When embarking on any business improvement or process automation journey, one thing that needs to-be at the forefront is process mapping.
Operational excellence in 2026 is evolving. So is the way organisations achieve it. For years, BPM teams have relied on disciplined, manual approaches to drive improvement.
Digital transformation has become a priority across supply chains and operations worldwide. Yet many digital initiatives struggle to scale, stall after launch, or fail to deliver real value.
AI in process improvement is no longer a side experiment. It is becoming the engine that determines how fast organisations can understand, improve, and scale their operations.
Business Process Management in the United States is undergoing its most profound transformation in decades. What was once a discipline focused on documenting workflows and removing inefficiencies is rapidly becoming a strategic engine for enterprise decision-making, resilience, and growth.
The organisations moving ahead are not the ones with the most polished AI strategies. They are the ones who simply started. They tried, learned, adjusted, and built confidence along the way. AI in BPM does not fail because of technology. It slows down because people hesitate. That is why AI adoption in Business Process Management is a leadership issue before it is a technical one.
