
Building the AI Business Case Your C-Suite Will Actually Fund
From first AI use case to executive buy-In: Lessons from Peak Scientific’s VP of Global Service

Whitepaper
The pressure to invest in AI across field service organizations has moved faster than most leaders can build the business case to fund it, and the cultural foundation to sustain it.
Field service leaders are under board-level pressure to adopt AI, but the path from idea to funded initiative is rarely clear. Most organizations treat deployment as a technology decision rather than a business transformation, and stall before the rollout ever reaches the frontline.
The breakdown is rarely the technology itself. Leaders build financial models that satisfy the CFO but mean nothing to the engineers expected to change how they work, or they pitch employee experience and lose the room when finance asks for the numbers. One-dimensional cases fail in both directions.
This playbook captures a proven framework from a global service leader who has walked the path. It separates the ROI case that secures C-suite approval from the ROE case that sustains adoption, and shows how to tailor each conversation before a single vendor is evaluated.
This guide is built for service leaders who need to move from board-level interest to a funded, adopted AI initiative.
What’s Inside:
The Dual Value Framework
Learn why every AI initiative must deliver two streams of value, and how to separate the ROI story from the return-on-employee case.
Tailor the story to the room
See how to translate operational outcomes into language the CFO, COO, CPO, and CIO each need before they will sign off.
Build the ROI case that gets approved
Understand why a small number of credible, P&L-anchored metrics outperform exhaustive savings categories in the boardroom.
Lead the change, not just the rollout
Discover how the ADKAR framework turns an AI deployment into a sustained shift in how the frontline works and delivers value.
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