Over the last year, I've had more conversations about AI than any other topic. CEOs are talking about it. Boards are talking about it. Investors are talking about it. Every software vendor seems to be adding AI capabilities to their platform, and every company is trying to figure out where AI fits into their business. In many ways, it feels similar to the early days of cloud computing when organizations knew the technology was important but weren't entirely sure how to apply it.
What's interesting is that most leaders start with the same question: "How can we use AI?" While that sounds reasonable on the surface, I think it's often the wrong place to start. A better question is whether the business is actually ready for AI in the first place. The answer is more important than most people realize because AI is not a magic solution to operational problems. In many cases, it simply amplifies whatever already exists.
Think about a sales organization with poor CRM discipline. Opportunities aren't updated consistently. Forecasts are based on gut feel instead of process. Different salespeople use different definitions for the same pipeline stages. Leadership doesn't fully trust the data. If you layer AI forecasting on top of that environment, does the forecast suddenly become accurate? Of course not. The AI is still dependent on the same flawed inputs. The forecasting problem wasn't really a forecasting problem at all. It was a process problem.
I've seen the same thing happen in operations. A company wants to automate a workflow because it feels inefficient, but nobody can clearly explain how the workflow actually works today. Different employees follow different processes. Information lives in multiple systems. Exceptions are handled differently depending on who is involved. Then leadership decides to automate it. Instead of creating efficiency, they automate confusion. The technology gets blamed even though the real issue existed long before the technology arrived.
The technology isn't the problem.
The process is.
I think this is where many organizations get AI wrong. They view it as a starting point rather than an acceleration layer. The companies seeing the biggest returns from AI generally have a few things in common. Their processes are relatively mature. Their data is reasonably clean. Their teams operate consistently. Leadership has visibility into what is happening inside the business. When AI is introduced, it improves an already functional system.
The organizations that struggle with AI adoption often have the opposite characteristics. Processes are poorly defined. Data quality is inconsistent. Visibility is limited. Employees spend significant time gathering information, reconciling data, and manually moving work between systems. In those environments, AI rarely delivers the transformational outcome leaders are hoping for because the operational foundation was never in place to support it.
This doesn't mean companies should wait years before exploring AI. Quite the opposite. Every leadership team should be learning, experimenting, and identifying opportunities. However, those conversations should occur alongside a hard look at the underlying business processes. If a process is broken today, AI won't fix it. If a process is unclear today, AI won't clarify it. If nobody trusts the data today, AI won't suddenly make it trustworthy.
What AI can do is accelerate organizations that already have operational discipline. It can eliminate administrative work. It can surface insights faster than humans. It can identify patterns, summarize information, and help leaders make better decisions. The key is understanding that these outcomes depend on the quality of the underlying system. AI doesn't create operational excellence. It amplifies it.
That's why I believe many companies don't need AI yet. What they need is visibility. They need process maturity. They need reliable data. They need a clear understanding of how work moves through their organization. Once those things are in place, AI becomes incredibly powerful because it has a solid foundation to build upon.
AI will absolutely transform how businesses operate over the next decade. I don't think there's much debate about that anymore. The companies that benefit the most, however, won't necessarily be the ones that adopt AI first. They'll be the ones that put themselves in a position to use it effectively.
For many organizations, the next step isn't AI.
It's getting their house in order first.