Case Study: an online trading platform automates 80% of support tickets with Robylon

How Robylon’s AI agents automated 80% ticket resolution for an online trading platform

The client, a large online trading company based in India, faced significant customer support challenges due to its rapid growth. Handling over 300,000 tickets annually, the company struggled with complex queries, inconsistent responses, high training costs, and slow resolution times, which threatened its customer-first reputation. The vendor, Robylon, was engaged to address these issues with its AI agents.

Robylon implemented a multi-step solution using its AI agents, beginning by analyzing historical tickets to create structured standard operating procedures. The company then built and deployed over 15 AI agents, which were further refined through a human-in-the-loop model for edge cases. This approach enabled Robylon to automatically resolve over 80% of support tickets with near-perfect accuracy. As a result, the online trading platform reduced its support costs by approximately 25% within six months while significantly improving resolution times and reliability.