Slovenské Elektrárne, Slovakia’s largest electricity producer, was dealing with increasingly complex operations across **nuclear, hydro, and renewable plants**. Over time, several issues started to slow the business down: - **Fragmented systems and scattered knowledge**: Critical information was spread across multiple systems and documents. Employees spent significant time just trying to find the right data, which delayed decisions and increased operational risk. - **Rising technical debt and aging infrastructure**: Legacy on-premises systems were hard to scale and expensive to modernize, especially in fast-moving areas like AI. - **Slow, reactive workflows**: Teams were stuck in “search mode” instead of “analysis mode,” leaving less time for actual problem-solving and planning. Leaders recognized they needed more than incremental fixes. They wanted to **connect data, scale expertise, and enable faster, more confident decision making**. This led them to build a **cloud-native platform** using **Microsoft Foundry (formerly Azure AI Foundry)** and Azure services, creating a secure, hybrid architecture that could support AI agents, a company-wide chatbot, and modern analytics. As IT Manager Gabriel Farkaš put it, AI and cloud transformation became a practical way to **speed up work, remove waste, and automate low-value activities**, while still managing risk and meeting strict regulatory requirements.

Slovenské Elektrárne built a **cloud-native, hybrid platform** with Microsoft Foundry at the center, and then layered AI capabilities directly into everyday work. Key elements include:

• AI-powered agents and a company-wide chatbot
  Employees can ask questions in natural language and get contextual answers drawn from documentation, enterprise systems, and historical data. This has:
  • Improved knowledge access for 1,200+ monthly users.
  • Helped employees come better prepared to meetings—or avoid some meetings altogether by resolving questions themselves.
• Automation of document-heavy processes
  AI agents now handle many repetitive, manual tasks around technical and regulatory documentation. The impact is measurable:
  • About 1,800 workdays saved in 2025 on technical and regulatory documentation.
  • Another 340 workdays saved in quality-plan processing.
  • AI-powered summarization saves 90+ workdays annually.
• Structured knowledge and training at scale
  The company generated 4,000+ domain-specific test questions from operational manuals across 12 hydro power plants, helping standardize knowledge and accelerate learning.
• Unlocking previously unusable data
  Using Azure Vision, Slovenské Elektrárne converted 29 TB of scanned data into a structured digital map of 327 assets, improving traceability and operational decision making.
• Secure, hybrid architecture by design
  Cloud and AI services are deliberately kept outside core plant systems and are not connected to nuclear operations. Security is reinforced with strict governance, role-based access controls, and human validation of AI outputs.

The net effect is a shift from reactive data searching to **proactive analysis**. Information that once took hours to reconcile—such as the full change history of a specific component—can now be surfaced instantly, giving teams more time to focus on higher-value work.

Since modernizing its data and AI environment with Microsoft Foundry and Azure, Slovenské Elektrárne has seen both quantitative and qualitative benefits:

• Significant time savings and efficiency gains
  • 2,100+ workdays saved overall through AI-driven automation and assistants.
  • Within that, around 1,800 workdays saved in 2025 on technical and regulatory documentation processes.
  • An additional 340 workdays saved in quality-plan processing.
  • 90+ workdays saved annually through AI-powered summarization.
• Wider access to knowledge and tools
  • 1,200+ employees use the internal chatbot each month.
  • The chatbot is supported by 10 specialized AI agents that connect ERP systems, IT tools, and company documentation.
  • 4,000+ test questions generated from manuals across 12 hydro plants to standardize training and knowledge.
• Better use of existing data
  • 29 TB of scanned data converted into a structured digital map of 327 assets using Azure Vision.
  • Improved data quality and traceability, with AI extraction always paired with human validation—critical in a safety-focused environment.

Beyond the numbers, the organization has **reimagined how work gets done**: - Employees can access reliable information faster, which supports more confident and timely decisions. - Knowledge is no longer locked in individual systems or people; it is shared and embedded into daily workflows. - The company is now extending this foundation toward an AI-powered knowledge system, exploring areas like digital twins and advanced analytics to improve planning, reduce downtime, and enhance resilience. In short, Azure AI and Microsoft Foundry have helped Slovenské Elektrárne reshape operations, reduce manual effort, and build a platform for ongoing innovation in a highly regulated, mission-critical environment.