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:

• What specific challenges are encountered in integrating AI into intelligent automation workflows, and strategies to overcome them
• What proactive measures companies can implement to anticipate and adapt to regulatory changes in the context of AI-driven process automation
• How organizations can foster a culture of continuous improvement and innovation to maximize the benefits of AI-enhanced workflows