Navigating AI Readiness in Energy: The Strategic Value of Application Mapping

Application landscapes in oil and gas operations grow site by site, not by design. Tools accumulate, ownership blurs, and an outsized share of the budget goes to keeping systems running rather than changing what the business can do.

That's costly on its own. It becomes a blocker the moment an organization commits to transformation. AI, LLMs, and a single-pane-of-glass environment all assume you already know which systems hold your data, who uses them, and which business capabilities they serve. Most organizations don't.

This session walks through an application mapping engagement at a major oil and gas operator carrying well above-average technical spend. We'll cover the progression from technology inventory, to business correlation, connecting applications to the work they actually support, to a map mature enough that business change drives technical change, not the other way around. 

Learning Objectives

• How to tell an application inventory from an application map and why the first one won't get you to transformation

• The business correlation step most inventories skip, and what it reveals about redundancy  

• Why a fragmented technical landscape slows response to regulatory change, and what the map does about it

• How mapping output feeds an ontology-based target state rather than sitting in a spreadsheet