About Decagon
Decagon builds AI agents for customer experiences across a service lifecycle. Its platform focuses on personalised interaction and consistent context, including voice and other channels. The offering is intended to help businesses define an agent’s work without relying on a complex configuration language for every change.
Key Features
Decagon uses Agent Operating Procedures to define workflows in natural language. Teams can describe agent behaviour and revise its instructions without relying on a separate configuration language for every change. Testing and observability support validation, while customer context links interactions across channels.
Channels and Integrations
The platform brings agent building, optimisation and operation together. Its voice and other channel capabilities share context so a customer interaction can build on previous communication. Teams can review agent logic and adjust procedures as policies, information and customer requirements change.
Who It Helps
Customer-experience teams can develop agents around their own operating procedures. Support organisations can connect service across channels, while managers can review interaction evidence and refine behaviour. Decagon suits businesses that want an agent’s workflow to remain understandable to the teams responsible for the customer process.