AI is already inside your company. But who is steering it?
Your people already use it, and the most capable ones are building small solutions of their own. That is a good sign, but it raises questions: what is it used for, where does it run, who has access? In our hands-on training, leaders and teams learn on their own tasks how to turn this into work that runs on shared rules and can be checked.
In one day, four Hungarian AI teams show how a customer acquisition process is built, and you start building it for your own company. CEU, Budapest.
Details ›Which situation sounds familiar?
The licence is there, an organised way of working is not.
Role-specific practice on your own tasks: what you can hand over to AI, how to brief it, how to check the result.
The know-how sits with a few people.
Shared usage principles, task templates and internal AI champions, so good practice spreads.
Useful, but where does it run, who has access, who maintains it?
In the leadership workshop we go through data handling, access and accountability, and when you need an IT, legal or compliance expert (GDPR, the AI Act, and DORA in the financial sector).
Building the rules and the operating model: Wenova Advisory ›An ad hoc solution works for one case, not for recurring tasks.
We teach you how to build the solution so that it is documented, verifiable and can be handed over.
Going live and system handover: Wenova Labs ›An unpredictable engine, predictable operations.
AI can give different answers to the same question, and it can make mistakes. That is why clever prompting is not enough: the task, the acceptance criteria and the checks have to be planned in advance, and you have to decide where a human decision is needed. With us, every practice task comes with acceptance criteria and a verification step, from leaders to developers.
Where does your company start? Four entry points.
What the company can use AI for, which data handling and accountability questions need a decision, and what the first opportunity to examine should be, with an owner.
Request a leadership workshop ›Role-specific tasks, guided practice, spotting errors, shared usage principles, agreed follow-up. If your team has already had general AI training, we continue from there: on your own tasks, with your own rules.
Request a team programme ›Agentic working methods, specification, quality gates, traceable changes: so that experimenting turns into verifiable, maintainable code.
Request a developer programme ›One-day, hands-on sessions on a single topic, in small groups. Now: AI Sales & Marketing, 19 November 2026.
Current workshops ›Where the rules, the operating model or the system itself has to be built, Wenova Advisory and Labs help, together with the training or independently of it. wenova.io ›
The founders teach it themselves
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Csaba PiyaFounder · lead AI trainerA technology entrepreneur who has done it all himself, from code to company building. He works to make AI a real, everyday working tool in the hands of individuals and teams.
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Krisztián KeményFounder · processes15+ years of product development and technical project management on premium automotive projects. He teaches how AI becomes a verifiable, traceable process.
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Zoltán KeményFounder · AI in the enterpriseAs managing director of a multinational logistics company, he gained experience in building and leading large organisations. His focus is the use of AI in large enterprises and by leaders.
In the participants' words
“The training was extremely practical, full of examples and exercises that I can apply immediately in my work. (...)”
“I not only learned how to use AI tools, but also built new professional connections. (...) Overall it far exceeded my expectations.”
“(...) Thanks to the hands-on exercises, I started using ChatGPT and Claude with confidence. (...)”
“I found it particularly valuable that the training did not consist of theoretical lectures, but presented the possibilities of AI through concrete business situations. (...)”
How does a corporate programme work?
Roles, prior knowledge, concerns, permitted tools and one real work task.
Tailored to the company's tasks, tools and rules.
Participants give context, delegate, check and correct, with expert feedback.
Task templates, evaluation criteria, internal owners, agreed follow-up.
In the closing task of the programme, every participant shows on their own work how they complete and check the task with AI; this shows where they stand and what still needs work. At the agreed follow-up, we review together whether the team keeps using it.
We clarify the conditions for using data and tools in advance; where needed, we work with anonymised or synthetic examples.
Format, length, group size, location (at your place, at ours or online) and timing are up to you. The price depends on these; the proposal lists in detail what it includes.
Our partners
Which situation is yours? Let's start there.
Tell us where your company stands with AI today, and we will put together a programme that fits. We start with a short call; the request does not commit you to anything.