What Changed
Fanatics Betting and Gaming (FBG) built a multi-agent customer support system on AWS, solving customer support challenges in the sports betting industry. They enabled AI agents to process complex inquiries, such as state-specific regulations and payment method differences, quickly and accurately, which were difficult to handle with traditional chatbots. This reduced the burden on human agents and allowed for cost reduction.
(Reference: How Fanatics Betting and Gaming built a multi-agent customer support system)
How It Works
FBG’s multi-agent system was built using AWS services. The system utilizes multiple AI agents, each playing a different role, to efficiently process customer inquiries. For example, one agent generates answers based on regulatory knowledge, while another agent supports payment methods and withdrawal procedures. This enables providing immediate and appropriate responses to customer questions.
(Reference: How Fanatics Betting and Gaming built a multi-agent customer support system)
Migration Procedure
FBG transitioned from their existing support model to the multi-agent system in stages. First, they analyzed customer inquiry data and identified frequent questions. Next, they used AWS machine learning services to train AI agents to respond to these questions. Finally, they tested the system and made improvements based on feedback. This process enabled a smooth transition.
(Reference: How Fanatics Betting and Gaming built a multi-agent customer support system)
Summary
- Introducing AWS’s multi-agent system enables customer support that accommodates state-specific regulations and payment method differences.
- Utilizing AI agents reduces the burden on human agents and allows for cost reduction.
- Building a system to efficiently process customer inquiries requires data analysis and AI training.