As organizations accelerate their digital transformation efforts, the role of Business Process Management (BPM) continues to evolve. Advances in AI, automation, and data-driven execution are fundamentally changing how processes are designed, managed, and governed. To remain competitive, organizations must rethink the skills required to translate strategy into scalable, value-driven execution.
In a recent industry survey on BPM skills for 2026, leading practitioners shared their perspectives on how BPM must adapt to support increasingly automated and AI-enabled enterprises. The insights highlight a shift from traditional process design toward performance management, governance, and process-led digital transformation.
According to Dr. Mathias Kirchmer, BPM practitioners must focus on integrating process, data, and AI governance, prioritizing high-impact processes, and leveraging assets such as process reference models and digital twins. These capabilities enable organizations to manage highly automated processes with transparency, control, and agility—turning BPM into a critical management discipline for the digital age.
By developing these future-focused BPM skills, organizations can better realize the value of AI, improve end-to-end performance, and sustain transformation at scale.
