AI Enabled Executive

For owners and managing directors who set the direction of their company, for managers who steer their division or their team, regardless of company size: on this topic, you want to be at the wheel yourself.

Because AI is a decision you don't simply delegate. Those who understand it, can judge it and shape it themselves stay independent: building their own solutions, rolling them out in their own house, keeping the reins in hand. That is exactly the sovereignty we give you: the toolkit to lead AI on your own terms.

You carry your own project all the way through, from the first concept to a solution that actually runs at the end: 8 practice days in 8 weeks, guided live throughout.

You work on your own venture for 8 weeks: deciding, building, testing, discarding, rebuilding, until it runs. The learning does not happen through slides but through your own experience, guided by us. Part of that is the time you spend with the AI: getting a feel for how to steer it and where its limits are, is the real key experience, and it does not emerge in one or two days.

On the content side: the factors and metrics by which AI ventures succeed or fail, plus data strategy, dealing with US and third-country providers, EU AI Act and transparency duties. You bring nothing but your venture.

The test environment is included. We give you your own AI agent server^* and your own AI access, and the environment stays available beyond the last day, so you can keep experimenting afterwards: 3 months after the programme ends.

You learn to work with an AI as a team, on a real project of your own, in a secured environment, without touching your professional or private systems. Together you think ideas through, structure them and write them up into a specification. You weigh paths and approaches and decide together what the first build looks like and where it goes from there.

What you take away in the end:

• Real experience working alongside an AI: the key competence of the future.
• Prompting as a craft: precise tasking, iteration and correction, across ventures lasting weeks and several projects in parallel.
• Context discipline: storing project knowledge so the AI carries on reliably across sessions and weeks.
• The grounded ability to judge and steer AI applications yourself, instead of believing it.
• A reliable sense of the strengths and limits of the technology: why results vary, where it hallucinates, where context is lost.
• Token and cost control: how context windows, context size and model choice drive cost.
• Conscious handling of your data: what leaves the server, where to, and how you take responsibility for it; plus data strategy and the deliberate use of US and third-country providers.
• Working with AI, delegating and parallelising: handling files, storage and context safely, keeping credentials and secrets apart.
• Independence from ready-made tools and platforms: building flows yourself instead of clicking them together.

The full list is above under “What you learn”.

You don't need to program, and technical background is not a prerequisite. What matters is creativity, communication and openness towards the technology: you bring your ideas and your judgement, the AI handles the technical side.

Where something is missing, we fill the gap: individually and hands-on, in at the deep end: you work directly with the AI, and we're right beside you.

It is one programme in three rhythms, not three different courses. Content, guidance and environment are the same in all three options; what differs is how closely the practice days move to your calendar.

• Rigel, from 4,900 euros plus VAT: scheduled practice days in the group on one weekday from Monday to Friday, at most 5 participants.
• Vega, from 6,400 euros plus VAT: everything in Rigel, plus a flexible practice day including Saturday and 6 months of personal ad-hoc sparring after the programme ends.
• Sirius, on request: personal one-to-one guidance with a free choice of dates, content, technical setup and scheduling tailored individually, on request also as a compact workshop format or as a closed event for your leadership team.

Which option is the right one we settle in conversation. Talk to us.

From the first minute you work in an environment of your own, fully set up: an AI agent server^* in Germany and AI access of your own to go with it. You sign in and start; setup and operation are on us. That is the difference to a course that explains on slides what it would be like.

That buys independence. The environment is no platform of ours that you move into: there is no account and no login on our side. You work in your own space, separate from your private and business systems, and once the included period ends you decide: keep the server running, move to an environment of your own, or leave it there. What you learn here stays with you even if you later settle on entirely different tools.

And it lowers the barrier. The machine is steered by language. Whoever works technically goes deeper and looks under the hood; whoever does not simply describes what they need, and gets it. So everyone in the same room has their own experience, and everyone works hands-on.

As a guide, plan for about one day a week. You work remotely in a live session on your project. In between you can keep working on your own project, or let the AI keep working.

How much you invest between sessions on top of that depends on your intensity, your technical affinity and your prior knowledge.

No, and that is deliberate. There is no fixed curriculum, no script and no on-demand video course for you to work through alone. There is no ready-made learning package that runs the same for everyone.

