Celonis

Context enables more efficient use of AI For sustainability, AI is a double-edged sword. While it undoubtedly delivers the means to optimize resource use and hit sustainability targets, it can also be resource-heavy when deployed without business context. Much of the discussion around AI's environmental impact has focused on model training and hyperscale data centers.

As the world’s technology leaders gather in Paris for VivaTech 2026, one question will dominate the conversations taking place across boardrooms, government delegations, startup stages, and innovation hubs: How do we turn AI’s promise into meaningful, scalable performance? AI excitement has never been greater.

I've walked through the three technical steps, but there's one final element I can't leave out: the cheering. At Celonis, we talk a lot about "context." True process improvement isn't just about mapping what is happening; it's about understanding why it's happening, including the background conditions that make the difference. Capturing that broader context is what separates a sustainable transformation from a surface-level fix. We brought that same mindset to the tournament streets.

https://delivery-p141552-e1488202.adobeaemcloud.com/adobe/assets/urn:aaid:aem:1f813b32-f2fc-4ceb-8ffc-b77b40832c19/as/large-260102_MSFT-AI-Tour-NYC_WebpageImages_Hero_1080x720px.jpg?preferwebp=true This post is based on the talk "No Shame, Just Pain: How We Migrated Away From Kubernetes 1.16" presented by Jannis Relakis and Michael Seiwald-McCarty at KubeCon + CloudNativeCon EU 2026, Amsterdam.

Navigating the Future of Process Intelligence: A Conversation with North America Sales Leader - Ewan Henderson commercial_Celosphere_2024_People_gathering.jpg In the rapidly evolving landscape of Enterprise AI, few technologies are as foundational as Process Intelligence.

72dpi_mgo-media_R6M_6215-2.jpg Strategic thinkers are trading slide decks for real-world impact. We spoke to Celonauts who moved from the world of consulting to high tech at Celonis to find out why. Their goal? Move beyond high-level roadmaps and start delivering the technology that actually powers global enterprises. Here is what we learned. Shift From Advising on Change to Building It For many consultants, the satisfaction of a recommendation eventually fades.

frank0000.jpg At Celonis, our mission is to make processes work for people, companies, and the planet. To achieve this, we need to build the best teams. Building the best team requires more than just a competitive salary—it requires a cohesive rewards offering. I’m often asked how we design a benefits package that actually works. Here is a transparent look at how we reward excellence at Celonis. A Transparent, Market-Anchored Pay Philosophy We don’t believe in guesswork.

From her early days as a Lead Consultant to the Director of CoE Services and AI Practice Lead for India, Shilpa’s journey is a testament to ‘intentional growth’ and culture of ownership that defines life at Celonis. We sat down with her to discuss how the India Services team combines process intelligence, AI, consulting and delivery excellence to drive measurable outcomes for Celonis customers.

M44-VE Header picture.png Enterprise AI has moved from the boardroom to the front lines, but the gap between "having data" and "generating value" remains. At Celonis, Value Engineers (VEs) bridge this divide by orchestrating the entire customer lifecycle—from identifying high-impact use cases to realizing millions in measurable results. Enterprise AI is no longer a future ambition — it’s a boardroom priority.

Guillermo Cano joined Celonis in April 2022 as the first Quality Engineering Manager in Madrid, tasked with building a new QE team from the ground up. Today, that team spans Madrid and Munich, delivering reliable, high-quality features at scale. For Guillermo, leading a diverse, cross-cultural team has been as much about personal growth as it has been about shaping the future of quality engineering. DSC02056 (1).jpg What attracted you to Celonis?