Celonis’ Successful Integration of AI into Business Processes: A Case Study

Celonis, a process mining expert company, takes pride in its ability to adapt quickly to the evolution of artificial intelligence (AI) and integrate it into processes. According to Fernando Ranz, VP and Country Manager for Iberia and Latin America, the ideal size of the company allows it to maneuver and react to new market innovations rapidly. The recent Celonis Day Madrid event brought together managers from various firms to facilitate conversations and collaborations between customers and companies.

The event served as a platform to break down barriers and taboos, enabling participants to identify tangible benefits and quantified impacts of AI on businesses. AI has become a critical focus for all companies, not just the technological sections, as it is essential to extract value from organizations. Celonis offers several tools that help achieve this goal, including the Process Intelligence Graph and IA CoPilot.

The Process Intelligence Graph creates standardized process data and models how companies operate by linking various elements and events. IA CoPilot provides users with ideas to streamline operations and make them more effective. These tools have proven to be very flexible, allowing the company to respond quickly to market innovations.

Celonis’ Madrid Hub serves as a leading work and training center in Europe, with almost 600 employees, 50% of whom are international workers, and 50% female employees. The company is committed to diversity and focuses on training employees and partners in process mining. Celonis works with over 1,500 organizations worldwide to help them form centers of excellence in process mining and offers certifications and training processes to ensure their clients get the most out of their services.

Overall, Celonis’ approach towards AI integration into processes has proven successful in helping companies extract value from their operations while maintaining flexibility in adapting quickly to market innovations.