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CX Outcome Story

Multinational Banking Leader Deploys AI-Powered Smart Call Deflection to Unclog Its Contact Centers 

Outcome Powered By: 

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Vertical

Financial Services 

AI Solution Type

Conversional AI

Outcome

Multinational Banking leader overhauls the customer support process, automates
interactions with AI-powered solutions, and saves more than $9M in operational costs.

Challenge 

  • Inefficient System: This large bank with 200 million customers struggled with overloaded agents due to an IVR system only managing 40% of inquiries.

  • Lacking Support: Rising support costs due to high call volume routed to human agents and slow online resolution resulting in poor customer experience.

  • Automation & Efficiency: The bank seeks to improve customer support efficiency and reduce costs through automation.

Solution Process

  • Reduced Call Center Traffic: The bank implemented a virtual assistant that understands customer intent and directs them to the appropriate channel (web, chat) for faster resolution, reducing call center workload.

  • Improved Customer Experience: The virtual assistant offers personalized responses using conversational AI, handles general and specific inquiries, and seamlessly transitions to human agents for complex issues, leading to higher customer satisfaction.

Solution Details

  • A virtual assistant was built that understands caller intent and deflects calls to the most appropriate web or chat channel based on the query, reducing call center workload.

  • Solution analyzes high-volume call inquiries and automates responses to frequently asked questions using keywords and AI-driven pattern recognition, further reducing agent workload.

$9.7 M saved through call automation in first 2 years of implementation 
70% reduction in call waiting time  
Achieved 52% call containment rate  
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