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April 15, 2026 Newsletter
See Where Warranty AI Is Improving Claims Accuracy and Cost Control Today
AI is being applied inside warranty workflows today to reduce leakage, improve claims accuracy, and streamline decision-making across OEM operations.
Across warranty, recall, and service operations, the focus is shifting from identifying challenges to improving execution. Whether it’s closing claims leakage, strengthening supplier recovery, or making faster, more consistent decisions, OEM teams are working through many of the same issues—often without clear visibility into how others are approaching them.
Through the AI-SWLM Think Tank and Round 2 of Xchange Groups, MAPconnected continues to bring leaders together to compare approaches, explore real-world AI applications, and move from isolated problem-solving to more connected, data-driven execution.
This week’s MyWarrantyNetwork Connect highlights where that work is taking shape—from benchmarking peer strategies to applying AI across the warranty and quality lifecycle.
Now’s the time to get involved. Learn how peers are approaching these challenges and bring back ideas you can apply right away. Join today!
Read on for:
- AI in Action: AI-SWLM Think Tank Showcases on April 23 & 30
- Leadership Xchange Groups Round 2: Sessions Begin April 16
- Save the Dates: AI-SWLM Think Tank Toyota/Pega & C.A.R.S./Circuitry.ai Showcases
- Explore the Full MAPconnected Events Lineup
- Member Spotlight: GM’s Josh Shuck Shares What’s Working
AI-SWLM Think Tank Showcase Series: From Claims Leakage to Continuous Quality
These events are free and open to everyone. Don’t miss these real‑world AI-in-the-Field case studies—packed with actionable use cases, not theory.
AI is starting to show up differently across the service and warranty lifecycle. The conversation is shifting from potential to execution—where it’s working, how it’s being applied, and what measurable impact looks like in practice.
Through the AI-SWLM Think Tank, OEMs and industry leaders are exploring real-world applications across claims, quality, and lifecycle operations. The next two sessions in the Sponsored Showcase Series highlight how that work is taking shape—from reducing warranty leakage to enabling more continuous, data-driven quality intelligence.
The sessions below highlight how this shift is being applied across both claims and quality.
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 underestimated margin drains for OEMs, with many organizations still relying on fragmented legacy systems, manual reviews, and reactive workflows that allow costs to accumulate unnoticed. The gap between what OEMs pay out and what they should pay out is often measured in percentage points of revenue.
This AI-SWLM Think Tank case study brings together industry leaders to explore how manufacturers are applying AI and workflow automation to transform claims processing, reduce leakage, and improve supplier recovery across the full claims lifecycle.
Speakers:
- Jerome Clerc, IT Domain Manager, Aftersales – Warranty & Recall Campaign, Stellantis
- Abhi Rele, Head of Product, Manufacturing, ServiceNow
The discussion will explore how OEMs are connecting claims data, supplier accountability workflows, and AI-assisted review to reduce leakage and improve decision speed across the warranty lifecycle.
Key questions include:
- What are the key challenges OEMs face when addressing growing warranty costs?
- How are leading organizations deploying AI and workflow automation to accelerate claims resolution and close leakage gaps?
- What does a realistic 12-month path to reducing warranty leakage look like—and what does “good” look like in practice?
This session offers actionable insight into how OEMs are leveraging AI-powered workflow solutions to strengthen warranty performance and protect margin.
To Infinity (Loop) and Beyond: Advancing Continuous Quality Diagnostics
Upstream Case Study | Sponsored by Upstream
April 30 | 11:00 AM – 12:00 PM ET | Virtual | Open To All
This webinar explores how AI-enabled quality systems are evolving from reactive, post-claim diagnostics toward continuous, data-driven intelligence loops that improve margins, reduce time-to-resolution, and strengthen brand trust.
Vehicle functionality is increasingly defined by software, with updates and improvements deployed in weeks rather than years. As a result, traditional field quality processes—still heavily dependent on repair orders and warranty claims—introduce inherent delays in how issues are detected, understood, and resolved.
Speaker: Arnon Shafir, VP of Automotive Data Intelligence & AI, Upstream
The session focuses on the shift toward continuous quality intelligence spanning production through real-world vehicle operation, enabled by AI-driven pattern detection, risk prioritization, and cross-functional data integration.
At the center of this transition is data. OEMs generate vast volumes of information across telemetry, warranty, service, and production systems, but it often remains fragmented. A unified data layer that connects and contextualizes vehicle, component, and service data is key to enabling enterprise-wide quality intelligence.
Only then can AI be effectively applied to:
- Identify emerging patterns and systemic risks earlier across fleets and components
- Accelerate root cause analysis across production and field data
- Enable targeted countermeasures and feed validated insights back into engineering and production
This enables a more continuous quality loop, shifting from post-claim visibility toward earlier risk detection, faster resolution, and stronger alignment across after-sales, quality, engineering, and production teams.
Xchange Groups Round 2: Secure Your Seat at the Table
Round 2 of MAPconnected’s Xchange Groups kicks off April 16, and there’s still time to join the conversation. These peer benchmarking sessions bring OEM leaders together across every pillar of the service and warranty lifecycle to compare approaches, share what’s working, and problem-solve challenges that are too often tackled in isolation.
From warranty and recall to supplier recovery and financial products, each group offers a focused environment to exchange insights with the people doing this work every day. Round 2 moves beyond identifying issues and into how organizations are actually executing, measuring, and improving.
Explore all six Xchange Groups and reserve your spot—compare strategies, pressure-test decisions, and leave with clearer direction on what to do next.
