Client Overview
The leading digital lender based in Bangalore, India, is a Series D funded financial services platform with over $1B annual disbursements, $40M profit target, and 7 million customers. Seeking to optimize operational costs, the client faced challenges with a high ticket volume of 10,000 daily, causing a 4-5 hour average wait time for responses.
Challenges Faced
The client struggled with inefficient support operations due to ticket queuing delays, lack of tribal knowledge utilization, inconsistent response quality, and lengthy agent onboarding times. New agents took 3-6 months to reach proficiency compared to experienced agents, impacting customer satisfaction and operational efficiency.
Solution Implementation
To address these challenges, Alltius collaborated with the client to deploy an AI assistant powered by a vast training dataset. The AI assistant leveraged resolved customer conversations, web documentation, and agent handbooks to generate personalized draft email responses. This solution aimed to reduce wait times, enhance response quality, and standardize email responses by incorporating placeholders for customer-specific data.
Results Achieved
Following the implementation, the AI assistant generated 3,000-5,000 email responses daily, leading to a 50% reduction in customer wait times from 4-5 hours to 2-3 hours. Agents now focus on validating responses rather than crafting them from scratch, thanks to pre-filled placeholders. The integration improved operational efficiency by decreasing response drafting time and assignment queues significantly.
Future Plans
Looking ahead, the Alltius team aims to enhance draft email quality further, expand coverage to handle all 5000+ daily emails, address in-app chat scenarios through pilots, and implement ticket assignment and labeling use cases to continually reduce customer wait times and improve support operations.
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