Overview
A financial institution aimed to enhance its customer service operations by improving response quality, reducing handling time, and optimizing support costs.
The objective was to increase first contact resolution (FCR), improve CSAT, and reduce cost per contact through intelligent automation and agent augmentation.
Challenge
Customer service operations were struggling with scale, consistency, and rising costs:
- High volumes of repetitive customer queries across channels
- Long average handle times due to manual lookup and fragmented systems
- Inconsistent response quality across agents
- Low first contact resolution, leading to repeat interactions
- Increasing cost per contact as volumes grew
This resulted in customer dissatisfaction, operational inefficiencies, and rising support costs.
Solution
An AI-powered customer service system was implemented to support both automation and agent efficiency:
- AI Virtual Assistants (Deflection Layer)
Handles routine queries across channels with accurate, context-aware responses - Agent Copilot
Assists service agents with real-time suggestions, knowledge retrieval, and response drafting - Unified Knowledge Integration
Connects internal knowledge bases, policies, and customer data for consistent responses - Intent Detection & Routing
Accurately classifies queries and routes them to the right resolution path - Automated Case Resolution Workflows
Enables end-to-end resolution for standard service requests - Continuous Learning & Feedback Loops
Improves response accuracy and relevance over time
KPIs Impacted
- CSAT (Customer Satisfaction Score)
Improved through faster, more accurate responses - First Contact Resolution (FCR)
Increased by resolving more queries in a single interaction - Average Handle Time (AHT)
Reduced through faster information access and assisted responses - Cost per Contact
Lowered via automation and improved agent productivity - Deflection Rate
Increased by resolving routine queries without agent intervention
Results
- 10–20% improvement in CSAT
- 15–30% increase in first contact resolution
- 20–40% reduction in average handle time
- 20–35% reduction in cost per contact
- 25–50% deflection of routine queries
Business Impact
- Improved customer experience across service channels
- Reduced operational costs without compromising service quality
- Higher agent productivity and consistency
- Scalable support operations to handle growing volumes
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