Decagon's original coordination layer technology is the key to establishing its competitive barriers in the AI customer service field. This technology layer sits on top of the underlying big model and mainly implements three core functions:
- Multi-model intelligent scheduling: dynamically evaluate the performance of different AI models in specific customer service tasks and automatically select the optimal combination.
- Business Logic Integration: Embedding enterprise-specific workflows and policy rules into the AI decision-making process
- Real-Time Performance Optimization: Improving Task Allocation Strategies through Continuous Learning Mechanisms
Real-world application data shows that this architecture enables Decagon to outperform single-model solutions in complex scenarios such as multi-language response and anomalous problem handling. The technology transparency tool also provides a complete picture of the models, data sources, and reasoning steps involved in each decision, dramatically increasing enterprise customer trust.
This answer comes from the articleDecagon: Enterprise Customer Service Intelligence Body SolutionThe































