
What I value most about Decagon is its Agent Operating Procedures (AOPs) system. This feature allows us to define rules and resolution flows directly in natural language, in a clear and flexible way. It has radically improved our workflow: instead of having to manually configure rigid decision trees, the AI can autonomously interpret and resolve complex customer queries. This saves our support team dozens of hours a week and also provides much more human and accurate responses in our chat channels. Review collected by and hosted on G2.com.
What I like least is that the initial setup of integrations with our existing CRMs and databases can be complex and require considerable technical support. Additionally, the administration interface has a somewhat steep learning curve for team members without a technical profile, which initially affected performance and slowed down work. Lastly, its pricing model is very enterprise-level oriented, making it difficult to adopt in teams or projects with tight initial budgets. Review collected by and hosted on G2.com.