Offered by Celonis
AI adoption is accelerating, however outcomes typically lag expectations. And enterprise leaders are beneath stress to show measurable ROI from the AI options — particularly as the usage of autonomous brokers rises and international 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 wants to know the context of a enterprise’s processes — and how one can enhance them,” he explains. With out this enterprise context, AI dangers turning into, as Rinke places it, “simply an inner 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 reside 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.
Give attention to measurable ROI
The occasion’s give attention to attaining AI ROI displays three challenges going through expertise and enterprise leaders shifting from pilot to manufacturing: out of date techniques, break-neck trade change, and agentic AI. In accordance with Gartner, 64% of board members now view AI as a top-three precedence — but solely 10% of organizations report significant monetary returns.
Celonis prospects are bucking that pattern. A Forrester Complete Financial Influence 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 quicker automation, decreased inefficiencies, and better course of visibility. These numbers underscore a broader sample — corporations that modernize outdated techniques and align AI with course of optimization see quicker payback and sustained good points.
Actual corporations, actual outcomes
Celosphere will highlight how international 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 reside manufacturing environments.
Among the many notable success tales:
AstraZeneca, the pharmaceutical firm, decreased extra stock whereas holding 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 quicker utilizing an AI-powered credit score administration assistant.
Elevating the stakes for agentic AI
Quite a few periods will give attention to orchestrating AI brokers. The shift from AI-as-advisor to AI-as-actor, modifications the whole lot, says Rinke.
“The agent wants to know not simply what to do, however how your particular enterprise really works,” he explains. “Course of intelligence gives these rails."
This leap from suggestion to autonomous motion raises the stakes exponentially. When brokers can independently set off buy orders, reroute shipments, or approve exceptions, unhealthy context can imply catastrophically unhealthy outcomes at scale.
Celosphere attendees will get to see first-hand how corporations are utilizing the Celonis Orchestration Engine to coordinate AI brokers alongside folks and techniques. Efficient orchestration is a vital safety towards the chaos of brokers working at cross-purposes, duplicating actions, or letting essential steps fall by way of the cracks.
Navigating tariffs and provide chain shocks
World commerce volatility isn't only a headline — it's an operational nightmare reshaping how corporations deploy AI, Rinke says.
New tariffs set off cascading results throughout procurement, logistics, and compliance. Every coverage shift can cascade throughout hundreds of SKUs — forcing new provider contracts, rerouted shipments, and rebalanced inventories. For AI techniques skilled on static situations, that volatility is sort of inconceivable to foretell. Conventional AI techniques wrestle with such variability — however course of intelligence offers organizations real-time visibility into how modifications ripple by way of operations.
Celosphere case research will present how corporations flip disruption into benefit. Smurfit Westrock makes use of PI to optimize stock and cut back prices amid tariff uncertainty, whereas ASOS leverages PI to optimize its provide chain operations, enhancing effectivity, decreasing prices, and persevering with to ship an impressive buyer expertise.
Platform over level options
Rinke argues that Celonis’ edge lies in treating course of intelligence not as an add-on, however as the inspiration of the enterprise stack. Not like bolt-on optimization instruments, the Celonis platform creates a dwelling digital twin of enterprise operations — a constantly up to date mannequin enriched by context that lets AI function successfully from evaluation to execution.
“What units Celonis aside is visibility throughout techniques and offline duties, which is essential for true clever automation,” Rinke says. “The platform gives complete capabilities spanning course of evaluation, design, and orchestration slightly than a degree answer.”
“Free the Course of” and the way forward for AI
Celonis continues to champion openness by way of its “Free the Course of” motion, selling honest competitors and releasing enterprises from legacy lock-in. By giving organizations full entry to their very own course of information, open APIs, and a rising associate community that features The Hackett Group, ClearOps, and Lobster, Celonis is constructing the connective tissue for a brand new period of interoperable automation.
For Rinke, this open basis is what turns AI from a set of experiments into an enterprise engine. “Course of intelligence creates a flywheel,” he says. “Higher understanding results in higher optimization, which permits higher AI — and that, in flip, drives even better understanding. There isn’t a AI with out PI."
Sponsored articles are content material produced by an organization that’s both paying for the put up or has a enterprise relationship with VentureBeat, they usually’re at all times clearly marked. For extra data, contact gross sales@venturebeat.com.
[/gpt3]
