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AI in US Contact Center Verticals – Public Sector

How AI is being used in US public sector and government contact centers to reduce queue lengths, improve self-service and cut costs.

 

About This Report

Our research has found that each vertical market has its own specific commercial and operational issues that affect its contact centers, and this research series looks at how AI can be deployed to solve these.

Through detailed analysis of surveys with hundreds of US contact centers, ContactBabel has identified three significant concerns and issues which are found in many public sector & government customer contact operations:

  • Reduce queue lengths and call abandonment
  • Improve the uptake of self-service and digital channels
  • Reduce cost per contact across channels.

This report quantifies the challenges that public sector & government contact centers are facing, and shows ways in which its criteria for success can be met through AI, while maintaining a high standard of customer service.

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In this Report

Contact Babel Reports

Reduce Queue Lengths and Call Abandonment

  • Optimizing self-service alternatives
  • Understanding what drives customers to call
  • Reducing unnecessary time in the call
Contact Babel Reports

Improve Self-Service & Digital Channel Uptake

  • Customer channel usage and preference
  • Analyzing self-service failures and optimizing digital contact
  • Using chatbots and voicebots more effectively
  • Improving email resolution rates through intelligent automation
Contact Babel Reports

Reduce Cost per Contact

  • Intelligent call routing
  • Automated customer authentication
  • Unified agent desktop
  • In-call agent assistance
  • Automating post-call wrap-up

World-class research, data and insights into the contact centre and CX industries