To enhance agent effectiveness and customer experience, banks are increasingly adopting conversational AI and real-time analytics to transform live call data into actionable guidance, enabling faster responses, smarter recommendations, and improved service outcomes.
The Challenge
The bank captured long customer service sessions, often lasting up to eight hours, as continuous audio streams. However, this data remained largely unusable in its raw form, making it difficult to process, summarize, and analyze conversations while the calls were still in progress.
Without real-time insights, agents lacked contextual guidance during live interactions, limiting their ability to respond effectively to customer needs. The challenge was compounded by the need to process high call volumes reliably while ensuring seamless integration with existing call center systems.
Our Approach
Coforge designed a real-time conversational AI solution that combines streaming analytics, speech processing, and NLP, enabling agents to receive actionable insights during live customer interactions.
Streaming & Real-Time Processing
Built a robust streaming architecture capable of splitting long audio call streams into manageable segments for continuous, real-time analysis.
Speech-to-Text & Conversation Understanding
Implemented speech-to-text transcription services to convert call audio into text, enabling downstream analysis, searchability, and summarization.
NLP-Driven Insights & Sentiment Analysis
Applied natural language processing algorithms to extract key insights, contextual information, and sentiment from live call transcriptions.
Call Center Integration & Scalability
Integrated conversational insights directly into the bank’s existing call center software, providing agents with real-time suggestions. Designed the architecture to scale for high call volumes while ensuring reliability through redundancy and failover mechanisms.

Impact to Date
The conversational AI solution delivered measurable improvements in agent productivity, operational efficiency, and customer experience by enabling real-time intelligence across contact center interactions.
↑ Up to 20% Faster
↓ Up to 10%
↑ 10–15%
↑ 15–30%
Key Outcomes
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Real-Time Agent Enablement Enabled agents to access insights and recommendations while calls were still in progress, improving issue resolution effectiveness.
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Improved Operational Efficiency Reduced manual analysis and post-call processing through automated transcription and NLP-driven insights.
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Scalable & Reliable AI Platform Delivered a resilient, high-availability architecture capable of supporting large call volumes with minimal downtime.
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Enhanced Customer Experience Improved satisfaction levels by empowering agents with contextual awareness and timely guidance during live calls.
By combining streaming analytics, conversational AI, and real-time NLP insights, Coforge enabled the bank to transform live customer conversations into actionable intelligence, empowering agents, reducing costs, and elevating the contact center experience at scale.
