Inside Celosphere 2025: No Enterprise AI Without Process Intelligence

Why Is Process Intelligence Crucial for Enterprise AI Success?

AI adoption is rapidly increasing across various sectors. Yet, many organizations are not seeing the expected outcomes. The challenge isn't with AI technology itself but with the lack of understanding of business processes. Alex Rinke, co-founder and co-CEO of Celonis, emphasizes, "Enterprise AI must grasp the context of a business's processes to succeed." Without this understanding, AI initiatives risk becoming ineffective.

Celosphere 2025, happening next week, aims to address these challenges head-on. This event will bring together industry leaders for three days of customer strategy showcases, hands-on workshops, and live demonstrations. The focus? To empower enterprises to use the Celonis Process Intelligence (PI) Platform for scalable, measurable business improvements.

How Can Businesses Achieve AI ROI?

Achieving AI ROI is a critical focus at Celosphere 2025, addressing key challenges:

• Outdated Technologies: Many organizations are hindered by legacy systems.
• Rapid Industry Changes: Businesses must be agile and adaptable.
• Autonomous Agents: Understanding business processes is crucial for leveraging autonomous AI.

Despite the challenges, Celonis users are seeing significant returns. A Forrester study shows Celonis platform users achieving a 383% ROI over three years, with benefits including enhanced automation and increased process visibility.

What Success Looks Like: Real-World Examples

Celosphere 2025 will feature global companies like Mercedes-Benz Group AG and Vinmar Group, showcasing AI-driven solutions powered by PI. Success stories include:

• AstraZeneca: Reduced excess inventory while ensuring the supply of critical medicines.
• State of Oklahoma: Improved procurement efficiency, unlocking over $10 million in value.
• Cosentino: Increased the speed of clearing blocked sales orders using AI.

The Importance of AI Agents Understanding Business Processes

The event will explore the transition of AI from advisor to autonomous actor. Rinke explains the importance of AI agents understanding the specific workings of a business. This understanding is crucial for preventing operational mishaps when AI takes autonomous actions.

Adapting to Global Trade Volatility

Companies are adjusting their AI strategies in response to global trade changes. Process intelligence provides real-time insights, helping organizations navigate these challenges. Examples include Smurfit Westrock optimizing inventory amid tariff changes and ASOS enhancing supply chain efficiency.

The Celonis Approach: Process Intelligence as a Foundation

Celonis views process intelligence as essential, not just an add-on. This approach allows for a comprehensive understanding of business operations, enabling effective AI-driven analysis and execution. Rinke highlights the platform's visibility across systems as key to true intelligent automation.

Pioneering Openness in Process Intelligence

Celonis advocates for an open ecosystem through its "Free the Process" movement. This openness is paving the way for interoperable automation, transforming AI from experimental to a core enterprise driver. Rinke believes, "There is no AI without PI."

Conclusion

As Celosphere 2025 approaches, it's clear that process intelligence is fundamental to leveraging enterprise AI effectively. Organizations must prioritize understanding their processes to navigate business complexities and achieve sustainable growth. The future of enterprise AI is intricately linked with process intelligence, and the time to embrace this is now.