Everyone in oil and gas is talking about AI agents. but before any agent can answer a question or surface an insight, it needs clean, structured data to work with. Most enterprise data in oil and gas isn't that.

Decades of legacy documents, inconsistent file structures, scanned files, and terabytes of unorganized data on shared drives are the real reason AI agents fail in production. 

We are going to break down exactly what it takes to fix that , from document classification to extraction pipelines to duplicate detection. 

This is the conversation that needs to happen before your next AI deployment.