Introduced by Celonis
AI adoption is accelerating, however outcomes usually lag expectations. And enterprise leaders are below stress to show measurable ROI from the AI options — particularly as using autonomous brokers rises and world tariffs disrupt provide chains.
The problem isn’t the AI itself, says Alex Rinke, co-founder and co-CEO of Celonis, a world chief in course of intelligence. “To succeed, enterprise AI needs to understand the context of a business’s processes — and how to improve them,” he explains. With out this enterprise context, AI dangers turning into, as Rinke places it, “just an internal social experiment.”
Subsequent week’s Celosphere 2025 will deal with the AI ROI problem head-on. The three-day occasion brings collectively buyer methods, hands-on workshops, and stay demonstrations, highlighting enhancements to the Celonis Course of Intelligence (PI) Platform that assist enterprises harness ‘enterprise AI,’ powered by PI, to constantly enhance operations, creating measurable enterprise worth at scale.
Concentrate on measurable ROI
The occasion’s give attention to attaining AI ROI displays three challenges dealing with expertise and enterprise leaders transferring from pilot to manufacturing: out of date programs, break-neck business change, and agentic AI. Based on Gartner, 64% of board members now view AI as a top-three precedence — but solely 10% of organizations report significant monetary returns.
Celonis clients are bucking that development. A Forrester Complete Financial Affect examine discovered organizations utilizing its platform achieved 383% ROI over three years, with payback in simply six months. One firm improved gross sales order automation from 33% to 86%, saving $24.5 million. The examine estimated $44.1 million in complete advantages over three years, pushed by sooner automation, diminished inefficiencies, and better course of visibility. These numbers underscore a broader sample — corporations that modernize outdated programs and align AI with course of optimization see sooner payback and sustained positive factors.
Actual corporations, actual outcomes
Celosphere will highlight how world enterprises are constructing “future-fit” operations. Mercedes-Benz Group AG and Vinmar Group will showcase AI-driven, composable options, powered by PI, and attendees will see demonstrations of PI enabling brokers in stay manufacturing environments.
Among the many notable success tales:
AstraZeneca, the pharmaceutical firm, diminished extra stock whereas preserving essential medicines flowing by utilizing Celonis as a basis for its OpenAI partnership.
The State of Oklahoma can reply procurement standing questions at scale, unlocking over $10 million in worth.
Cosentino clears blocked gross sales orders as much as 5x sooner utilizing an AI-powered credit score administration assistant.
Elevating the stakes for agentic AI
Quite a few classes will give attention to orchestrating AI brokers. The shift from AI-as-advisor to AI-as-actor, adjustments the whole lot, says Rinke.
“The agent needs to understand not just what to do, but how your specific business actually works,” he explains. “Course of intelligence gives these rails."
This leap from recommendation to autonomous action raises the stakes exponentially. When agents can independently trigger purchase orders, reroute shipments, or approve exceptions, bad context can mean catastrophically bad outcomes at scale.
Celosphere attendees will get to see first-hand how companies are using the Celonis Orchestration Engine to coordinate AI agents alongside people and systems. Effective orchestration is a crucial protection against the chaos of agents working at cross-purposes, duplicating actions, or letting crucial steps fall through the cracks.
Navigating tariffs and supply chain shocks
Global trade volatility isn't just a headline — it's an operational nightmare reshaping how companies deploy AI, Rinke says.
New tariffs trigger cascading effects across procurement, logistics, and compliance. Each policy shift can cascade across thousands of SKUs — forcing new supplier contracts, rerouted shipments, and rebalanced inventories. For AI systems trained on static conditions, that volatility is almost impossible to predict. Traditional AI systems struggle with such variability — but process intelligence gives organizations real-time visibility into how changes ripple through operations.
Celosphere case studies will show how companies turn disruption into advantage. Smurfit Westrock uses PI to optimize inventory and reduce costs amid tariff uncertainty, while ASOS leverages PI to optimize its supply chain operations, enhancing efficiency, reducing costs, and continuing to deliver an outstanding customer experience.
Platform over point solutions
Rinke argues that Celonis’ edge lies in treating process intelligence not as an add-on, but as the foundation of the enterprise stack. Unlike bolt-on optimization tools, the Celonis platform creates a living digital twin of business operations — a continuously updated model enriched by context that lets AI operate effectively from analysis to execution.
“What sets Celonis apart is visibility across systems and offline tasks, which is critical for true intelligent automation,” Rinke says. “The platform offers comprehensive capabilities spanning process analysis, design, and orchestration rather than a point solution.”
“Free the Process” and the future of AI
Celonis continues to champion openness through its “Free the Process” movement, promoting fair competition and freeing enterprises from legacy lock-in. By giving organizations full access to their own process data, open APIs, and a growing partner network that includes The Hackett Group, ClearOps, and Lobster, Celonis is building the connective tissue for a new era of interoperable automation.
For Rinke, this open foundation is what turns AI from a set of experiments into an enterprise engine. “Process intelligence creates a flywheel,” he says. “Better understanding leads to better optimization, which enables better AI — and that, in turn, drives even greater understanding. There is no AI without PI."
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