Quick summary
Practical training tailored to your team, after which it knows exactly what belongs in workplace AI tools and what is already a risk. Instead of general phrases, you take away specific skills for verifying outputs and setting internal guardrails, so that the company can more easily demonstrate compliance. It is part of our broader AI training for businesses.
- What does not belong in AI — personal data, un-anonymised contracts, and sensitive know-how whose leak can cost you more than the time saved.
- Verifying outputs — how to systematically check what AI has generated and not be caught out by hallucinations that look convincing.
- Internal rules and permissions — who may use which tool, what to copy where, and how to separate public services from those where data stays under control.
- Demonstrability of compliance — we set up record-keeping so that in an audit or incident you can show the rules and records, instead of a complex reconstruction of what happened.
What you will learn in the training
We go through model situations on your real data and documents. We explain the difference between ordinary operational data and sensitive data, including borderline cases where a single copied sentence changes the risk category. We show how to recognise when a tool may send data outside the EU or use it to train models — and how to verify this before you let it into the company.
We set up a simple framework that determines what employees may put into public AI services and what belongs solely in internal or locally operated tools. We teach your team to verify outputs through cross-checking and basic validation procedures, so they understand the results and do not rely on them blindly. Together we also build clear record-keeping and an internal directive that addresses access rights, the approval of new tools, and the recording of incidents. This is not a legal analysis, but a practical signpost with which you can more easily demonstrate that you are addressing the risks.
Who the training is for
We build the training for three levels that must pull together — management, who approve the tools and bear the responsibility; administration, sales, and HR, who work daily with personal data and contracts; and the IT team, who are meant to watch the deployed services and keep the rules technically enforceable. We adapt the level of explanation and the practical exercises to the audience — we do not run a universal scenario, but what you are dealing with.
How the training runs
No generic lecture along the lines of „AI is great, but watch out for personal data". We prepare a workshop built on your documents, real working procedures, and the tools you already use or are considering. We can come to you, run it in our lab in Brno-Židenice, or online — we adapt the format to what suits you. The concrete output is a set of usable internal rules and a practical checklist that will guide your team in everyday operation.
Why ITHOPE
- Practitioners, not just trainers — we really do deploy AI, test it in live operation, and know its weaknesses first-hand, not from someone else’s slides.
- Reach into IT security — we make a living managing servers, backups, and data recovery, so we cannot ignore the risks of a leak or badly set permissions.
- Our own infrastructure — when the cloud is not enough for sensitive data, we can follow up with AI deployment on infrastructure under your control, without sending anything out.
- One partner for several layers — you handle IT, cybersecurity, and AI with us, without having to assemble a mosaic from several suppliers.
Arrange a consultation
We will arrange a no-obligation consultation where we talk about how you really use AI and where you perceive the greatest risks. Send us ideally the departments involved and a few typical situations you are dealing with — we will save time and can show straight away how AI training for businesses would look tailored to your operation.