Are Your Staff Already Using AI With Your Company Data?

The Conversation Nobody Is Having in Your Office

Right now, somewhere in your business, an employee is pasting a client proposal into an LLM to improve the language. Another is summarising last quarter's financial results. A third is asking it to respond to a difficult HR situation and copying in the email thread for context.

None of them mean any harm. They're trying to do their jobs better and faster — none of them are thinking about where that data goes next.

This is not a hypothetical. Nearly half of UK organisations have had someone share sensitive corporate data with a public AI tool — and most have no way of knowing it happened.

What Actually Happens to Your Data

Most people assume the AI reads their text and forgets it. The reality — particularly under UK law — is more serious than that:

• Data leaves your infrastructure entirely. Every query is processed on external servers outside your network, outside your physical control, and outside the scope of your existing security policies.
• You cannot demonstrate what was shared or when. There is no audit trail on your side. If a client, regulator or insurer ever asks whether their data was processed by a third-party AI, you have no evidence to present.
• You remain the data controller under UK GDPR regardless. The legal responsibility for how your data is handled does not transfer to the AI provider just because your employee chose to use their tool.
• A valid Data Processing Agreement may not exist. Under UK GDPR, any third party that processes personal data on your behalf must have a DPA in place. For employees using personal accounts, that agreement almost certainly does not cover your organisation's data flows.
• The US CLOUD Act creates jurisdictional exposure. Data processed by US-based technology companies — including OpenAI, Google and Microsoft — can be compelled by US authorities, regardless of where the data originated.
• You cannot control which version of the tool your staff are using. Employees access AI tools on personal devices, home networks, and through browser extensions — beyond what IT can see or govern.

Why Banning It Doesn't Work

Many IT managers' first instinct is to block access to AI at the network level. The problem: employees switch to their phones, home connections, or other AI tools that aren't blocked yet. The underlying need to work faster and process information quickly doesn't disappear when you block a URL. It just becomes invisible to you.

The organisations handling this well aren't banning AI. They're giving employees a better, safer alternative — one that delivers the same productivity benefits without any data ever leaving the building.

The Solution: Private AI That Never Leaves Your Building

On-premise Private AI gives your employees the same capabilities — document summary, drafting, analysis, knowledge search, answering questions about your internal procedures — but running entirely within your own infrastructure. No data leaves. No third party processes it. No GDPR exposure.

Crucially, it connects to your own internal documents and knowledge base. The answers it gives are drawn from your own data, which means it's actually more useful for your specific business context than a generic public AI tool.