newsAWS Machine LearningTrust 88 · LabPublished 7d agoLive · 6d ago
How Fanatics Betting and Gaming built a multi-agent customer support system
Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time responsible gaming, and traffic spikes during major sporting events. This post walks through the architecture, the AWS services involved, and the patterns for your own multi-agent support solution.
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 46%mckinsey/agents-at-scale-ark →
- PossiblePossibly related (embedding) · 49%calf-ai/calfkit-sdk →
- PossiblePossibly related (embedding) · 49%mckinsey/agents-at-scale-marketplace →
- PossiblePossibly related (embedding) · 46%camel-ai/camel →
- PossiblePossibly related (embedding) · 46%aws-solutions/qnabot-on-aws →
