Uniper
Get email alerts
New customer deployments for Uniper, straight to your inbox. No account needed.
Uniper has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country. Key partners include Celonis.
2
1
1
Hyperscaler mix
See whether Uniper's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Uniper builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Uniper
Energy operations automation leads with 2 of 2 documented cases; 1 distinct type appears across the visible portfolio.
Reported outcomes
1 case reports measurable results
+80%
Productivity & throughput
median · 1 metric
−50%
Time & speed
median · 1 metric
Medians of results published in Uniper cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Uniper uses across visible cases
Copilot & AI Assistants appears in 2 of 2 indexed cases; 6 named technologies are mentioned, led by Copilot for Microsoft 365.
All Use Cases (2)
Uniper transforms business processes with AI-powered workflow automation
Uniper, a major player in the energy sector, collaborated with Celonis and Microsoft to undertake a comprehensive digital transformation of its business processes. The project aimed to achieve operational excellence, transparency, and streamlined workflows using advanced AI and automation technologies. By integrating Microsoft Copilot Studio, Power Automate, and Microsoft Fabric with the Celonis Process Intelligence platform, Uniper deployed AI-driven process orchestration across 27 mission-critical business functions. Over 350 users interact with the system, connecting to multiple enterprise data sources.The project involved end-to-end process improvements, from plant maintenance and HR to IT service management and financial reporting. Uniper realized tangible results, including increased workplace safety, shortened recruiting cycles, faster IT response, and enhanced reporting. The approach also set a blueprint for AI adoption in the broader energy industry.This collaboration demonstrates how the interplay of Celonis workflow intelligence and Microsoft AI technologies enables scalable, intelligent automation tailored for complex environments like energy production and distribution. The article details real-world outcomes, positioning Uniper as a leader in leveraging AI for large-scale operations.
Uniper empowers energy workforce and accelerates transition with AI automation
Uniper, a leading German energy company, embarked on a digital transformation journey to support the EU’s climate neutrality goals by scaling renewable energy and modernizing operations. Facing a shortage of skilled workers and growing data complexity, Uniper adopted a unified cloud strategy with Microsoft Azure in 2016. To streamline workflows, the team introduced Copilot for Microsoft 365 for all employees, automating tasks like meeting transcription, action point extraction, and content summarization across enterprise data. Auditors leveraging Copilot can now create audit plans and checklists more efficiently, boosting audit productivity up to 80%. AI models also optimize energy trading decisions and provide near real-time recommendations. On the cybersecurity front, Copilot for Security speeds up threat detection and incident response, while also supporting automated compliance and device management. By reducing repetitive overhead, these tools allow staff to focus on value-adding work, delivering not only operational efficiencies for Uniper but also faster, better products for customers and advancing the energy transition.
Ask the analyst
A question about Uniper the page doesn't answer? I read every one — the good ones get answered here.