Understanding the enterprise data in a big size and complexity is really a big pain point which contextual AI is able to resolve to limit with use of AI and integrations.

I really appreciate how Contextual AI provides answers based on my organization's actual information with retrieval, citations, and permissions, rather than just using what the model already knows. This feature makes the answers much more trustworthy. I like that it understands and uses context behind information, avoiding generic AI responses. It's particularly useful in generating test cases and test scenarios for automation, significantly reducing the manual effort needed to translate requirements into test coverage. Also, the setup was good and easy, which was a nice surprise.

Contextual AI makes it easier to build AI applications that can understand and retrieve relevant information from large knowledge bases. Its context-aware retrieval is especially helpful for improving the accuracy and relevance of responses, while also reducing the amount of manual effort needed to organize and manage information.