AI-powered call analysis for better customer service

The Challenge

Nest Bank sought to modernize its customer service operations by deploying a scalable, AI-driven contact center solution integrated with its e-bok platform. The bank faced the urgent challenge of handling an increasing volume of customer calls, many involving complex technical and account-related inquiries, without sufficient insight into the quality and effectiveness of those interactions.

The absence of automated call transcription and sentiment analysis led to slow feedback loops, limited ability to assess consultant performance and inconsistent customer experiences. These issues resulted in longer call handling times and a decline in customer satisfaction. Without intervention, there was a risk of eroding customer trust and retention, directly affecting revenue.

Furthermore, inefficient consultant coaching led to uneven service quality, with some agents underperforming and the bank unable to identify or address these gaps promptly. 

The solution

The need was for an integrated, cloud-native solution aligned with AWS’s contact center and AI specialization that could securely record calls, transcribe them in near real-time, and generate actionable sentiment analytics. This would empower managers to monitor consultant performance continuously, tailor coaching strategies, and improve call scenarios proactively. Successfully addressing this challenge promised not only to enhance customer satisfaction and reduce churn but also to optimize operational efficiency and strengthen Nest Bank’s competitive position in the retail banking sector.