Your company already uses AI. The question is: do you know where your data goes?

ChatGPT, Copilot, Gemini… your employees already use them. Every day. To summarise documents, draft emails, analyse data. And in most cases, nobody knows exactly what information is leaving the company.

This isn't a productivity problem. It's a control problem.

The answer isn't to ban AI — it's to deploy it properly.

What's actually happening in your organisation

When an employee pastes a client contract into ChatGPT to get a summary, that text is processed on OpenAI's servers. When they use Copilot to draft a proposal, that content passes through Microsoft's cloud infrastructure. Most employees don't think about this. They're just getting their work done.

The risk isn't hypothetical. It's happening now, at scale, across every industry.

The alternative: private deployment on your own infrastructure

At AP Interactive we deploy private language models inside our clients' infrastructure. No data leaving to third parties. No external APIs processing your confidential information.

What this means in practice:

• An LLM trained on your internal documents, accessible only to your team
• Automation of repetitive processes without exposing sensitive data
• Advanced analytics on your own information, in your own environment
• Real regulatory compliance — not a checkbox on a form

What sets us apart

We don't deploy these models on third-party cloud. We do it on our own infrastructure (AS215691), with hardware we control and data centres in Madrid, Netherlands, Germany and New York.

AI isn't the future — it's the present. But deploying it without control is worse than not deploying it at all.

If you'd like to talk about what a private AI deployment would look like for your organisation, get in touch.