Celonis makes processes work for people, companies, and the planet. The Celonis Process Intelligence Platform takes the data from the systems you already use, and presents you with a living digital twin of your end-to-end processes. It’s system-agnostic, without bias, and provides everyone with a common language for understanding and improving processes.
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A solution for finance teams to resolve disputes faster and recover lost revenue, leveraging the Celonis Process Intelligence Platform.
Meet Process Intelligence: the connective tissue of your enterprise, powered by Celonis’ industry-leading process mining technology. Process Intelligence connects you to your processes, your teams to each other, and AI to your business.
The Celonis Context Model combines end-to-end process data, business knowledge, and intelligence, providing operational clarity for Enterprise AI to reason correctly, decide sensibly, and act reliably.
This article offers 10 strategies for scaling technology, including Celonis, which is highly relevant for MSPs who manage and implement technology solutions for their clients.
Read moreFounded
2011
Employees
3k
Industry
Information Technology & Services
Headquarters
New York, New York, United States
Annual Revenue
$400M
Focus Areas
Celonis has been recognized as a Leader in Gartner's 2026 Magic Quadrant for Digital Twin of an Organization Platforms. This industry validation reinforces Celonis's market position, which can be beneficial for MSPs when positioning Celonis-based solutions and services to potential clients.
This post highlights Celonis partners developing new AI-powered solutions, signaling opportunities for MSPs to engage in the Celonis ecosystem and build value-added services for their clients.
Read moreThis post discusses Contextual Intelligence Platforms as the foundation for reliable AI agents, providing MSPs with insights into core AI infrastructure relevant for client solutions.
Read moreThis report details an AI Lab event where participants built solutions using Celonis and Microsoft, indicating potential integration points and solution-building opportunities for MSPs leveraging both platforms.
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