Stop Asking "What AI Tool Should I Buy?"

Every week, we talk to business leaders who want to discuss AI. The conversation usually starts the same way.

"What tools should we be looking at?"

It's a reasonable question. It's also usually the wrong one.

Imagine a manufacturing company saying: "What machine should we buy?" Before understanding what they're trying to produce.

Or a contractor asking: "What hammer should I use?" Before deciding what they're building.

Yet that's exactly how many organizations approach AI. They start with technology. Not outcomes.

Why This Matters

The AI market is moving fast. New tools appear every week. Vendors promise productivity gains, cost savings, automation, and transformation. Business leaders are under pressure to act.

The result? Companies buy software before they have a clear understanding of what problem they're solving.

Six months later, adoption is low. Usage is inconsistent. ROI is difficult to measure. Leadership starts wondering whether AI was worth the investment at all. The problem wasn't the technology. The problem was the starting point.

Start With Friction

Instead of looking for AI tools, look for business friction.

Ask questions like:

• Where are employees wasting time?
• What repetitive tasks occur every day?
• What information is difficult to find?
• Where are customers experiencing delays?
• What processes create frustration?

These are the places where technology can create meaningful impact.

The Simple Framework

When evaluating any AI opportunity, follow four steps.

1 - Identify the Problem

Clearly define the challenge. Don't settle for vague statements like "we need AI." Describe the actual business issue.

2 - Measure the Cost

How much time, money, or opportunity is being lost? If the problem isn't costly, it probably isn't a priority.

3 - Evaluate Solutions

Only now should technology enter the discussion.

• Maybe the answer is AI.
• Maybe it's automation.
• Maybe it's process redesign.
• Maybe it's better training.

4 - Measure Outcomes

Success should be measured by business results.

Not by how many licenses were purchased.

The Real Opportunity

The companies winning with AI aren't necessarily the ones using the newest tools. They're the ones solving the right problems. Technology changes constantly. Business fundamentals don't. Focus on reducing friction. Focus on improving operations. Focus on creating value.

Then choose the technology that helps you get there.

Not the other way around.