Community Call | How To Make Your Oil and Gas Enterprise Data AI Agent-Ready

​Everyone in oil and gas is talking about AI agents. But before any agent can answer a question, run an analysis, or surface an insight, it needs clean, structured, accessible data to work with. Most enterprise data in oil and gas is none of those things.

​Decades of legacy documents, inconsistent file structures, scanned files, and terabytes of unorganized data sitting on shared drives are the reason AI agents fail to deliver in production, not just a minor inconvenience. The companies that figure out how to make their enterprise data agent-friendly are the ones that will actually get value out of AI. The ones that do not will keep waiting.

​In this community call, John Kalfayan (FDE, Collide) and Bobby Neelon (Principal Consultant, Drill Down Analytics) break down exactly what it takes to get your enterprise data into a state where AI agents can use it — from document classification and duplicate detection to extraction pipelines and data validation. This is the conversation that needs to happen before your next AI deployment.