Decagon employs a layered technology architecture that realizes an organic combination of generic AI capabilities and enterprise-specific needs. The system contains three key tiers:
- Basic Model Layer: Integration of GPT-4, Claude and other top big language models as the underlying capability engine
- Business Adaptation Layer: mapping generic AI capabilities to specific business scenarios through the company's proprietary orchestration algorithms
- Enterprise Interface Layer: Provide standard interface modules with existing customer service systems (e.g. Zendesk, Salesforce) of enterprises
This design allows Decagon to capitalize on the latest advances in cutting-edge AI technology while ensuring that each implementation closely matches the client's actual workflow. In the case of Built Rewards, for example, the system was deeply integrated with the existing points management platform in just 2 weeks.
Decagon's hybrid architecture demonstrates significant advantages in terms of speed of implementation, cost-effectiveness, and feature adaptability over a single, general-purpose AI solution or fully customized development.
This answer comes from the articleDecagon: Enterprise Customer Service Intelligence Body SolutionThe
