How to Approach the “Make vs. Buy” Strategy in AI Decision Intelligence 

 What part of the business have you seen success that was underrated but made a big difference? 

One underrated area is notifications, communication, and coaching. Most organizations focus first on the claim decision: approve, deny, request more information, or escalate. That is important, but a lot of operational friction happens around the decision.

For example:

1. Servicer communication

   Was the servicer notified that the claim was authorized? Do they know what repair is approved? Do they know what documentation is still required?

2. Dealer and repair facility updates

   Did the dealer get a clear explanation of what is missing, what was approved, or why the claim requires review?

3. Customer experience

   Did the customer receive a timely update, or are they calling repeatedly because no one knows the status?

4. Adjuster and dealer coaching

   AI can do more than recommend a decision. It can explain the reasoning behind the decision, show the coverage logic, identify missing information, and help dealers and adjusters learn how to submit and review claims more effectively.

This creates a powerful second-order benefit. New hires ramp faster. Senior people spend less time on routine questions. Dealers submit cleaner claims. Disputes decrease because the reasoning is more consistent and defensible.

When AI triggers the right communication at the right time, it reduces calls, delays, confusion, and unnecessary escalations.

While automation may be the first ROI target, one of the biggest underrated wins is a smarter, more consistent service network, where administrators, adjusters, dealers, servicers, and consumers all have clearer answers and fewer handoffs.

Q4. How do you measure success beyond the pilot stage?

The metrics should align to business outcomes. In warranty and service contract operations, we usually look at:

• Claim cycle time
• Adjuster productivity
• Percentage of claims fast-tracked
• Decision consistency
• Reduction in manual touches
• Leakage reduction
• Fraud or anomaly detection lift
• Payment turnaround time
• Loss ratio impact
• Dealer or partner satisfaction

AI success is based on improving these operational metrics and the most successful deployments are the ones tied directly to measurable workflow improvement.