that parts consumption and cost per case are clear quantifiable starting points for building a hard cost business case for AI-driven service investment in medical device field services.
Field service leaders in medical devices are under pressure to translate operational wins like first-time fix rates into hard financial outcomes their CFOs will fund. In this episode, Ryan Makely, Senior Director, CALID Service at Bruker, examines why conventional service metrics often fail to connect to profit and loss, and how leaders can build a financial case for AI-driven service investment. The conversation covers parts consumption and cost-per-case as low-hanging fruit for hard cost savings, and how aligning business unit goals with company-wide financial objectives helps secure funding for future projects. Learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers - download our media kit at: http://emerj.com/AD3 Field service leaders in medical devices are under pressure to translate operational wins like first-time fix rates into hard financial outcomes their CFOs will fund. In this episode, Ryan Makely, Senior Director, CALID Service at Bruker, examines why conventional service metrics often fail to connect to profit and loss, and how leaders can build a financial case for AI-driven service investment. The conversation covers parts consumption and cost-per-case as low-hanging fruit for hard cost savings, and how aligning business unit goals with company-wide financial objectives helps secure funding for future projects. Learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers - download our media kit at: http://emerj.com/AD3
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Field service leaders in medical devices are under pressure to translate operational wins like first-time fix rates into hard financial outcomes their CFOs will fund. In this episode, Ryan Makely, Senior Director, CALID Service at Bruker, examines why conventional service metrics often fail to connect to profit and loss, and how leaders can build a financial case for AI-driven service investment. The conversation covers parts consumption and cost-per-case as low-hanging fruit for hard cost savings, and how aligning business unit goals with company-wide financial objectives helps secure funding for future projects. Learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers - download our media kit at: http://emerj.com/AD3