Most enterprises don't have a data problem anymore, they have a context problem. AI can access your dashboards and reports, but it doesn't know which definition of "active customer" your business trusts, or which system is the real source of truth. In this video, we break down the patterns holding AI projects back after the proof-of-concept stage: inconsistent definitions, undocumented knowledge, disconnected data, and a lack of trust in AI recommendations—and why documentation alone won't fix it. We'd love to hear what you're seeing: is business context one of the biggest blockers to enterprise AI at your organization? Share your thoughts in the comments below.