Why your platform team shouldn't build an AI context layer (even though they probably could)

Building an internal AI knowledge system involves more than setting up a vector database; it requires ongoing maintenance of data connections, governance, organization, and validation to ensure trust and compliance. Each stage—from capturing data to validating content—demands continuous effort to keep the system reliable and up to date as tools and APIs evolve.