AI for Call Centers
Central Pacific Bank uses AI to improve customer experience and call center operations
The Problem
Central Pacific Bank (CPB) had a call center that customers turn to for answers about their banking needs, each unique. Their outdated system had many challenges, including:
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- Staffing instability and high turnover
- Lack of customer satisfaction metrics
- The inability to keep up with increasing customer expectations and call volumes
- Lack of IT platform integration that required agents to access multiple systems to resolve an issue
- Sales goals couldn’t be prioritized due to the significant effort being placed on servicing all customers at all times
- Additionally, the pandemic challenged CPB to address the growing needs with a remote and dispersed workforce.
The Solution
In order for CPB to serve their customers in a more efficient and intuitive way, they implemented Amazon Connect and leveraged the following features:
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- Cloud/hosted solution
- No contract commitments required
- Ease and speed at which it could be deployed
- AI, robotics, and machine learning capable
- Supported the bank’s virtual and remote infrastructure
- Supported their omni-channel strategy
The Result
A test instance was brought up in two days with a working number, Polly AI TTS, and call recording capabilities. By implementing AI, CPB has curated an experience for its customers that is quick, intuitive, and personable.
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- Increase in usability and problem resolution via self-serving knowledge base
- Ongoing access to metrics and reporting
- Flexibility in enabling their agents to work from anywhere in a secure way
- The ability to leverage sentiment analytics data to identify coaching opportunities
- Data and intelligence that allowed CPB to redirect resources to process improvement
153%
increase in customer satisfaction
33%
decrease in customer wait times
70%
decrease in call volume as a result of system handling initial calls
166%
increase in agent satisfaction