Every software vendor seems to have an AI feature. Every business is being told it needs an AI strategy. And if you listen to enough marketing departments, it can sound like AI is the answer to just about every business problem.

It’s 2026. Businesses are being encouraged to adopt AI, add AI features, and develop an AI strategy. But before investing time and money into any new technology, there's a more important question to answer:

The same technology that can help businesses improve their cybersecurity can also give attackers new tools.

The key is understanding where AI can add value—and where traditional software is still the better tool.

If I were giving advice to someone just starting their career, here's what I'd tell them.

When people hear the word automation, they often worry about one thing: "Will this replace someone's job?"

No one wakes up one morning and discovers their database has suddenly become slow.

When people think about custom software, they often think about features: dashboards, reports, mobile apps, integrations, automation.

Every business has workarounds. At first, they seem harmless: “Just export it to Excel first.” “You have to refresh it twice.” “Only Sam knows how that part works.” Over time, these little adjustments become normal. That’s the problem.

If you’ve ever worked with a good software developer, you’ve probably noticed something: They ask a lot of questions.

No employee should be a single point of failure. Strong businesses build systems and processes that can survive turnover, growth, and change.

For a long time, technology decisions were treated as “IT problems.” Today, that’s no longer true.

Most software advice is written for developers. But the reality is this: successful software projects require a strong partnership. The client plays just as big a role as the development team.

Double data entry doesn’t usually raise alarms. It feels like a small inconvenience — entering the same information into two systems, copying data from one place to another, updating a spreadsheet after logging something elsewhere.

Software is supposed to make your business more efficient. But over time, many organizations find themselves working around their software instead of with it.

After more than three decades in software — and ten years running a business — you start to notice patterns.

If your software only works at your current size, it’s already a problem, because growth isn’t what breaks systems — lack of scalability does.

There’s no shortage of opinions when it comes to software. Over time, certain beliefs get repeated so often they start to sound like facts.

In reality, many of them lead to poor decisions, higher costs, and unnecessary frustration.

When deadlines are tight and priorities are shifting, pushing something down the road feels like the right call.

But in software, “later” has a way of becoming never — or worse, much more expensive.

You get confusion, rework, and a system that doesn’t behave the way anyone expects.

Before you automate anything, you need to document it.