The Future of AI in Process Intelligence
Tue Feb 03 2026
In this episode of the Targeting AI podcast from AI Business, Manuel Haug, of Germany-based process mining vendor Celonis, discusses the intricacies of process mining and its integration with AI technologies. He explains how Celonis differentiates itself in the market, the evolution of its strategy in light of generative AI, and the practical applications of AI agents in various industries. Haug emphasizes the importance of operationalizing process mining findings and preparing for the future of work as the workforce ages. He also touches on the complementary nature of AI and traditional automation methods, such as RPA, and the need to capture organizational knowledge before it is lost.
Featuring: Manuel Haug, field CTO of Celonis
In this episode, we cover how:
Process mining connects to various IT systems to analyze business processes.
AI can improve and automate manual processes in companies.
AI agents can assist human teams in decision-making.
Operationalizing findings from process mining is crucial for improvement.
The aging workforce necessitates capturing knowledge effectively.
RPA and AI can coexist and complement each other in automation.
Understanding processes is foundational for effective AI implementation.
AI technology is becoming more reliable and powerful.
The future of work will involve a blend of AI and human oversight.
To learn more about generative and agentic AI and RPA, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
5 Benefits of Using Process Mining
Process Mining Software Comparison: What CIOs Should Look at
Top Enterprise Process Mining Challenges, Ways to Solve Them
More
In this episode of the Targeting AI podcast from AI Business, Manuel Haug, of Germany-based process mining vendor Celonis, discusses the intricacies of process mining and its integration with AI technologies. He explains how Celonis differentiates itself in the market, the evolution of its strategy in light of generative AI, and the practical applications of AI agents in various industries. Haug emphasizes the importance of operationalizing process mining findings and preparing for the future of work as the workforce ages. He also touches on the complementary nature of AI and traditional automation methods, such as RPA, and the need to capture organizational knowledge before it is lost. Featuring: Manuel Haug, field CTO of Celonis In this episode, we cover how: Process mining connects to various IT systems to analyze business processes. AI can improve and automate manual processes in companies. AI agents can assist human teams in decision-making. Operationalizing findings from process mining is crucial for improvement. The aging workforce necessitates capturing knowledge effectively. RPA and AI can coexist and complement each other in automation. Understanding processes is foundational for effective AI implementation. AI technology is becoming more reliable and powerful. The future of work will involve a blend of AI and human oversight. To learn more about generative and agentic AI and RPA, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news. To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech. References: 5 Benefits of Using Process Mining Process Mining Software Comparison: What CIOs Should Look at Top Enterprise Process Mining Challenges, Ways to Solve Them