How a Window Cleaning Business Owner Turned AI Into His Management Team

When most people talk about making money with AI, they imagine software startups, developers, or people building the next big AI application.

Kyle Ray took a different approach.

He runs a window-cleaning business in Texas.

No AI startup.

No large technology team.

No army of engineers.

Just a traditional service business — and an increasing amount of AI behind the scenes.

From a Traditional Business to an AI-Assisted Operation

Ray had already spent years building his company before AI became a major part of his workflow.

In 2024, the business generated six-figure revenue. By 2025, it was on track to surpass $1 million in annual revenue.

But instead of simply using AI to write emails or generate social media posts, Ray began incorporating tools such as ChatGPT and Claude into the management side of the business.

AI became useful for tasks that would traditionally require additional administrative or analytical support.

Financial analysis.

Preparing questions for his accountant.

Exploring tax-related ideas.

Analyzing business information.

Thinking through management decisions.

The goal wasn't to replace every human involved in the company.

It was to give one business owner access to capabilities that would normally require considerably more time, money, or personnel.

The $40 Question

One of the most interesting aspects of Ray's approach is its economics.

Hiring an entire executive team isn't realistic for many small businesses.

But using AI tools can cost only a fraction of that.

Ray has described AI as becoming part of his company's leadership infrastructure — effectively giving him an always-available assistant for analysis and decision-making.

There is an important distinction, however.

AI doesn't make the final decisions.

For example, Ray still relies on his CPA for final tax decisions.

AI helps him prepare, analyze, question, and understand.

The human remains responsible for the decision.

Why This Story Matters

Ray's story is interesting precisely because he wasn't trying to build an AI company.

He took an existing business and asked a much simpler question:

What parts of running this business can AI help me do better?

That shift may be more important than another AI startup.

Small businesses represent an enormous part of the economy, and many of them don't have the resources to hire specialized analysts, executives, or large administrative teams.

AI changes that equation.

A business owner with a laptop and a few AI subscriptions can now access capabilities that were previously much harder to obtain.

Not perfectly.

Not autonomously.

But increasingly usefully.

AI Isn't the Business. It's the Leverage.

The lesson from Ray's experience isn't that every entrepreneur should replace employees with AI.

It's something more practical:

You don't necessarily need to build an AI company to benefit from AI.

You can take an ordinary business — cleaning windows, running a restaurant, selling products, managing properties — and look for the repetitive, analytical, or information-heavy parts of the operation where AI can create leverage.

That's where the real opportunity may be.

The biggest AI businesses of the future may not all look like AI companies.

Some may look completely ordinary from the outside.

The difference will be what happens behind the scenes.

Source: Business Insider