Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Frank Vega, CEO and founder The Efficiency Group
For decades, process improvement was the domain of Lean Six Sigma black and green belt specialists, operations analysts, and consultants armed with spreadsheets and sticky notes. In 2026, that changes.
AI is having its moment, and like every industry, process improvement will be impacted, and for the better. In 2026, we expect that AI will continue to democratize process improvement, placing analytical power in the hands of the people who do the work.
From Specialists to Everyone
AI’s most important contribution next year won’t be smarter automation or faster reports. Those are great too and will continue to make an impact. However, instead, it will be accessibility.
Gen AI tools are making it possible for small and medium-sized businesses to examine, map, and optimize their processes without the cost or complexity that used to be barriers.
Think of an operations manager at a 50-person manufacturing firm or a healthcare clinical director with limited technical support. Instead of scheduling a months-long analysis project, they can now upload a handful of documents, emails, or data exports, and AI will visualize the current workflow, identify inefficiencies, and suggest alternatives.
What used to take weeks of manual documentation now happens in minutes. The insight gap between small organizations and enterprise players begins to close.
Seeing Change Before It Happens
One of the biggest hurdles in any improvement initiative has always been change management. People resist what they can’t see. In 2026, that excuse starts to fade. Gen AI tools capable of producing realistic simulations and short videos will let teams “preview” the impact of process changes before implementing them.
Imagine showing employees a side-by-side flowchart — one version of their day under the current process, and another with a proposed improvement? The difference will be no longer buried in mounds of paperwork and charts. Instead, it is visible, concrete, and real. This ability to visualize change will make it easier for people to engage, ask better questions, and see improvement as something happening with them, not to them.
Doing More With Less
As AI models evolve, their reasoning capabilities will also start to look more human. They can infer intent, consider trade-offs, and recognize constraints that don’t appear in data tables. They can recognize budget limits, staffing shortages, environmental goals.
Process improvement tools in 2026 will use these more humanistic reasoning models to help organizations leverage fewer resources for greater sustainability. Rather than focusing solely on cost savings, AI will recommend ways to reduce energy consumption, minimize waste, or repurpose existing assets. The question shifts from “How do we do this faster?” to “How do we do this smarter and more responsibly?”
In a year when many industries face both labor shortages and pressure to meet sustainability targets, that shift in reasoning will redefine what “efficient” means. Efficiency won’t just be about speed – it will be about resilience.
The Culture Problem
For all the optimism around AI, the hardest challenge in 2026 will be acceptance. While AI adoption for process improvement will surge, true buy-in from employees and managers might still lag.
Cultural resistance runs deep. Many people still associate “process improvement” with job cuts or rigid procedures. Overcoming that perception will require transparency and trust: showing employees how AI helps them focus on higher-value work rather than replacing them. Leaders who treat AI as a partner in problem-solving will move faster and retain talent longer.
Looking Ahead
2026 will be remembered as the year process improvement stopped being a back-office discipline and started becoming an everyday habit. AI won’t eliminate the need for human judgment or teamwork – it will amplify both.
The promise of AI in process improvement is about participation. When everyone can see, understand, and shape better ways of working, the real transformation begins.
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ABOUT THE AUTHOR
Frank Vega, Founder and CEO at The Efficiency Group
Frank Vega is the founder and CEO of The Efficiency Group, a process-improvement firm using Gen AI to create BPMN models in minutes. Under his leadership, TEG has supported organizations across healthcare, government, supply chain, finance, and manufacturing, including initiatives with the National Institutes of Health, the Department of Energy, the Department of Defense, and General Dynamics IT. Frank’s work centers on making Lean Six Sigma and continuous improvement accessible to non-experts, enabling faster kaizen cycles, cleaner documentation, and measurable gains in throughput, quality, and cost. He frequently speaks on the practical use of AI in process mapping and on building a culture of improvement that scales beyond specialist teams.
