Connecting AI to real enterprise data sounds straightforward. Give it access to your systems. Let it read data. Let it take actions. In reality, this is where things start breaking. Not because the AI is wrong. Because the data and systems underneath are not stable enough. The assumption that fails Most people assume: if the data exists, AI can use it In real systems, data exists in inconsistent states. Same entity different systems different values An order might be: completed in one system pending in another duplicated somewhere else AI doesn’t know which one is “correct”. It just sees all of them. 1. Inconsistent data Enterprise systems are rarely in sync. You have: ERPs CRMs spreadsheets custom tools Each one updates at different times. Some fail silently. So when AI queries across them, it gets conflicting answers. This leads to: wrong insights incorrect decisions broken automations The issue isn’t AI accuracy. It’s data consistency. 2. Missing context AI works on what it can see.…