Exploring Beyond Data Lineage: Tracking What AI Agents Actually Do
I have devoted quite a considerable amount of time to the concept of lineage within the context of data governance. This concept is relatively straightforward: if I am working with the data, then I should have enough understanding of its origins, its journey, and its destination.
Such approach has proven itself effective when it comes to figuring out the course of the data.
However, things get more complicated when an AI agent comes into play. An AI agent does not necessarily consume or transform data; it may use the data for decision-making or invoking other systems or tools.
In other words, I do not just need to know the destination of my data anymore. I also need to understand: How the data has been used by the AI agent?
When AI Agents Move From Data to Action
Let’s take a simple example:
A user requests help from an AI-assisted support...
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