What Lean leaders understand about turning artificial intelligence into real business results

Every July, National AI Appreciation Day celebrates one of the most transformative technologies of our time. Artificial intelligence has rapidly moved from research labs into our daily lives, helping us write, analyze, communicate, and automate work in ways that seemed unimaginable only a few years ago. Organizations across every industry are investing heavily in AI with the hope of increasing productivity, improving customer experiences, and gaining a competitive advantage.

Yet as AI adoption accelerates, many organizations are discovering that implementing the technology is the easy part. Realizing meaningful business value is much harder. The biggest obstacle isn’t choosing the right platform or writing the perfect prompt—it’s preparing the organization to use AI effectively. That’s where Lean thinking provides an advantage. Long before artificial intelligence entered the workplace, Lean organizations learned that lasting improvement comes not from technology alone, but from strong leadership, disciplined processes, and a relentless focus on creating value.

AI Doesn’t Fix Broken Processes

Throughout history, organizations have looked to new technologies to solve old problems. Enterprise resource planning systems promised complete visibility into operations. Business intelligence tools promised better decisions through better data. Automation promised dramatic productivity gains. Each innovation delivered tremendous benefits, but only for organizations that were prepared to use it well.

Artificial intelligence is no different. It is an incredibly powerful tool, but it is not a substitute for good management. If a process is poorly designed, inconsistent, or filled with unnecessary steps, AI won’t fix it. In many cases, it simply allows the organization to execute a flawed process faster. As Lean practitioners often say, don’t automate waste—eliminate it first.

Consider an approval process that requires multiple handoffs, duplicate data entry, and unnecessary reviews. AI may reduce the administrative burden of routing documents or summarizing information, but it doesn’t address the underlying problem. The real opportunity lies in simplifying the process before introducing technology. AI should accelerate improvement, not become a shortcut around it.

This principle has guided Lean organizations for decades. Before investing in automation, they first ask whether each step creates value for the customer. If it doesn’t, the goal is to eliminate the waste—not automate it. That same thinking is just as relevant in the age of artificial intelligence.

Lean Provides the Foundation AI Needs

Much of the excitement surrounding AI focuses on what the technology can do. Equally important, however, is understanding what AI needs from the organization to perform well. Artificial intelligence thrives in environments where work is standardized, data is reliable, and problems are clearly defined. Interestingly, those are the same conditions that Lean organizations have been working to create for years.

Standardized work provides consistency in how tasks are performed. Reliable data ensures that decisions are based on facts rather than assumptions. Clear problem definition prevents teams from solving symptoms instead of root causes. Without these fundamentals, AI can produce inconsistent recommendations, reinforce poor practices, or simply create more confusion.

This is why the Lean principle of “go and see” remains so important. Leaders must understand the work before they can improve it. AI can analyze enormous amounts of information, identify patterns, and generate insights in seconds, but it cannot determine whether the information it’s analyzing reflects reality. That’s still the responsibility of leaders and subject matter experts who understand the process.

The old saying, “garbage in, garbage out,” hasn’t lost its relevance. If organizations feed AI incomplete, inaccurate, or inconsistent information, they shouldn’t be surprised when the output falls short. The quality of the technology is often limited by the quality of the management system supporting it.

Leadership Matters More Than Ever

One of the more common concerns surrounding AI is that it will replace people. While AI will certainly change many jobs, its greatest impact may actually be changing the work of leaders.

As AI assumes more routine and repetitive tasks, leaders have an opportunity to spend less time producing reports and more time developing people. They can focus on coaching teams, removing barriers, facilitating problem solving, and strengthening collaboration across the organization. These are responsibilities that technology cannot replace because they depend on judgment, empathy, trust, and experience.

This aligns perfectly with one of Lean’s foundational principles: respect for people. Respect isn’t simply about being nice or creating a pleasant workplace. It means believing that every employee has the ability to learn, improve, and contribute to solving problems. The role of a leader is to develop that capability, not replace it.

Artificial intelligence can suggest ideas, summarize information, and accelerate analysis. It cannot build trust within a team, navigate difficult conversations, or inspire people around a shared purpose. Those remain uniquely human responsibilities, and they become even more important as technology continues to evolve.

Practical Ways Lean Leaders Can Use AI Today

For many leaders, the question isn’t whether AI will become part of their organization—it’s where to begin. The good news is that meaningful results don’t require a massive transformation project. Some of the best applications simply remove low-value work so leaders and teams can spend more time on activities that create value.

One practical use is improving communication. AI can draft meeting summaries, project updates, or executive reports, allowing leaders to spend less time staring at a blank page and more time refining the message for their audience. Similarly, AI can help organize standard operating procedures, create training materials, or generate discussion questions that support knowledge sharing across the organization.

AI can also enhance continuous improvement efforts by quickly identifying patterns in customer complaints, quality data, or corrective actions. Rather than replacing root cause analysis, it gives improvement teams a faster starting point for asking better questions. During Kaizen events or brainstorming sessions, AI can suggest alternative ideas or challenge assumptions that teams may overlook.

Perhaps the greatest opportunity is using AI as a personal productivity tool. Leaders spend a significant portion of their day searching for information, summarizing documents, preparing presentations, and responding to routine requests. By reducing the time spent on these administrative activities, AI creates more opportunities to be present at the gemba, coach employees, and engage directly in problem solving. That’s where leaders create the greatest value.

Technology Changes. Leadership Endures.

National AI Appreciation Day is an opportunity to recognize the incredible potential of artificial intelligence and the opportunities it creates for organizations willing to embrace it. There is little doubt that AI will continue to reshape how we work, learn, and solve problems over the coming years.

But amid all the excitement, it’s worth remembering that technology has never been the true source of competitive advantage. Organizations succeed because of their people, their leadership, and their ability to continuously improve. AI can amplify those strengths, but it cannot create them.

Lean has always taught that sustainable improvement begins with understanding the work, developing people, and solving problems at their root cause. Those principles were true before AI, they remain true today, and they will continue to guide successful organizations long into the future.

As you celebrate National AI Appreciation Day, don’t just ask how artificial intelligence can make your organization faster. Ask how your leadership can make your organization better. When Lean principles provide the foundation, AI becomes far more than another technology investment—it becomes a powerful accelerator of continuous improvement.

After all, AI won’t create a culture of continuous improvement. But organizations with a culture of continuous improvement will unlock the full potential of AI.