Maintenance Excellence Transformation
Current-state assessment, target architecture, use-case selection, transformation roadmaps, implementation governance, and acceptance criteria.
Digital transformation for oil and gas
Modernize the systems that keep your plant running
2E helps oil and gas operations modernize systems, integrate data, automate work, and deploy AI safely. The firm combines maintenance and reliability expertise with experience building performance-critical software, sensor, and enterprise systems.
Services
Consulting and implementation
System Setup, Migration & Data Modernization
CMMS and EAM setup and migration, system integration, data governance, cutover, validation, and maintenance-data modernization.
AI Enablement, Automation & Predictive Maintenance
Enterprise AI environments, workflow automation, predictive maintenance, governance controls, custom skills, training, and private infrastructure.
Custom Software & AI Bring-up
Role-specific oil and gas applications and AI workflows, integrations, interfaces, validation, deployment, documentation, and lifecycle support.
About 2E
A digital transformation firm for oil and gas.
Most transformation programs separate maintenance and reliability from system design and software delivery. 2E brings both disciplines into the same scope, so the operating model, data, controls, and technology are designed together.
About the firmLeadership
Meet the leadership teamInsights
Working notes on oil and gas systems, maintenance, and AI.
AI & Automation
The operational foundation for AI adoption
When a few people run far ahead of the operation around them, their output enters processes that are not set up to handle it. What that costs, and what readiness actually requires.
AI & Automation
The asset data foundation for AI in maintenance and reliability
There are real gains available from AI in maintenance and reliability. Most pilots stall on the asset and item data underneath them, not on the models.
PM Strategy
Why preventive maintenance programs fall short
A PM program can only schedule what the records describe. When maintenance falls short the cause is usually the asset and item data underneath it, not the maintenance strategy.