What was the impact of the AI solution?

Implemented across 27 processes and 8 systems. Supported more than 350 active users. Optimized recruiting, business reporting, incident response, proposal management, and financial reporting workflows. Reduced risk and supplier waiting times and improved recruiting candidate experience. Reduced operational costs and improved external supplier steering.

Source

MicrosoftProductionEvidence: Medium50/100

Uniper's AI-Driven Digital Transformation in Energy with Microsoft Copilot and Celonis

Use case typeWorkflow automationUpdated May 20, 2025

Uniper, a major German energy company, faced significant operational challenges and sought to lead digital transformation in the energy sector. Leveraging Microsoft Copilot Studio, Power Automate, and Celonis Process Intelligence platform, Uniper scaled AI deployments to automate workflows, enhance process transparency, and orchestrate end-to-end operations. Implemented across 27 processes and 8 systems, the AI-powered solution optimized recruiting, business reporting, incident response, and financial processes while supporting sustainability goals.

Organization: Uniper
Industry: Energy & Utilities
Location: Germany
Published: May 2025

Reported outcomes

350 users

active usersAdoption & scale

Strategic outcomes

Other strategic outcomeReduced operational costs and supplier waiting timesEmployee experienceImproved recruiting candidate experienceRisk & complianceReduced risk and improved safe work complianceSpeed & agilityFaster incident response and proposal cyclesBetter decisions & insightEstablished a trusted-advisor, data-driven eAudit approach

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Active users: 350 users increase

CelonisMay 20, 2025Press releaseExplicit claimMedium evidence strength

supporting more than 350 active users

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Uniper
Provider: Microsoft
Maturity: Production
Linked source: Celonis

Uniper, a major German energy company, faced significant operational challenges and sought to lead digital transformation in the energy sector

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1Workflow automation
2Workflow orchestration
3Recruitment automation

significant operational challenges
need to improve process transparency and orchestrate end-to-end operations
sought to lead digital transformation in the energy sector

Using Microsoft Copilot Studio and Power Automate, Uniper scaled the use of artificial intelligence across the company.
Celonis Process Intelligence provided a process-centric data foundation to develop agents and identify value-driving AI use cases.
The collaboration enabled AI-driven automation and end-to-end process orchestration across enterprise workflows.

Technologies

Copilot Studio Power Automate Celonis Process Intelligence Microsoft Fabric Microsoft Teams Microsoft Power BI

Implemented across 27 processes and 8 systems.
Supported more than 350 active users.
Optimized recruiting, business reporting, incident response, proposal management, and financial reporting workflows.
Reduced risk and supplier waiting times and improved recruiting candidate experience.
Reduced operational costs and improved external supplier steering.

Architecture

Celonis provides a system-agnostic process intelligence platform as a process-centric data foundation to develop agents in Microsoft Copilot Studio. Microsoft Copilot Studio and Power Automate are used to scale AI deployment across Uniper, with integration to Microsoft Fabric and the broader Microsoft productivity suite including Teams and Power BI.

Sources & evidence1

Evidence: Medium50/100Evidence strength