Senior Analyst at a tech vendor with 10,001+ employees
Real User
Top 20
Jul 6, 2026
I believe Cognigy.AI Platform could be improved in terms of versioning of flows, for example, similar to GitHub, not only on the custom extensions that you have, but also on the flows itself. If there's some versioning possible, that would be helpful, and this is one of the bigger issues. Regarding Cognigy.AI Platform's AI capabilities, I think security-wise there are some concerns because you cannot really protect the REST endpoints, and there are some open points on the security perspective and on the governance perspective. There are options for OAuth authentication, but for the REST endpoints, for example, this was a major topic.
Cognigy.AI Platform is limited from a developing perspective, especially regarding the analytics aspect that should improve. When debugging, there is no direct page for this. I have to go to the logs and see what errors appear each time I run the flow. There is significant room for improvement where the platform needs to think from a technical perspective and support different personas, both non-technical and technical. For technical people, it would be beneficial if the platform could connect to Visual Studio Code so that technical people can easily debug without having to go node by node and adjust things whenever errors are thrown. The graphs in the analysis section of Cognigy.AI Platform should display metrics such as average duration of calls or number of conversations, which would be helpful if visualized internally.
AI Engineer at a transportation company with 10,001+ employees
Real User
Top 20
Jul 3, 2026
One of the biggest challenges I continue facing while using Cognigy.AI Platform is the fact that the platform lacks proper version control, and this makes it difficult when I am working with multiple team members and it is very hard to track the changes that I do or the changes that my peers are doing. One improvement for Cognigy.AI Platform would be creating a version control, which would really help developers. This way, we can keep track of what we are doing and how we are doing it. Additionally, if we could make an integration with IDEs just like Visual Studio Code, it would make easier implementation for the coding part and just to have an integration between an IDE and the local platform. I think that would be an interesting feature.
Connecting Cognigy.AI Platform to our internal data had some challenges, with setup complexity existing, pricing clarity needing improvement, and privacy control for sensitive employee data needing improvement. The improvement areas for Cognigy.AI Platform include the setup complexity, pricing clarity, and privacy control, which all need to be enhanced so that we can control the employee-related data more carefully.
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I believe Cognigy.AI Platform could be improved in terms of versioning of flows, for example, similar to GitHub, not only on the custom extensions that you have, but also on the flows itself. If there's some versioning possible, that would be helpful, and this is one of the bigger issues. Regarding Cognigy.AI Platform's AI capabilities, I think security-wise there are some concerns because you cannot really protect the REST endpoints, and there are some open points on the security perspective and on the governance perspective. There are options for OAuth authentication, but for the REST endpoints, for example, this was a major topic.
Cognigy.AI Platform is limited from a developing perspective, especially regarding the analytics aspect that should improve. When debugging, there is no direct page for this. I have to go to the logs and see what errors appear each time I run the flow. There is significant room for improvement where the platform needs to think from a technical perspective and support different personas, both non-technical and technical. For technical people, it would be beneficial if the platform could connect to Visual Studio Code so that technical people can easily debug without having to go node by node and adjust things whenever errors are thrown. The graphs in the analysis section of Cognigy.AI Platform should display metrics such as average duration of calls or number of conversations, which would be helpful if visualized internally.
One of the biggest challenges I continue facing while using Cognigy.AI Platform is the fact that the platform lacks proper version control, and this makes it difficult when I am working with multiple team members and it is very hard to track the changes that I do or the changes that my peers are doing. One improvement for Cognigy.AI Platform would be creating a version control, which would really help developers. This way, we can keep track of what we are doing and how we are doing it. Additionally, if we could make an integration with IDEs just like Visual Studio Code, it would make easier implementation for the coding part and just to have an integration between an IDE and the local platform. I think that would be an interesting feature.
Connecting Cognigy.AI Platform to our internal data had some challenges, with setup complexity existing, pricing clarity needing improvement, and privacy control for sensitive employee data needing improvement. The improvement areas for Cognigy.AI Platform include the setup complexity, pricing clarity, and privacy control, which all need to be enhanced so that we can control the employee-related data more carefully.