Presented by Ceylonese
Adoption of AI is accelerating, but the results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from AI solutions — especially as the use of autonomous agents increases and global revenues disrupt supply chains.
It’s not the AI itself, says Alex Rink, co-founder and co-CEO of Selonis, a global leader in process intelligence. “To be successful, enterprise AI needs to understand the context of a business’s processes – and how to improve them,” he explained. Without this business context, AI risks becoming, as Rinke puts it, “just an internalized social experiment.”
next week Cellosphere 2025 AI will tackle the ROI challenge. The three-day event brings together customer strategies, hands-on workshops, and live demonstrations, highlighting the enhancements to the Celonus Process Intelligence (PI) platform that help businesses improve their business processes, improve business intelligence, and improve business intelligence.
Focus on measurable ROI
The event’s focus on achieving AIROI reflects three challenges that technology and business leaders face in moving from pilot to production: obsolete systems, break-neck industry change, and agent AI. According to Gartner64% of board members now see AI as a top three priority—yet only 10% of organizations report meaningful financial returns.
Salonis users are driving this trend. a Forrester Total Economic Impact Study Organizations using its platform achieved a 383% ROI in three years, with payback in just six months. One company improved sales order automation from 33% to 86%, saving $24.5 million. The study estimates $44.1 million in total benefits over three years, driven by rapid automation, reduced inefficiencies, and higher process visibility. These numbers indicate a broader pattern. Companies that modernize outdated systems and align AI with process optimization see rapid payback and consistent benefits.
Real companies, real results
Cellosphere will highlight how global enterprises are building “future-fit” operations. Mercedes-Benz Group AG and Winmar Group will present AI-powered, composable solutions powered by PI, and attendees will see demonstrations of PI-enabled agents in a live production environment.
Among the notable success stories:
Astra Zenecaa pharmaceutical company, reduced excess inventory of critical drugs by using Celonis as the foundation of its OpenAI partnership.
State of Oklahoma Purchase status questions can be answered at scale, costing more than $10 million.
Cosentino Block sales orders up to 5x faster using an AI-powered credit management assistant.
Raising the stakes for agentic AI
Several sessions will focus on orchestrating AI agents. The shift from AIS advisor to AI-AS-actor changes everything, says Rinke.
“An agent needs to understand not only what you do, but how your specific business works,” he explains. “Process intelligence provides those rails."
It quickly raises the stakes from recommendation to independent action. While agents can freely approve purchase orders, reorder shipments, or approve exceptions, bad context can mean catastrophically bad results at scale.
Cellosphere attendees will get to see how companies are using the Cellonics Orchestration Engine to connect people and systems, as well as AI agents. Effective orchestration is an important safeguard against the chaos of agents working at cross-purposes, duplicating actions, or letting important steps fall through the cracks.
Navigating price and supply chain shocks
The volatility in global trade isn’t just a headline — it’s an operational nightmare for how companies deploy AI, Rinke says.
The new rates trigger cascading effects across procurement, logistics and compliance. Each policy shift can ripple through thousands of SKOs – forcing new supplier contracts, farm-outs and balancing inventories. For an AI system trained on static conditions, that volatility is nearly impossible to predict. Traditional AI systems struggle with such variability—but process intelligence gives organizations real-time visibility into how tasks change.
Cellosphere case studies will show how companies turn disruption into advantage. Smurfit Westrock uses PI to optimize inventory and reduce costs during tariff uncertainty, while ASOS leverages PI to improve its supply chain operations, increase efficiency, reduce costs and continue to deliver an outstanding customer experience.
Platform over point solution
Rinke argued that Celonus’ edge lies in its treatment of process intelligence not as an add-on, but as the foundation of the enterprise stack. Unlike bolt-on optimization tools, the Selonis platform creates a living digital twin of business operations.
“What sets Salonis apart is the visibility into system and offline tasks, which is critical for truly intelligent automation,” says Rinke. “The platform offers comprehensive capabilities spanning process analysis, design and orchestration rather than a single point solution.”
“Free the process” and the future of AI
Salonis champions openness through its “Free Process” movement, promoting fair competition and freeing businesses from legacy lock-in. By giving organizations full access to their own process data, open APIs, and a growing partner network that includes Hackett Group, Clarips, and Lobster, Selonis is building the connective tissue for a new era of interoperable automation.
For Rinke, this open foundation is what transforms 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, in turn, drives even more understanding.” There is no AI without PI."
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