Save Date 2026: Service & Warranty Lifecycle Summit (Oct 19-21)

AI OPPORTUNITY MAP: 10 Projects Transforming Service and Warranty

The MAPconnected AI Opportunity Map helps service and warranty leaders evaluate ten actionable AI projects and build a phased implementation roadmap.

Where should service and warranty leaders focus their AI investment first? Across warranty, quality, technical assistance, field service, customer experience, engineering, supplier quality, product support and aftermarket operations, the number of possible AI applications is growing quickly. The more difficult question is not whether AI can play a role. It is deciding which projects can […]

What Is MyWarrantyNetwork—and Why Are Warranty Leaders Joining?

What is MyWarrantyNetwork? Learn how MAPconnected evolved from an annual summit into an always-on professional network connecting warranty, service, quality, and lifecycle leaders through peer collaboration, benchmarking, virtual events, and industry insight.

AI-SWLM Think Tank Launches Showcase Series on AI in the Service & Warranty Lifecycle

AI-SWLM logo

AI in the service and warranty lifecycle has shifted from future potential to real-world execution. Through the AI-SWLM Think Tank and Sponsored Showcase Series, OEMs, suppliers, and technology leaders are sharing practical case studies that reduce warranty cost leakage, improve claims accuracy, detect issues earlier, and turn fragmented data into actionable intelligence.

Fixing the Hidden Margin Leak in Warranty Claims

Warranty leakage often isn’t caused by policy—it’s caused by execution across disconnected systems, manual reviews, and fragmented workflows. In an upcoming MAPconnected webinar discussion with Stellantis & ServiceNow, OEM leaders will examine how manufacturers are reducing claim leakage and improving margin across the warranty lifecycle.

Decision Intelligence Is Reshaping the Service & Warranty Lifecycle

Across the automotive and equipment ecosystem, organizations are navigating a fundamental shift in how decisions are made. Artificial intelligence is no longer experimental—it is becoming an operational requirement. Nowhere is this more evident than across service parts and warranty operations, where complexity, volume, and cost pressures collide.