🔗 Get each session’s details and join the conversation
AI-SWLM Think Tank Sponsored Showcase: Save the Dates
From Warning Signs to Action: Warranty Early Warning Detection
Toyota & Pegasystems Case Study | Sponsored by Pegasystems
May 12 | 3:00 PM – 4:00 PM ET | Virtual | Open To All
Warranty teams already have enough data to spot emerging issues early. The problem is not detection—it’s separating signal from noise and routing the right issues to the right teams fast enough to matter.
Repeat claims, field notes, and quality alerts often surface early warning signs, but without clear prioritization and ownership, they stall instead of triggering coordinated action across warranty, quality, engineering, and service.
This session explores how leading organizations are building more structured early warning approaches that improve triage, reduce response time, and turn fragmented signals into actionable workflows without adding operational complexity. It is part of the AI-SWLM Think Tank Sponsored Showcase Series.
Speakers:
- Mike Mora, Sr. Manager | North America Quality Systems, Toyota
- Luis Izarra, Sr. Manager | Cloud Solution Architect – Chief Product Owner – North America, Toyota
Moderator: Ed Allen, Industry Market Leader, Pegasystems
Explore how OEMs are moving from reactive warranty management to structured early warning systems that improve coordination and speed of action across functions.
Smarter Warranty Decisions: How AI Drives Claims Accuracy & Reduces Costs
C.A.R.S. and Circuitry.ai | Sponsored by Circuitry.ai
June 9 | 3:00 PM – 4:00 PM ET | Virtual | Open To All
Warranty teams are under pressure to reduce cost leakage and improve claims accuracy without adding more process or complexity. The real issue is not visibility—it’s execution across inconsistent validation, manual review, and fragmented data.
AI is now being applied directly inside warranty workflows to identify anomalies, standardize decisions, and reduce unnecessary manual effort across the claims lifecycle.
This session, part of the AI-SWLM Think Tank Sponsored Showcase Series, focuses on how AI is being used in practice today to improve claims accuracy and reduce warranty costs through more consistent, data-driven execution.
Speakers:
- Lance LaCoe, President & CEO, C.A.R.S. Protection Plus
- Josh Russell, VP, Products, Circuitry.ai
Moderator: Ted Danner, Sr. Director, Automotive Warranty & Service Contract AI Solutions, Circuitry.ai
Explore how OEMs and suppliers are applying AI today to reduce warranty cost leakage and improve claims accuracy across the lifecycle.
MAPconnected Events: April – October
April 16 | 3:00–4:15 PM ET
Warranty Administration Xchange Meetup — Optimizing Warranty Claims: Efficiency, Accuracy and Fraud Prevention
April 21 | 3:00–4:00 PM ET
Recall, Customer Campaigns & Legal Xchange Meetup — Exploring the Decision to Recall
April 23 | 11:00 AM–12:00 PM ET
AI-SWLM Think Tank Showcase — Fix the Leak: Reducing Warranty Costs | Stellantis & ServiceNow Case Study
April 23 | 3:00–4:15 PM ET
Financial Products & Insurance Xchange Meetup — Product Performance, Penetration & Profitability
April 30 | 11:00 AM–12:00 PM ET
AI-SWLM Think Tank Showcase — To Infinity (Loop) and Beyond: Advancing Continuous Quality Diagnostics | Upstream Case Study
May 12 | 3:00–4:00 PM ET
AI-SWLM Think Tank Showcase — From Warning Signs to Action: Warranty Early Warning Detection | Toyota and Pegasystems Case Study
May 14 | 3:00–4:00 PM ET
Technical Assistance Centers (TAC) Xchange Meetup — TAC Strategy & Technology Enablement
May 19 | 11:00 AM–12:15 PM ET
Parts Return & Quality Analysis Xchange Meetup — Defining a Robust Parts Analysis Process & Logistics Cost Control
May 20 | 3:00–4:00 PM ET
Purchasing & Supplier Cost Sharing Xchange Meetup — Strengthening OEM–Supplier Partnerships Through Transparent Cost Recovery & Shared Accountability
June 9 | 3:00–4:00 PM ET
AI-SWLM Think Tank Showcase — Smarter Warranty Decisions: How AI Drives Claims Accuracy & Reduces Costs | CARS Protection Plus & Circuitry.ai Case Study
June 17–18
Spring Club Study & AI-SWLM Think Tank Meetup in Houston — Modern Warranty Decision-Making: Manual Foundations to AI Diagnostics
October 19–21
Service & Warranty Lifecycle Annual Summit 2026 — Detroit
Member Experience: Step Into the Conversations That Shape the Industry
Real progress in warranty and service doesn’t come from presentations—it comes from practitioners sharing how the work actually gets done.
In a standout moment from last year’s Summit, General Motors’ Josh Shuck shares a perspective informed by Midtronics’ data—showing how OEM insight and partner data come together to improve diagnostic decision-making. That intersection is where better outcomes happen: when experience and evidence are connected in the same discussion.
Watch the clip to see how these conversations come to life.
That’s what the MAPconnected Summit is built for—bringing leaders together to solve real operational challenges across warranty, service, and lifecycle performance.
Applications are now open for the 2026 Service & Warranty Lifecycle Summit in Detroit.
🔗 Submit to speak by May 15 and receive free Summit tickets for you and a co-worker
Why Join Xchange Groups
Leadership Xchange Groups are now active across six focus areas—Parts Return & Quality Analysis, Warranty Administration, Recall, Customer Campaigns & Legal, TAC, Financial Products & Insurance, and Purchasing & Supplier Cost Sharing—bringing together peers to assess what’s working, challenge assumptions, and solve real operational problems.
Peer benchmarking. Member-driven agendas. Real operational insight.
| I’m happy to answer any questions as you consider which membership is the best fit for your organization. Email me at info@mapconnected.com or fill out an online form. |
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