The future of customer service: 3 generative AI use cases payers can act on now
High call volumes. Long resolution times. Burned-out agents. For payers, traditional contact center tools aren't enough to meet today's member expectations.
Generative AI is changing that — and some of the most complex service organizations in the world are already seeing the results.
This whitepaper details how leading organizations are using generative AI to elevate customer experience while increasing efficiency and cutting costs. The focus: three proven use cases that go beyond buzzwords and deliver measurable value.
The report contains real-world examples — including how DoorDash cut response latency by 50% using AI in Amazon Connect — and see how tools like Amazon Q in Connect are driving better self-service, real-time agent assistance and scalable analytics.
Download the guide to learn:
Generative AI is changing that — and some of the most complex service organizations in the world are already seeing the results.
This whitepaper details how leading organizations are using generative AI to elevate customer experience while increasing efficiency and cutting costs. The focus: three proven use cases that go beyond buzzwords and deliver measurable value.
The report contains real-world examples — including how DoorDash cut response latency by 50% using AI in Amazon Connect — and see how tools like Amazon Q in Connect are driving better self-service, real-time agent assistance and scalable analytics.
Download the guide to learn:
- How self-service powered by generative AI reduces wait times and abandonment rates
- How agent assist tools are helping leaders address burnout and improve call resolution
- How post-contact summaries and automated scoring help leaders monitor 100% of calls
Please fill out the form to download the whitepaper.