CoreTech Blog

As an IT service provider, our techs spend their days at the intersection of cutting-edge and business-critical. In 2026, the conversation about each has shifted. It is no longer about whether you should use AI, because everyone is, but about the risks of trusting it blindly.

We have seen it firsthand: companies that treat AI like a set-it-and-forget-it solution often end up calling us for emergency damage control. Here are the major pitfalls of over-trusting AI and how to keep your business from becoming a cautionary tale.

A backup does not truly exist until you have successfully restored from it. This is the hard truth of information technology. Many business owners and internal teams rely on the green checkmark in their software dashboard to signify safety. However, that status light can be misleading, masking deep-seated issues that only appear when a crisis begins.

Working in IT, we see the behind-the-scenes of dozens of businesses. To many, a Point of Sale (POS) system is often viewed as just a digital cash register. It’s actually the central nervous system of a modern business. When it works, it is invisible; when it fails, the entire operation grinds to a halt. As we move through 2026, the complexity of these systems has reached an all-time high. Here are five of the biggest challenges we see businesses facing today from an IT perspective.

You've probably noticed it by now: Your employees are getting faster at writing emails, creating reports, and summarizing meeting notes. Someone might have even joked about "asking ChatGPT" during a recent conversation. The real question is: are they using AI inside clear boundaries—or just hoping nothing slips through? Do you know what this means? AI risks for business aren't just theoretical anymore. 

Of all the features and capabilities modern workplace software offers, it is very possible that the spreadsheet tool offers the most… with relatively few people realizing what they have access to within it. There are many very smart inclusions that can make life much easier for those who know what they’re doing.

For example, if your data is formatted correctly, it is easy enough to identify which day of the week a given date falls on.