Let's do the wrong stuff faster.

One of the biggest misconceptions about artificial intelligence is that it can fix a poorly run business. It can’t. What it can do is make an existing process happen faster. The problem is that if the process was inefficient, inconsistent, or simply wrong to begin with, AI will often help you make those mistakes more efficiently.

We’re seeing this more often as organizations rush to “do something with AI.” A new employee is hired and immediately asked to build AI tools around processes that were never documented, measured, or improved in the first place. Instead of solving the underlying problem, they’re asked to automate it. That’s like paving a winding dirt road before deciding where the road should actually go.

AI is not a panacea. It won’t create accountability where none exists. It won’t eliminate unnecessary approvals. It won’t resolve conflicting responsibilities between departments. It won’t magically produce good data from bad inputs. Many AI tools can identify bottlenecks or recommend improvements, but they can’t replace the hard work of deciding how your business should operate.

The organizations seeing the greatest value from AI usually didn’t start with the technology. They started by asking better questions. What are we trying to accomplish? Where are we wasting time? Which steps add value, and which exist only because “that’s how we’ve always done it?” Once those answers are clear, AI becomes a powerful accelerator. Think of AI as a multiplier. If you multiply a strong process, you often get faster execution, better consistency, and happier employees. If you multiply a broken process, you simply create bigger problems at a higher speed.

Before asking where AI fits into your organization, take an honest look at the work itself. Simplify it. Document it. Measure it. Remove the unnecessary steps. Then ask where AI can help.