Sponsored by Celonis
While the pace of AI integration in enterprises is rapidly increasing, the anticipated benefits often fall short of expectations. Business leaders face mounting pressure to demonstrate clear, quantifiable returns on investment (ROI) from AI initiatives, especially as autonomous agents become more prevalent and global trade disruptions complicate supply chains.
Why Contextual Understanding is Crucial for Enterprise AI Success
According to Alex Rinke, co-founder and co-CEO of Celonis, a pioneer in process intelligence, the challenge isn’t the AI technology itself but its lack of alignment with the specific business processes it aims to enhance. “For AI to deliver real value, it must grasp the unique context of an organization’s workflows and identify opportunities for improvement,” Rinke emphasizes. Without this critical business insight, AI risks becoming little more than an internal experiment with limited impact.
Addressing the AI ROI Gap: Insights from Industry Leaders
Upcoming industry events will directly confront the challenge of translating AI investments into measurable business outcomes. Over three days, these gatherings will feature customer success stories, interactive workshops, and live demonstrations showcasing advancements in the Celonis Process Intelligence (PI) Platform. This platform empowers enterprises to leverage ‘enterprise AI’-AI deeply integrated with process intelligence-to drive continuous operational improvements and generate scalable value.
Overcoming Barriers to AI ROI
Technology and business executives often grapple with three major obstacles when scaling AI from pilot projects to full deployment: outdated legacy systems, rapid industry evolution, and the rise of autonomous AI agents. Recent surveys reveal that while 64% of board members rank AI among their top three strategic priorities, only about 10% of organizations report significant financial gains from their AI efforts.
However, Celonis clients are defying this trend. A comprehensive analysis found that companies utilizing the Celonis platform realized an average ROI of 383% over three years, with payback periods as short as six months. For example, one enterprise boosted its sales order automation rate from 33% to 86%, resulting in $24.5 million in savings. Overall, the study projected $44.1 million in benefits over three years, driven by accelerated automation, minimized inefficiencies, and enhanced process transparency. These findings highlight a clear pattern: organizations that modernize their infrastructure and align AI with process optimization achieve faster and more sustainable returns.
Showcasing Tangible Success: Real-World Enterprise Applications
Events like Celosphere will highlight how multinational corporations are crafting “future-ready” operations through AI-powered, composable solutions built on the PI platform. Industry leaders such as Mercedes-Benz Group AG and Vinmar Group will share their journeys, while live demos will illustrate how PI supports AI agents operating in real-time production settings.
Noteworthy Case Studies
- A leading pharmaceutical firm leveraged Celonis as the backbone for its collaboration with OpenAI, successfully reducing surplus inventory while ensuring uninterrupted supply of essential medications.
- A global procurement organization deployed AI-driven analytics to answer procurement status inquiries at scale, unlocking over $10 million in value.
- A major retailer accelerated the resolution of blocked sales orders by up to five times using an AI-enhanced credit management assistant.
The Rising Importance of Autonomous AI Agents
Several sessions will delve into the orchestration of AI agents, marking a shift from AI as a mere advisor to AI as an autonomous actor. Rinke notes, “For AI agents to act effectively, they must not only know what actions to take but also understand the intricacies of your specific business processes.” Process intelligence provides the essential framework that guides these agents.
This transition from recommendations to independent decision-making significantly raises the stakes. Autonomous agents capable of initiating purchase orders, rerouting logistics, or approving exceptions without human intervention require precise contextual awareness to avoid costly errors at scale.
Attendees will witness firsthand how the Celonis Orchestration Engine harmonizes AI agents with human workflows and existing systems. Proper orchestration is vital to prevent conflicting actions, redundant efforts, or overlooked critical steps, ensuring smooth and reliable operations.
Adapting AI to Navigate Supply Chain Volatility and Tariffs
Global trade instability is more than a news topic-it’s a complex operational challenge reshaping AI deployment strategies. New tariffs and trade policies create ripple effects across procurement, logistics, and compliance, impacting thousands of stock-keeping units (SKUs). These shifts necessitate renegotiated supplier contracts, rerouted shipments, and inventory rebalancing.
Traditional AI models, often trained on static data, struggle to adapt to such dynamic environments. In contrast, process intelligence offers real-time visibility into how these changes propagate through business operations, enabling more agile and informed decision-making.
Case studies at Celosphere will demonstrate how companies turn disruption into competitive advantage. For instance, Smurfit Westrock uses PI to optimize inventory management and reduce costs amid tariff uncertainties, while ASOS employs PI to streamline its supply chain, enhancing efficiency and maintaining superior customer service.
Why a Unified Platform Outperforms Point Solutions
Rinke asserts that Celonis’ competitive advantage lies in embedding process intelligence as the core of the enterprise technology stack rather than as an add-on. Unlike isolated optimization tools, the Celonis platform constructs a dynamic digital twin of business operations-a continuously refreshed model enriched with contextual data that enables AI to function effectively from analysis through execution.
“Celonis stands out by providing comprehensive visibility across both digital systems and offline activities, which is essential for genuine intelligent automation,” Rinke explains. “Our platform integrates capabilities for process analysis, design, and orchestration, offering a holistic solution rather than fragmented point products.”
“Free the Process”: Pioneering an Open and Interoperable AI Future
Celonis champions openness through its “Free the Process” initiative, advocating for fair competition and liberating enterprises from legacy system constraints. By granting organizations full access to their process data, open APIs, and a growing ecosystem of partners-including The Hackett Group, ClearOps, and Lobster-Celonis is laying the groundwork for a new era of interoperable automation.
For Rinke, this open architecture transforms AI from isolated experiments into a powerful enterprise engine. “Process intelligence creates a virtuous cycle,” he says. “Deeper insights lead to better optimization, which fuels more effective AI, driving even greater understanding. Without process intelligence, there is no true AI.”
