Hello,
Over the past week, I’ve had multiple discussions with our team, all converging on similar challenges:
“Is this property being actually being used anywhere?”
“Why are there two final boolean values on 1 object?”
“Which location property is correct? & why is there two?”
While our new workflow builder application enabled us to resolve these questions efficiently, the fact that these questions arose suggests an opportunity for improvement.
It would be invaluable to have an AI-driven mechanism that proactively analyzes our ontology and highlights potential redundancies, inconsistencies, or potential deprecated properties. For instance, an AI agent could flag:
-Unused or redundant properties: “This property is only referenced in a single instance—should it be deprecated or repurposed?”
-Similar but inconsistently used properties: “This property closely resembles another but is applied in different contexts—should they be standardized?”
By providing such insights, an AI-driven solution could not only enhance our documentation and governance but also ensure long-term data integrity. This would reduce the need for manual verification and prevent recurring discussions around data trustworthiness.
I’d love to hear if others have encountered similar challenges and how they have approached them.