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Financial Services

Global Bank Reduces Customer Service Costs by 65%

Challenge

Barclays International, a leading global bank with operations in over 50 countries and serving more than 48 million customers, faced mounting challenges with their customer service operations:

  • Customer service costs had risen by 23% year-over-year, with an annual budget exceeding £175 million
  • Average wait times of 18.5 minutes during peak hours, leading to a 15% increase in customer complaints
  • Over 68% of inquiries were routine questions that didn't require human expertise
  • Seasonal volume spikes of up to 300% during tax season and holidays overwhelmed existing staff

Solution

Clouru implemented a comprehensive AI chatbot solution tailored to Barclays' specific needs, following strict financial regulatory requirements:

Implementation Process

The implementation was completed in phases over a 4-month period, adhering to strict financial security protocols:

  1. Discovery & Planning (3 weeks): Conducted comprehensive audit of 250,000+ customer interactions, identified 1,872 unique query types, and mapped 37 distinct customer journeys.
  2. Initial Development (7 weeks): Built the core chatbot functionality with 128-bit encryption and trained the AI on 3.2 million historical interactions.
  3. System Integration (5 weeks): Established secure API connections to Temenos T24 core banking system with 99.99% uptime SLA and real-time data synchronization.
  4. Pilot Testing (4 weeks): Deployed to 50,000 premium customers with A/B testing against traditional support channels, gathering 12,500+ feedback points.
  5. Full Deployment (2 weeks): Rolled out across all digital channels to 48 million customers with load balancing across 3 geographic regions.
  6. Ongoing Optimization: Implemented continuous learning with weekly model retraining based on 150+ performance metrics.

Results

The implementation of Clouru's AI chatbot solution delivered significant measurable benefits within 12 months:

  • 65% reduction in customer service costs, saving approximately £113.8 million annually
  • 93.7% of routine inquiries now handled without human intervention, exceeding the initial target of 85%
  • Average response time reduced from 18.5 minutes to 6.2 seconds, a 99.4% improvement
  • Customer satisfaction scores increased by 22%, from NPS 34 to NPS 56
  • 24/7 support coverage across 17 languages without increasing headcount
  • Human agents now focus on high-value, complex interactions, increasing revenue from upselling by 18%

Client Testimonial

Key Takeaways

  • AI chatbots with proper financial security protocols can dramatically reduce operational costs while improving customer experience
  • Secure integration with core banking systems is crucial for providing personalized responses while maintaining regulatory compliance
  • Continuous learning mechanisms with weekly model retraining ensure the solution improves over time
  • Intelligent human-AI collaboration creates the optimal customer service experience in financial services