A Global Energy Provider
Industry
Energy
Year
2026
Stack
Azure Databricks, Azure AI Foundry, Axium
⸻ Business Impact
Turning IT Complexity into a Foundation for Modernization, Governance, and Cost Reduction
MobiLab helped a major European energy company transform fragmented architecture data into a governed, AI-enabled decision foundation with Axium, MobiLab’s Semantic AI platform.
For an energy business, a broad range of critical activities, from energy production and asset operations to trading, customer services, compliance, finance, and enterprise management, requires support by an ecosystem of applications.
When this landscape grows over decades, it becomes increasingly difficult to understand which systems matter, who owns them, what depends on them, and where modernization should begin.
The customer was managing a complex portfolio of nearly 5,000 different applications with thousands of capability mappings, interfaces, lifecycle attributes, ownership records, and governance data points distributed across the organization. The challenge was that decision-makers lacked a connected, trustworthy view of how the landscape actually worked.
With Axium, the customer established a foundation to:
Improve visibility across a complex, business-critical IT landscape
Connect applications, business capabilities, ownership, lifecycle status, interfaces, and fit assessments
Identify governance gaps such as missing SLA coverage, lifecycle status, and ownership
Support modernization and consolidation decisions with explainable, connected data
Replace fragmented enterprise architecture tooling with a semantic, AI-enabled architecture intelligence platform
Projected 50% reduction of overall IT cost in 10 years
Axium turns enterprise architecture from static documentation into a living decision system — helping management understand what exists, what matters, and where action is needed.
⸻ STARTING POINT
Critical IT Decisions Were Blocked by Incomplete Architecture Knowledge
The customer operates in a highly complex energy environment where technology supports both corporate and operational value chains. Applications are connected to physical assets, customer processes, regulatory obligations, market activities, and internal business functions. In this context, weak architecture visibility creates more than reporting problems. It creates risk.
Architecture knowledge was fragmented across legacy tools, disconnected repositories, spreadsheets, and manual documentation. Critical decision data, including lifecycle status, SLA coverage, technical fit, functional fit, ownership, interfaces, and business capability mappings, were incomplete or missing across large parts of the portfolio.
This created a strategic bottleneck. Without a reliable view of applications and dependencies, modernization roadmaps could not be built with confidence. Cost reduction initiatives were difficult to prioritize because teams could not clearly see which applications were redundant, which capabilities they supported, or what would be affected by retirement or consolidation.
⸻ SETTING THE FOUNDATION
From Static EA Documentation to Connected Knowledge
MobiLab introduced Axium as a new foundation for enterprise architecture intelligence.
Instead of treating applications as isolated records in a database, Axium models the IT landscape as a connected enterprise graph. Applications are linked to capabilities, interfaces, lifecycle status, ownership, SLA coverage, technical fit, functional fit, and other decision-relevant dimensions.
This is essential in an organization with a complex operation, where modernization decisions cannot be made by looking at systems one by one. However, applications need to be investigated for what they support, and how they are connected.
With Axium, the customer moved from manually maintained architecture inventories toward a governed, semantic model that makes architecture data explainable, searchable, and usable for decision-making.
⸻ SOLUTION
An Axium-Powered Architecture Cockpit for Management and IT Teams
MobiLab built an Axium-based architecture intelligence platform that gives the customer a connected view of its IT landscape and enables decision-makers to interact with architecture knowledge directly.
The solution combines semantic modeling, governed inventory management, AI-assisted discovery, and a management-facing cockpit. It allows users to explore architecture information through both structured views and natural-language interaction.
The platform includes four key surfaces:
1. Chat
A conversational entry point that allows users to ask questions about architecture data in plain language.
3. Data Studio
A workspace for manual and AI-guided modeling, helping teams structure and enrich architecture knowledge.
2. Insights
Management-facing views for lifecycle, impact, dependencies, and capability-oriented analysis.
4. Inventory
A governed application portfolio view covering ownership, lifecycle, SLA, fit, and capability coverage.
This makes architecture data usable beyond specialist enterprise architecture teams. Business and IT leaders can use the same connected foundation to understand risk, identify gaps, and prioritize action.
MobiLab built an Axium-powered management-facing architecture cockpit with connected surfaces for chat, insights, data studio, and inventory.
From Incomplete Data to Evidence-Based IT Decisions
With Axium in place, the customer can move from fragmented architecture documentation to active portfolio intelligence.
The platform enables:
- Better visibility across applications, capabilities, dependencies, and ownership
- Faster identification of lifecycle, SLA, and governance gaps
- More reliable modernization and consolidation planning
- Stronger support for cost reduction and security posture
- Natural-language access to architecture knowledge for non-expert users
- A scalable foundation for continuous IT portfolio management
Most importantly, Axium helps shift enterprise architecture from passive documentation to active decision support.
⸻ CONCLUSION
A Living Architecture Foundation for Continuous Transformation
This project demonstrates how enterprise architecture can become a strategic capability when the underlying data is connected, governed, and explainable.
For a large energy company, modernization is not only about replacing old systems. It is about understanding a complex digital landscape that supports critical operations, customer services, market activities, and regulatory obligations.
By implementing Axium, the customer created the foundation to manage that complexity with greater clarity and confidence. Architecture information is no longer locked in fragmented tools or expert knowledge. It becomes a living model that supports modernization, governance, consolidation, risk reduction, and long-term cost control.
Axium is not simply another tool in the landscape. It becomes the foundation for understanding and evolving the landscape itself.
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