Workshop
AI for Business
A basis for decisions instead of a tool demo: what AI realistically delivers in a company, what risks it brings and what an approval looks like that holds up for data protection and operations.
Introducing AI into a company is not a technology question first but an approval question: which data may go to which provider, who decides that, and who bears the consequences. In many organisations the use is already happening, just unregulated, through private accounts and copied documents.
That is the same state as business travel without a travel policy: people travel anyway, only without rules and without receipts. This workshop creates the basis for deciding how to order that use instead of banning it. A first self-assessment is the AI readiness check.
An AI use case is only approved once five questions are answered in writing: which data goes in? To which provider? Who is accountable for the result? Who may use it? How is the use logged? This approval sheet fits on one page, and you can use it from tomorrow. The workshop fills it in for your first use cases and clarifies the cases where the answer has to be no.
Schedule
Agenda
Four hours of presentation with discussion, no exercises. Technical terms are explained, prior technical knowledge is not needed.
What the technology can do today
The state of the models without the marketing filter: what works reliably, where the limits are and what AI initiatives fail on in practice.
Risks
Data leakage, false statements, copyright and dependence on the provider: which risks are real, how heavily they weigh and what can be limited.
Data protection
Which data flows where, processing agreements, EU providers and local operation: the questions your data protection officer will ask, and the answers to them.
Internal GPTs
What internal assistants are, what they cost and in which cases they pay off.
Self-hosted models
Your own models in your own data centre: when the effort pays off and when a European provider is the better choice.
Governance
Approval process, internal policy, logging and training obligation: the building blocks that keep the use of AI under control.
Security
Prompt injection and tool access, explained in language without jargon: what can happen when a model is allowed too much.
Your next step
We collect possible use cases from your organisation and assess together which three make sense first.
Practicalities
Who it is for, what you bring, what you take away.
Dates and terms are agreed individually.
Contact
Request this workshop.
Write to us which group is to be trained and what should be different afterwards. You get a proposal for scope and schedule.