Show me the money: Can ML and AI cut vehicle warranty and recall costs?

OEMs are under growing pressure to reduce warranty costs, prevent recalls, and elevate customer satisfaction—all while navigating increasing vehicle complexity. But how can after-sales and quality leaders move beyond dashboards and theory into real-life impact?

This webinar, co-hosted with McKinsey and Upstream, explores proven, real-world applications of AI that are already driving results for global automakers. From mastering root-cause analysis to stopping the financial bleeding early, we’ll dive into the three key components of effective AI-driven quality programs:

• Effective countermeasures through advanced root-cause identification
• Early detection to minimize warranty exposure and accelerate time-to-resolution
• Comprehensive vehicle coverage, ensuring AI models aren’t flying blind

We’ll break down different approaches OEMs are using today, highlight what “good coverage” really means, and discuss where AI belongs in the quality tech stack.