The core is working together in real time: we sit together live and develop the steps session by session on your own project, not you alone in front of prepared material. Your undertaking sets the way; what we do follows wherever it leads you. The project is the learning, not some body of material that stands in front of it.

The AI is a tool you operate yourself, not our teaching material. What makes the programme is the shared live work on your undertaking and the experience standing at your side while you do it.

No. We test nothing, grade nothing and monitor no learning progress. There is no mandatory material you'd have to pass, no lessons to tick off and no test at the end.

You work on your own undertaking, and we work alongside, as a partner at your side, not an examiner above you. What you take away shows in your project itself, not in a grade.

Your working data, everything that belongs to your AI solution, is backed up continuously in the background. If you take it apart, we bring it back; the environment itself we simply rebuild if need be. Read that as an explicit invitation: play it safe here and you'll learn very little.

Optionally and on request, using EU-hosted AI is possible; the listed options “Rigel” and “Vega” run on US AI. Beyond cost, though, an EU setup noticeably narrows the feature set and the experience.

We deliberately recommend using US AI in an independent test environment: it is exactly this direct, self-owned engagement with a real AI that is a learning effect at stake here.

For companies under stricter obligations, the server environment can additionally be integrated into your own cloud solution. Talk to us.

The environment and AI access run for 3 months, with the costs fully covered by us. After that you can keep the server running with us quarterly and continue your projects on your own. The AI access we provide ends with those 3 months; to carry on, you use a subscription of your own and attach it to your server.

No, quite the opposite. Ready-made tools for automation, AI agents or AI platforms are always just narrow frames for one particular workflow, and they create a dependency even when you no longer need them.

Here you build your own instead: after the programme you create any workflow yourself, and the effort is barely greater. Build it yourself instead of clicking a template, no platform lock-in, real teamwork with an AI. Full individuality, full independence, exactly what you need, nothing more and nothing less.

The decisive framework topics come up where they become concrete on your project: AI governance and AI cost control, data strategy and data sovereignty, US and third-country providers, ethical and legal constraints including the EU AI Act, copyright, and the question of who answers for an AI's suggestion. Not a dry legal lecture, but short introductions exactly where the question arises in your own undertaking.

That way you take away a feel for what matters on these topics, and when to look more closely or seek advice back at the company.

Your working environment sits in Germany: that is where your files live and where your agents run. The AI itself deliberately runs at a US provider; no language model of our own runs on the German server. So the environment and your data stay in Germany, while the model calls go to the US. We say so openly; it is the reality you will be deciding in back at the company as well. EU-hosted models are possible on request.

Which data you use is your decision: business, personal or made-up. You run a company; you are equipped to make this call, legally included, and we won't patronise you about it. Together with your AI you analyse the flow and use of data in your project and decide deliberately, building block by building block, for or against, with all the consequences we lay out for you beforehand.

That is precisely the competence at stake here: making that decision consciously, instead of working around it.

You receive a confirmation of participation, verifiable online: via a code anyone can check at any time that you completed the format you booked, what it covered and how many hours it comprised.

You can verify a confirmation on our verification page cert.aiee.eu: enter the code, confirm authenticity.

Article 4 of the AI Act requires companies to foster AI literacy among their staff. The practice programme is one building block towards that.

On completion you receive an online-verifiable confirmation of participation stating participant, date, content and hours. It adds to your internal training records, for instance in the context of Article 4. The legal assessment remains with the company.

In principle, yes. The programme is built the way public training subsidies usually require: scheduled dates, a fixed number of hours, documented content and a confirmation of participation at the end.

Whether funding applies in your case depends on the specific scheme and your situation: KOMPASS for solo self-employed people in Germany, say (90 % of the qualification costs, up to 4,500 €), or the Skills-Scheck for companies with a branch in Austria (50 %, up to 5,000 € per person). Requirements differ by country, funding body and point in time, and budgets are usually capped.

One thing to note: funding applications normally have to be filed and approved before you book bindingly. So talk to us early; we'll tell you frankly what looks feasible and provide the documents the funding body needs from us. The funding body alone decides on approval; we cannot promise it.

These are the names of stars. We named the three programme variants after stars of different brightness in the night sky: Rigel, Vega and Sirius, each brighter than the one before. Sirius is the brightest star in our night sky.