Ada could be improved with better handling of highly complex conversations, more customization for AI responses, and deeper integrations with third-party business applications.
Ada is quite a good and solid tool, but one area of improvement could be more advanced customization of the conversation flows to make it more flexible for complex scenarios. Ada could improve with even deeper integration to niche CRM tools to give us more flexibility. Overall, it is a solid and really very good tool.
The biggest area for improvement in Ada is ecosystem depth. While Ada itself is very solid, the library ecosystem is still thinner compared to Go and Rust, especially for newer cloud-native tooling and integrations, meaning we occasionally have to build wrappers or bindings ourselves, which adds some friction. Documentation and onboarding could be smoother, especially for developers new to Ada coming from modern ecosystems. The core docs are good, but practical examples around debugging, package patterns, and a modern deployment workflow could be more polished. We created some internal starter templates to shorten the ramp-up time, which helped, but better out-of-the-box guidance would make adoption easier.
Data analyst at a healthcare company with 10,001+ employees
Real User
Top 10
Apr 9, 2026
Ada can be improved by being able to identify symptoms based on the age, and it needs to have more questionnaire options. Additionally, the speed of the application should be improved.
Ada is designed to streamline workflows and enhance customer interactions. It stands out for its ability to automate and personalize user experiences while efficiently managing information and inquiries.This technology handles tasks through sophisticated automation, reducing manual workload and increasing productivity. It's tailored to deliver personalized user interactions, significantly improving customer satisfaction. With Ada's powerful capabilities, businesses can seamlessly integrate...
Ada could be improved with better handling of highly complex conversations, more customization for AI responses, and deeper integrations with third-party business applications.
Ada is quite a good and solid tool, but one area of improvement could be more advanced customization of the conversation flows to make it more flexible for complex scenarios. Ada could improve with even deeper integration to niche CRM tools to give us more flexibility. Overall, it is a solid and really very good tool.
The biggest area for improvement in Ada is ecosystem depth. While Ada itself is very solid, the library ecosystem is still thinner compared to Go and Rust, especially for newer cloud-native tooling and integrations, meaning we occasionally have to build wrappers or bindings ourselves, which adds some friction. Documentation and onboarding could be smoother, especially for developers new to Ada coming from modern ecosystems. The core docs are good, but practical examples around debugging, package patterns, and a modern deployment workflow could be more polished. We created some internal starter templates to shorten the ramp-up time, which helped, but better out-of-the-box guidance would make adoption easier.
Ada can be improved by being able to identify symptoms based on the age, and it needs to have more questionnaire options. Additionally, the speed of the application should be improved.