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Presented by Celonis<\/i><\/p>\n
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AI adoption is accelerating, but results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from the AI solutions \u2014 especially as the use of autonomous agents rises and global tariffs disrupt supply chains.<\/p>\n
The issue isn\u2019t the AI itself, says Alex Rinke, co-founder and co-CEO of Celonis, a global leader in process intelligence. \u201cTo succeed, enterprise AI needs to understand the context of a business\u2019s processes \u2014 and how to improve them,\u201d he explains. Without this business context, AI risks becoming, as Rinke puts it, \u201cjust an internal social experiment.\u201d<\/p>\n
Next week\u2019s Celosphere 2025 will tackle the AI ROI challenge head-on. The three-day event brings together customer strategies, hands-on workshops, and live demonstrations, highlighting enhancements to the Celonis Process Intelligence (PI) Platform that help enterprises harness \u2018enterprise AI,\u2019 powered by PI, to continuously improve operations, creating measurable business value at scale.<\/p>\n
The event\u2019s focus on achieving AI ROI reflects three challenges facing technology and business leaders moving from pilot to production: obsolete systems, break-neck industry change, and agentic AI. According to Gartner, 64% of board members now view AI as a top-three priority \u2014 yet only 10% of organizations report meaningful financial returns.<\/p>\n
Celonis customers are bucking that trend. A Forrester Total Economic Impact study found organizations using its platform achieved 383% ROI over three years, with payback in just six months. One company improved sales order automation from 33% to 86%, saving $24.5 million. The study estimated $44.1 million in total benefits over three years, driven by faster automation, reduced inefficiencies, and higher process visibility. These numbers underscore a broader pattern \u2014 companies that modernize outdated systems and align AI with process optimization see faster payback and sustained gains.<\/p>\n
Celosphere will spotlight how global enterprises are building \u201cfuture-fit\u201d operations. Mercedes-Benz Group AG and Vinmar Group will showcase AI-driven, composable solutions, powered by PI, and attendees will see demonstrations of PI enabling agents in live production environments.<\/p>\n
Among the notable success stories: <\/b><\/p>\n
AstraZeneca, the pharmaceutical company, reduced excess inventory while keeping critical medicines flowing by using Celonis as a foundation for its OpenAI partnership.<\/p>\n
The State of Oklahoma can answer procurement status questions at scale, unlocking over $10 million in value. <\/p>\n
Cosentino clears blocked sales orders up to 5x faster using an AI-powered credit management assistant. <\/p>\n
Numerous sessions will focus on orchestrating AI agents. The shift from AI-as-advisor to AI-as-actor, changes everything, says Rinke. <\/p>\n
\u201cThe agent needs to understand not just what to do, but how your specific business actually works,\u201d he explains. \u201cProcess intelligence provides those rails." <\/p>\n
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.<\/p>\n
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. <\/p>\n
Global trade volatility isn't just a headline \u2014 it's an operational nightmare reshaping how companies deploy AI, Rinke says. <\/p>\n
New tariffs trigger cascading effects across procurement, logistics, and compliance. Each policy shift can cascade across thousands of SKUs \u2014 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 \u2014 but process intelligence gives organizations real-time visibility into how changes ripple through operations.<\/p>\n
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.<\/p>\n
Rinke argues that Celonis\u2019 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 \u2014 a continuously updated model enriched by context that lets AI operate effectively from analysis to execution.<\/p>\n
\u201cWhat sets Celonis apart is visibility across systems and offline tasks, which is critical for true intelligent automation,\u201d Rinke says. \u201cThe platform offers comprehensive capabilities spanning process analysis, design, and orchestration rather than a point solution.\u201d<\/p>\n
Celonis continues to champion openness through its \u201cFree the Process\u201d 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.<\/p>\n
For Rinke, this open foundation is what turns AI from a set of experiments into an enterprise engine. \u201cProcess intelligence creates a flywheel,\u201d he says. \u201cBetter understanding leads to better optimization, which enables better AI \u2014 and that, in turn, drives even greater understanding. There is no AI without PI."<\/p>\n
Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they\u2019re always clearly marked. For more information, contact <\/i>sales@venturebeat.com<\/u><\/i>.<\/i><\/p>\n