Transforming global energy operations through Enterprise Experience Architecture.
Unifying a fragmented digital ecosystem across engineering, high-risk field operations, and global logistics for one of the world's leading energy companies — driving millions of dollars in quarterly margin improvements.
What was at stake.
One of the world's leading energy companies was managing hundreds of millions of barrels of product across three continents — on spreadsheets, siloed email threads, and manual processes.
Despite the scale of the operation — engineering capital projects, high-risk field operations on land and sea, and a multi-billion dollar commodity trading business spanning the USA, Latin America, and Europe — critical segments of the enterprise were running on fragmented legacy tools that had grown up independently over decades. The digital footprint had never been architected as one.
Three existential business imperatives drove the mandate for transformation. The knowledge drain — a generation of highly specialized Subject Matter Experts was retiring, and the company needed intelligent tools to capture institutional knowledge and guide the next generation of engineers. Margin volatility — commodity prices fluctuate by the minute, and relying on static spreadsheets meant missed opportunities in tight pricing windows. And risk and life safety — the danger of a quality issue in field operations isn't measured in lost revenue; it costs lives. Regulatory scrutiny demanded a system that left zero room for human error.
The business stakes were direct. Every hour spent navigating broken interfaces was an hour not spent on the work that generated revenue or protected lives. Leadership had committed to a multi-year digital transformation, and the experience layer was the last mile that would determine whether the underlying investments paid off.
Bringing EXA to the problem.
The transformation required a strategic shift away from digitizing broken processes. Every decision was decomposed through the three pillars of Enterprise Experience Architecture — scale, intelligence, and clarity — to architect an intelligent, unified ecosystem rather than a collection of patched tools.
From fragmented UI to governed architecture
You cannot scale a global enterprise transformation with isolated development teams and a fragmented UI. We architected a deeply tokenized Enterprise Design System from the ground up, built for the complex, data-dense realities of Oil & Gas dashboards and aligned directly to the engineering team's Micro-Front End architecture.
AI and automation as connective tissue
We replaced static spreadsheets and manual workflows with intelligent alerts, proactive indicators, and automated data feeds connecting upstream and downstream systems. The architecture itself did the heavy lifting — surfacing the right information at the right moment rather than requiring users to hunt for it.
Cognitive endurance for high-stakes work
Engineers, schedulers, and field operators spend entire days inside these tools. We engineered aggressive cognitive-load reduction into every surface — standardized spatial relationships, predictable interaction models, and integrated HSE protocols that eliminated the space for human error.
What was designed and deployed.
Three integrated initiatives — an Enterprise Design System, a smarter engineering and operations platform, and a dynamic commodity supply chain system — architected as a single ecosystem rather than three discrete projects.
The Enterprise Design System (EDS) became the foundation. We audited fragmented legacy applications to identify common behavioral patterns, then established a centrally governed UI library in Figma — not a collection of buttons, but a deeply tokenized architectural framework built for enterprise data density. We aligned every UI component directly with the development team's Micro-Front End architecture, mapping Figma components one-to-one with reusable code components. The design-to-development pipeline became seamless. Governance models — including intake processes for new components and strict design-QA gates — meant development teams inherited accessibility-tested, visually approved components by default. Culture shifted from enforcement to adoption because the EDS was simply the faster path.
Smarter engineering and high-risk operations came next. We mapped the full lifecycle of capital construction — from design engineers through QA reviews to operations implementation — and transitioned the company away from fragmented emails and spreadsheets into a highly integrated environment providing insight-driven decision support for multi-million-dollar capital projects. The platform unified operations, construction groups, and SMEs, enabling quicker deployment of drilling platforms while ensuring engineering standards were met or exceeded. Critically, we integrated Health, Safety, and Environment platforms to monitor safety and risk in dangerous field operations on land and sea — ensuring compliance rules were strictly adhered to and protecting the company's most valuable asset: its people.
The global commodity supply chain platform replaced a failed earlier attempt by a development team that had built what amounted to a less user-friendly version of Excel. We evaluated the true business outcomes and identified the missing element — intelligence and automation in the workflows themselves. The new system dynamically manages the movement of petroleum products across pipelines, marine vessels, rail cars, and trucks. Schedulers and operations personnel got both visual and grid-based management interfaces. Intelligent alerts, proactive indicators of necessary actions, and automated data feeds to upstream and downstream systems eliminated cognitive overload — giving users unprecedented clarity and control over a massive global network.
What changed.
Impact was measured across four dimensions — margin capture from the trading desk, engineering velocity from the design system, reduction of costly rework from unified collaboration, and improved safety outcomes from integrated HSE platforms.
Millions in margin improvement. Even with only a partial implementation of the supply chain platform, clear visibility into multimodal transport drew a spectacular response from the trading desk — achieving millions of dollars in margin improvement every quarter through optimized routing and reduced vessel wait times.
30–40% faster deployments. The MFE-integrated design system drastically reduced front-end development friction. Design-to-code handoffs became faster, allowing the enterprise to push critical features to the field quicker and with 100% visual consistency.
Reduced engineering rework. By creating a single source of truth for construction collaboration, the smarter engineering tools significantly reduced costly on-site rework and drove down engineering hours per major capital project.
Enhanced safety and compliance. The integrated HSE dashboards are actively driving down recordable safety incidents by ensuring rigid adherence to safety protocols across all land and sea operations.
Why this matters.
At the scale of complex digital ecosystems, the question is never "how do we design a better screen." The question is "how do we design a system that produces better screens by default." This engagement validated EXA — treating enterprise experience as an architectural discipline rather than a design discipline — as the operating model that makes global transformations possible.
The energy sector is one of the clearest proving grounds for intelligent enterprise design. Regulation is heavy. Scale is global. Safety is non-negotiable. Commodity trading operates in minute-by-minute pricing windows. When experience architecture works in this environment — driving millions in quarterly margin, 30–40% faster deployments, reduced engineering rework, and measurable safety improvements — it works anywhere.
This case proves something broader: at the scale of complex digital ecosystems, the work is architectural, not decorative. What the business required was the EXA discipline of designing the centralized utility that powers the portfolio — not the surface of individual applications. The margin multiplier effect came from that architectural reframing, not from any single screen.