AI is moving quickly across the service and warranty lifecycle—but the conversation is shifting.
The focus is no longer on potential. It’s on execution.
Where is AI actually working? What problems is it solving today? And what does measurable improvement look like in practice?
Through the AI-SWLM Think Tank, OEMs, technology leaders, and AI experts are working through these questions using real use cases and Proof of Concept deployments across claims, quality, and lifecycle operations.
Two upcoming sessions in the AI-SWLM Think Tank Sponsored Showcase Series bring this into focus—highlighting how manufacturers are applying AI to reduce cost, improve decision-making, and move toward more connected, continuous intelligence across the lifecycle.
Fix the Leak: Reducing Warranty Costs and Reclaiming Margin Across the Claims Lifecycle
Stellantis & ServiceNow Case Study | Sponsored by ServiceNow
📅 April 23 | 11:00 AM – 12:00 PM ET | Virtual | Open to All
Warranty leakage remains one of the most persistent—and often underestimated—margin challenges across OEM organizations.
The issue is rarely policy. It’s execution.
Disconnected systems, manual validation, and fragmented workflows create gaps across the claims lifecycle—from intake and approval to supplier recovery and accountability.
This session brings together OEM and platform perspectives to examine how manufacturers are addressing these gaps using AI and workflow automation.
Featuring:
- Jerome Clerc, IT Domain Manager, Aftersales – Warranty & Recall Campaign, Stellantis
- Abhi Rele, Head of Product, Manufacturing, ServiceNow
Discussion will explore:
- Where leakage occurs across the claims lifecycle
- How AI-assisted review is improving consistency and reducing manual effort
- Connecting claims, supplier recovery, and root cause data
- What a realistic 12-month improvement path looks like
This case study reflects work being actively advanced within the AI-SWLM Think Tank, where members are applying AI directly within claims workflows to improve accuracy, speed, and cost recovery outcomes.
To Infinity (Loop) and Beyond: Advancing Continuous Quality Diagnostics
Upstream Case Study | Sponsored by Upstream Security
📅 April 30 | 11:00 AM – 12:00 PM ET | Virtual | Open to All
As vehicles become increasingly software-defined, the limitations of traditional quality processes are becoming more visible.
Field quality has historically relied on repair orders and warranty claims—introducing delays between when an issue occurs and when it is understood.
This session explores how AI-enabled systems are shifting quality from reactive diagnostics to continuous, data-driven intelligence loops.
Speaker:
- Arnon Shafir, VP of Automotive Data Intelligence & AI, Upstream Security
Key themes include:
- Moving from post-claim visibility to earlier risk detection
- Applying AI to identify patterns across fleet, component, and production data
- Accelerating root cause analysis across disconnected systems
- Enabling closed-loop feedback between service, engineering, and production
At the center of this shift is data. OEMs already generate vast amounts across telemetry, warranty, and production systems—but without integration, its value remains limited.
This session examines how connecting and contextualizing that data enables more proactive, continuous quality management, ultimately leading to stronger operational and financial outcomes.
From Point Solutions to Lifecycle Intelligence
Taken together, these sessions reflect a broader shift happening across the industry.
AI is no longer being evaluated in isolation. It is being embedded across the service and warranty lifecycle—connecting claims, quality, supplier performance, and engineering into more cohesive, intelligent systems.
Through the AI-SWLM Think Tank, this work is moving beyond concept into execution—driven by OEM collaboration, real-world use cases, and measurable outcomes.
For organizations focused on warranty performance, cost recovery, and quality improvement, these discussions offer a practical view into what’s working now and what comes next.
See how OEMs are applying AI in real operations. Explore the AI-SWLM Think Tank and request to participate.
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