The integration of artificial intelligence (AI) into data evaluation processes is crucial for business process automation. This presentation focuses on the utilization of process mining, process orchestration, and lifecycle management to optimize and automate AI-enhanced workflows. Process mining techniques allow for the in-depth analysis of operational data, identifying inefficiencies and modeling how processes can be improved. Process orchestration facilitates the seamless integration of these insights with AI-driven automation, ensuring that each step is aligned and efficient. Meanwhile, lifecycle management of processes ensures that improvements are sustainable and adaptable over time. Together, these methodologies form a comprehensive framework that leverages AI to not only automate but also intelligently adapt business processes, significantly boosting organizational efficiency and effectiveness. In this presentation you will learn:

• How can process mining techniques identify inefficiencies in operational data for improved AI-enhanced workflows?
• In what ways does process orchestration integrate insights with AI-driven automation to ensure efficient business processes?
• How does lifecycle management contribute to the sustainability and adaptability of AI-optimized business processes over time?