Majority of companies are exploring ways in which GenAI and specifically LLMs can help improve product adoption and customer enablement using their existing knowledge assets. But, there is a catch. Product knowledge is scattered, written in various formats and silos, and often includes sensitive content which, if not handled correctly, poses security and compliance risks.

These challenges cause development teams building AI applications to spend enormous amounts of time and effort creating and maintaining point-to-point integrations to enterprise knowledge repositories and solving for content governance issues.