Prove It: Measuring Maintenance Modernization in an Outcome-Driven Market

Maintenance organizations operating complex, heavy-asset environments are investing in AI, predictive maintenance, mobile execution tools, analytics, and automation — but technology investment alone is not enough. For SAP customers, the real challenge is proving that modernization is creating measurable business value. Executive leaders expect to see the connection between SAP EAM improvements and outcomes that matter: asset availability, reduced downtime, lower total cost of ownership, and P&L impact. In this discussion, Rajiv Kumar, Senior Vice President of Customer Operations at Sigga Technologies, and Caleb Jones, Vice President, Strategic Industry Executive for Manufacturing, Energy, Hi-Tech, and Utilities at UiPath, explore how maintenance leaders can move beyond operational activity metrics and build a credible, outcome-driven business case for modernization.

Whether you are deploying predictive maintenance capabilities in SAP PM, rolling out mobile EAM to field technicians, or enabling AI-driven optimization of your preventive maintenance program, the questions you will face from finance and C-level leadership are the same: What baseline did we start from? What changed? What did it cost — and what did it return? This session provides a practical framework for defining the right maintenance KPIs, establishing credible baselines before launching AI or automation initiatives, and connecting work execution data in SAP to the metrics that resonate with CFOs, Boards, and executive leadership.

What You Will Learn

• • How to distinguish between maintenance activity metrics and true business outcome KPIs — and why the difference matters when justifying modernization investments
  • How to establish a credible performance baseline before deploying AI, predictive maintenance, or mobile EAM tools in SAP
  • How to separate direct financial benefits (cost reduction, downtime avoidance) from indirect operational benefits in a maintenance business case
  • Why consistent work execution data — how work is planned, performed, captured, and closed in SAP — is the foundation for measuring AI-enabled modernization credibly
  • How to communicate maintenance outcomes and asset performance improvements in the language of operations, finance, and executive leadership
  • How leading SAP customers in manufacturing, energy, and utilities are connecting EAM modernization to measurable results — including improved asset availability, reduced maintenance repair times, and stronger compliance outcomes

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