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AI-Driven Customer Service Transformation: A Case Study on Qapital
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Finance & Insurance
Applicable Functions
- Product Research & Development
- Sales & Marketing
Use Cases
- Chatbots
- Time Sensitive Networking
The Challenge
Qapital, a mobile-only banking service, was facing a significant challenge in managing customer service inquiries. Despite being recognized as 'the Most Innovative App of the Year' by Google in 2017, Qapital's reliance on Zendesk live agents for customer service was proving to be a bottleneck. The company was experiencing long wait times and an ever-growing ticket list, which was not only frustrating for customers but also made it difficult for the agents to focus on more complex questions. As a company that aimed to digitize the conservative banking industry, Qapital was keen on bringing the same level of innovation to its customer support.
About The Customer
Qapital is a mobile-only banking service that was listed by Google as ‘the Most Innovative App of the Year’ in 2017. The company was founded with the aim of digitizing the conservative banking industry, making it easier and more intuitive for customers to plan, invest, and save based on their personal finance goals. As the company grew, it saved its customers more than $1 billion. However, its reliance on Zendesk live agents for customer service was creating roadblocks, with long wait times and an ever-growing ticket list.
The Solution
Qapital decided to integrate an AI-powered customer service chatbot to handle customer inquiries. The company partnered with Ada's Automated Customer Experience (ACX) Consultants to launch a 24/7 AI-powered customer service chatbot in just 30 days. The chatbot was designed to integrate seamlessly with Zendesk, providing a smooth transition from bot to live agent when necessary. It also offered a mobile-friendly, omnichannel experience. Importantly, the chatbot could be managed by a non-technical team, allowing a customer support agent to build and manage the chatbot without the need for developers. This enabled the support agent to create, add, update, and strengthen content instantly whenever required.
Operational Impact
Quantitative Benefit
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