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