AI Won’t Pay Off Until the Data Plumbing Is Fixed

AI can’t fix bad data. Most dealership systems are disconnected — your CRM says one thing, your DMS another, and your vendors something else entirely. When automation is built on that kind of chaos, it doesn’t streamline your operation — it clogs the pipes. The result? Shoppers get mixed messages, duplicate offers, and a fast track to “unsubscribe.” Even worse, unclear opt-out tracking can open the door for regulatory headaches.

In this session, Dave Steinberg of Foureyes and Daniel Kim of Barnes Crossing break down how to modernize your data plumbing so AI actually drives results instead of risk. Learn how to connect your data end-to-end, reduce waste, and build a foundation where AI can finally deliver on its promise of scale, efficiency, and smarter selling. Because if your data doesn’t flow, neither will your customer experience.

Join hosts Paul J Daly and Kyle Mountsier for this ASOTU Edge Webinar on Wednesday, November 5 at 2PM.

Key Takeaways:

1. Fix the foundation first: Why disconnected data systems sabotage AI performance (and ROI).
2. Avoid the “automation trap”: How poor data integrity creates legal and customer-experience risks.
3. Build end-to-end flow: Practical steps to align CRM, DMS, and vendor data into one clean pipeline.
4. Enable smarter AI: How clean, unified data makes AI more accurate, efficient, and profitable.

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