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INSIDE AI: Don’t ban AI. Govern it.

INSIDE AI: Don’t ban AI. Govern it.

Dawood Patel explains why banning AI can increase shadow AI risk, and why businesses need clear boundaries, use cases and governance to adopt AI safely.
Dawood Patel
13 July 2026
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3 min read

One of the most common questions I’m getting right now is: “How do we give employees access to modern AI tools without exposing the business to data leaks?”

Most companies instinctively go one of two ways:

  1. They either give everyone access and hope for productivity gains.
  2. Or they shut it down completely.

Both approaches are risky. The biggest exposure point today isn’t AI itself. It’s shadow AI.

When organisations don’t communicate a clear stance on AI, employees create their own. They use public tools. They paste internal information into free models because no one has told them what the company’s position is.

The first step isn’t a policy. It’s a stance.

If you’re a bank, maybe you use AI internally but it’s not customer-facing yet. That’s fine. But say it clearly. People need to understand what the organisation believes and where the boundaries are.

Restricting access completely doesn’t work. It pushes usage underground.

We’ve seen this pattern before. Think about tech in schools. We assumed digital-first would automatically improve outcomes. Years later, countries like Sweden and Finland are reversing course because unfettered access didn’t produce the cognitive benefits people expected.

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The biggest exposure point today isn’t AI itself. It’s shadow AI.”

– Dawood Patel, Chief Executive Officer

AI is similar. It’s a paradigm shift. You can’t just hand it out like Microsoft Word licenses. It has to be rolled out use case by use case.

Again, think about what it is you’re actually trying to solve? If you’re in manufacturing, maybe it’s production efficiency. If you’re in logistics, maybe it’s invoice validation.

Start there. Then build guardrails around that specific problem.

The other risk I believe is underestimated is data leakage into foundation models.

When people test strategies, draft responses, or refine thinking inside public tools, they don’t always understand where that data goes. If every bank uses the same foundation model, where does differentiation come from?

Don’t ban AI. Rather govern it deliberately.

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