mrc's Cup of Joe Blog

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Month: May 2026

The Low-Code Vendor Lock-In Test: Five Questions Before You Sign

One of the most common myths I’ve heard about low-code vendor lock-in is that it’s unavoidable. Pick any platform, the thinking goes, and you’ll be locked in within three years. That’s just part of the deal.

The only problem with that assumption: It’s wrong.

Of course, lock-in is real and exists across many low-code platforms. But it isn’t built into low-code as a category. It’s built into how a specific platform is architected. Some platforms create it. Others don’t. The trouble is that the difference is hard to see during a demo, when every vendor sounds open.

The bigger problem is, a vendor may not define “lock-in” the same way you do. The contractual definition (no clause prevents you from leaving) and the operational definition (the cost of actually leaving) are not the same thing. The architectural decisions baked into a platform are what really determine lock-in, and they are the part that doesn’t usually come up in a sales conversation.

Rather than asking about vendor lock-in, the better question is this: If you wanted to take your applications, your data, and your team and walk away, what specifically would break?

Of course, you can’t ask that question outright in a sales call. The vendor doesn’t know the answer in the abstract any more than you do. But you can answer it yourself, by working through five smaller questions. Each one tests something structural about how a low-code platform works that goes beyond what marketing and sales say about it.

Run any platform on your shortlist through these questions, and the answers will tell you exactly what leaving would cost.

The first one is the foundation. Everything else depends on the answer.

Coming in May: Build AI Agents in Your Environment, Governed by Your Own IT Team

In speaking with IT leaders recently, I keep hearing the same thing. Employees are using AI, with or without IT’s blessing.

The problem: They’re using it in risky ways. For example:

  • They’re pasting customer lists into ChatGPT to summarize them.
  • They’re feeding contracts into public chatbots to analyze them.
  • They’re asking AI tools to review company data they exported to a spreadsheet.

Here’s the part that should worry you. Studies keep finding the same thing, including IBM’s 2025 Cost of a Data Breach report: Employees routinely ignore the AI tools their company actually paid for. Why? Because the sanctioned tools are slower, harder to get into, or don’t do what they need. So, they reach for the public ones instead.

In short, Shadow AI is becoming the default.

I talk to IT leaders who feel like they’re in an impossible spot. They’re trying to manage a workforce that’s already using AI, on tools they didn’t approve, against data they’re responsible for, in ways their auditors and privacy team can’t see. Policy memos don’t fix that.

The only thing that fixes it is giving people a sanctioned path that’s easier than the rogue one. IT needs a way to deliver sanctioned AI that’s easy for the users…without giving up control.

That’s exactly what’s coming next in m-Power.