I hear it constantly now. "We want to deploy an AI agent." Great. What data does it have access to?
The answer I usually get back sounds something like this. "Most of it is in e-automate, some policies are in a folder somewhere, our service knowledge is basically with our senior tech who has been here for fifteen years, and the rest is in people's heads."
That is the real problem. Not the AI. The data.
Here is the honest truth about AI agents. They do not create knowledge. They organize and surface it. If your data is scattered, inconsistent, or locked in someone's head, your agent will be scattered, inconsistent, and know nothing useful. You can have the best model on the market and it will still give your customers garbage answers if the underlying data is garbage. This is not a technology problem. It is a documentation problem that has existed for years, and AI is finally making it impossible to ignore.
The starting point is your e-automate data. Before you deploy anything, run these eight processes and fix what they surface: ID20, ID293, ID156, ID305, ID157, ID337, ID759, and ID838.
These are not edge cases. We see them in the majority of the databases we look at. A few hours fixing what these eight processes surface will save you months of chasing bad AI answers. The full list is at support.ceojuice.com.
