Top 5 U.S. group benefits insurer turns chatbot breakdowns into continuous digital improvement

The goal

Build a closed-loop operating model that captures every self-service and chatbot breakdown, identifies root cause, and feeds fixes back to digital and product teams, so automated CX improves instead of repeating the same failures.

The outcome

85% VOC

vs. 81% target

10% YoY

contact volume reduction since 2024

Weekly

closed-loop feedback cycles delivered to product teams

increased effectiveness

increased scope of the chatbot

The challenge

The solution

Support delivered from the Philippines and El Salvador to the U.S.

Industry
Insurance

Channels
Chat and voice

Languages
English and Spanish

Foundever established a dedicated process improvement capability embedded into day-to-day operations to convert self-service breakdowns into structured product feedback:

  • Interception logging: Every chatbot and self-service failure captured and categorized in real time
  • Root cause analysis: Mapped to digital journey and product ownership — covering content gaps, broken flows, unclear intent, authentication issues, and more
  • Closed-loop governance: Product and digital teams prioritized fixes and confirmed resolution
  • Client-owned bot integration: Connected bot outcomes with operational follow-up within the existing operating model

This approach ensures that when automation fails, it not only creates a contact but also generates a learning event that improves self-service performance going forward.

Results

85%

VOC vs. 81% target

10%

YoY contact volume reduction since 2024

Weekly

closed-loop feedback cycles delivered to product teams

increased effectiveness

increased scope of the chatbot

Across a 17-year partnership, the carrier sustained VOC above target, reaching 85% versus an 81% goal. Bringing Foundever into their chatbot performance challenge unlocked a level of customer journey visibility that had previously existed in silos.

By closing the loop between operations and product, the program reduces repeat failures and builds toward long-term automation success. That deepened collaboration has translated into operational outcomes: contact volumes have decreased 10% year-over-year since 2024, reflecting a CX that’s improving at scale.