Automating insurance contact centers for hurricane surges
Google Cloud logo - Onix

Automating insurance contact centers for hurricane surges

Addressing 6 diagnostic benchmarks to assess your operational readiness for surges.

Download eBook now
onix polygon
Yellow polygon

Only 33-45%
of insurance carriers report a positive ROI on their AI investments.
(Source)

%
49%
of insurance use cases are focused on speed, cost reduction, and operational efficiency. (Source)
0 %
39%
of insurance consumers believe carriers must use AI to improve their services.
(Source)
0 %

How to address the challenging FNOL scenario

A majority of insurance companies have optimized their customer contact centers for routine servicing calls, which are regular, high-volume, and transactional. The challenging part occurs in the event of devastating surges, when consumers file their first notice of loss (FNOL). Most contact centers don’t separate the operational path for routine servicing and FNOL, leading to a customer grievance or even regulatory failure.

Onix’s latest eBook presents 6 crucial questions that evaluate how prepared insurance carriers are to deal with customer calls during an active surge. This short eBook is a diagnostic assessment for insurance carriers adopting AI-enabled automation.

Side Image.jpg

What you’ll learn:

  • How the AI-related conversations in the insurance sector have changed from the “what” to the “how.”
  • What makes the insurance service center the most challenging function – particularly during seasonal surges.
  • 6 diagnostic benchmarks that evaluate operational readiness.
  • Specific operational risks that carriers face based on their operating model.
  • Essential capabilities for any modern insurance contact center.
Get the eBook now
Mobilizing Data for an AI World Thank page 3