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Bank Customer Service Executive Agent

OCB · Posted 1 year ago

Banking and financeGenerative AIConversational AI / ChatbotsSearch & Knowledge Retrieval
Budget
USD 50,000
Timeline
13 weeks
Closed on
15 Oct 2025, 23:59 ICT

Problem statement

In 2023, the bank employed over 300 customer service representatives, with 80% of them outsourced to a third-party vendor. We utilized a contact center provided by a local telecommunications provider. However, due to the high volume of cases, we encountered significant challenges. The high turnover rate among service agents, coupled with an unsatisfactory NPS score, and an extended turnaround time from hours to days, hindered our ability to meet customer expectations. Anticipating continued customer growth, we estimated that we would need to double the number of agents within the same year to meet demand. This would necessitate an extension of the contact center's license and subscription.

Expected outcomes and success metrics

Average Customer NPS >70 Customer Effort Score (CES) reduction by 30% Turnaround time (TAT) on calls < 1 min Reduce agent’s turnover rate and improve agent productivity (cases served per day).

Current process

Contact Center with FAQ - Knowledge base

Current solution

Contact Center with FAQ - Knowledge base

Target users and impacted teams

Customer Service division for both Retail and Liobank

Data availability and readiness

Knowledge base in pdf, csv format. or current CS system

Integration, deployment and infrastructure

The solution should run on AWS, integrate with on premise contact center as well as cloud (Genesys).

Relevant AI technologies

Generative AIConversational AI / ChatbotsSearch & Knowledge Retrieval