How SMEs Can Minimise AI Risks: 5 Things to Consider

Every SME is racing to adopt AI. And it's easy to see why. The promise of greater efficiency, smarter workflows and empowered teams is compelling.

Nobody wants to be the business that gets left behind while competitors move faster and operate more efficiently, either. But adopting AI just to tick a box without a clear strategy or purpose creates risk without delivering value.

We're seeing businesses deploy AI tools across their teams without fully understanding what those tools do, how they handle data or what information is being shared with them. In some cases, employees are adopting AI tools on their own initiative, without any oversight or approval from IT or management.

That's a problem. Because once your data is out there, getting it back isn't straightforward.

The data exposure risk

When employees use AI tools, particularly public-facing AI engines, there's a real risk that sensitive corporate data gets shared with platforms you don't control.

It can happen in a few different ways:

• Someone pastes a confidential document into an AI tool to get a summary
• Another person uploads client data to generate a report
• A third uses AI to help draft a response and includes commercially sensitive details in the prompt.

None of them is acting maliciously. They're just trying to be more productive.

But that information is now sitting inside a public AI engine. Depending on the platform and its terms, it could be used to train future models.

That means it could surface in someone else's search or query. A competitor performing what they believe to be a routine AI search could stumble across your sensitive data without even realising where it came from.

Once the genie's out of the bottle, it's incredibly difficult to put it back in. And the longer you wait to address this, the more data is at risk.

5 things to consider before you start adopting AI in your SME

None of this means you shouldn't use AI. The technology can deliver genuine value when deployed correctly. But it pays to put the right checks and balances in place before you begin your journey.

Here are five things every business should consider.

1. Understand which AI tools your team is already using

You can't govern what you can't see. If employees are adopting AI tools independently — and many are — you need visibility of what's in use across the business. Shadow AI is a real and growing problem, and most businesses don't discover it until something goes wrong.

2. Define what data can and can't be shared with AI platforms

Not all data is equal. A marketing team using AI to brainstorm campaign ideas is very different from a finance team pasting sensitive figures into a public tool. Clear policies on what's acceptable to input into AI tools are essential. Your team needs to know where the line is.

3. Choose the right platforms for your business

Not every AI engine is built the same. Some offer enterprise-grade data protection, with guarantees that your inputs won't be used for training or shared externally. Others don't. The choice of platform matters enormously, and defaulting to whatever's free or popular is a risk, not a strategy.

4. Configure AI tools securely

If you're deploying AI within your existing environment, such as Microsoft Copilot, make sure it's set up in a way that respects your data boundaries and access controls. For example, Copilot surfaces information based on a user's existing permissions. If those permissions are too broad, Copilot will happily surface data that the user shouldn't be seeing.

5. Educate your team

In most cases, employees don't expose data maliciously. They do it because nobody told them not to or because they didn't realise the risks. Training and awareness go a long way. Make sure your team understands what AI tools are approved, what data they can and can't share, and what to do if they're unsure.

Strategy first, technology second

The businesses getting the most out of AI are the ones that started with a strategy, not a subscription. They asked: What are our business goals? Where can AI genuinely add value? And what do we need to have in place before we start?

That's the approach we take at Method. We help businesses adopt AI in a way that's strategic, secure and aligned with their goals, not just because everyone else is doing it.

We're vendor-agnostic, too, so we'll recommend the right platform for your needs, whether that's Copilot, ChatGPT, Claude, Perplexity or something else entirely. And we'll make sure your data governance framework is robust enough to support it.

Put an AI strategy in place today

It's far easier to get your safeguards in place before you start your AI journey than it is to fix a data exposure problem retroactively. That means the time to act is now, before a well-meaning employee inadvertently shares something they shouldn't.

At Method, we’ll help you put the right foundation in place so you can embrace AI with confidence, not concern. Book a free consultation today to learn more.