In the age of AI, every company needs to start thinking more like a technology company.

This might make you bristle, but stay with me here. If you run an industrial business, or a logistics company, or a professional services firm, you probably don’t think of yourself as a technology company. You’re a service business, or a people business, or a relationship business. You’re not a technology business.

Of course, you use technology. You probably have an ERP system and a CRM and a dashboard and a website and maybe even a few internal tools that someone built years ago. But technology is not the thing you sell. It’s not your differentiator. And it’s certainly not how you would describe the business. Sure, technology is important, but it sits underneath the business, helping the work get done. It’s not the business itself.

For a long time, that was a perfectly reasonable way to think.

I’m not so sure anymore.

The Boundary Is Starting to Blur

Thinking like a technology company doesn’t mean pretending you’re a SaaS business. It doesn’t mean you should expect 70% margins or that you’ll become hyper-scalable overnight. It simply means you’re giving yourself permission to ask a different set of questions.

A service business tends to ask: who has capacity for this? What process do we already have? Which vendor should we call? Can someone make a spreadsheet? Can we train the team to be a little more efficient?

A technology company tends to ask: can this become a product? Can this process become a system? Can we build a tool for this? Can the data created by this interaction make the next interaction better? Can we make this repeatable instead of solving it from scratch each time?

Those questions used to belong mostly to companies with engineers, product managers, and software budgets. But that’s just not the case anymore.

The Ladder Makes the Shift Visible

When you think of yourself as a technology company, you start to see why the Eight Levels of AI Adoption framework from Every is useful. It gives leaders a way to see AI adoption as a progression, not a yes-or-no question:

• Level 1: Chatbot. You ask a question and get an answer.

• Level 2: Copilot. AI works alongside you, often inside the tools and files where the work already happens.

• Level 3: Agent. AI executes a task step by step, with human approval along the way.

• Level 4: Autopilot. AI runs more independently, with people reviewing the result.

• Level 5: Workflow. AI becomes part of a designed system that makes the output more reliable and repeatable.

• Level 6: Assistant. AI works in the background without being prompted every time.

• Level 7: Multi-agent. Several agents handle long-running work at once.

• Level 8: Orchestrator. A manager agent coordinates a team of sub-agents on your behalf.

Not every organization is going to get to Level 8, and not every organization should. Moving higher up the ladder is not necessarily better. What matters is that you understand there is a ladder. When you start thinking more like a technology company, you can place yourself on that ladder, which you probably wouldn't if you were operating from a different point of view.

Many companies are still at Level 1. That’s not necessarily bad because chatbots are useful. But if every AI interaction ends when the chat ends, the organization has not necessarily learned anything.

When you start thinking like a technology company, you stop asking how one person can use AI and instead ask how work in your organization can change now that AI exists.

The Real Move Is Work Design

Not every company needs to race toward agent orchestration. In fact, many companies probably shouldn’t. There are cost, risk, governance, security, and change-management questions everywhere. But every company should understand that there are new ways to design work that were not practical before.

Thinking like a technology company means thinking about how your organization becomes more queryable, more closed loop, and more capable of learning from the work itself. The organizations that benefit most from AI are not the ones that simply give everyone access to ChatGPT and hope something good happens. They’re the ones that start to see their work as something that can be structured, queried, improved, and eventually scaled.

They’re the ones that stop treating technology as something underneath the business and start seeing it as part of how the business learns.