Overview and strategy
What is possible today, where the risk is, how to set priorities and measure return.
Training
AI training your team actually applies afterwards.
Years of speaking and training experience — we have trained up to 300 people at once. In the workshops participants build real AI tools on their own work tasks.
Format and length
From a single talk to a two-day intensive.
- Talk
- 45–90 min — overview and inspiration, fits a conference
- Half day
- Overview + first hands-on exercises
- Full day
- Hands-on workshop, each participant builds their own tool
- 2-day intensive
- In depth: agents and automations, finished solutions to take away
- Location
- On-site at your company, online or hybrid
For whom
Three audiences, three emphases.
Practical skills
Prompting, document work, analysis and automations on your everyday tasks.
A shared workflow
Agreed tools and habits so AI use is consistent, not random.
Topics
What we cover.
AI fundamentals and possibilities
Prompting in practice
AI in the workflow: email, documents, analysis
Automations and agents
Preparing data
Risks, privacy and ethics
Choosing tools
What participants take away
The training ends, the value stays.
- Templates
- Ready prompt and tool templates you can use straight away
- Materials
- Slides and guides, a recording if needed
- Action plan
- A concrete “next week” list for every participant
Your in-house AI specialist
Send one employee — get back an AI specialist
The company picks one of its employees and we train them into a person who genuinely understands AI, shaped around your needs. Today it is essential for every company to have at least one such specialist in-house — otherwise AI use stays ad hoc and the knowledge is bought in again every time.
- Who fits
- A motivated employee who picks things up fast — an analyst, project manager, IT person or a domain specialist. No prior knowledge required; willingness is what counts.
- How it works
- One-on-one training over several weeks, on your company's real tools, data and processes — not a generic course. Structured learning, hands-on work on your cases, and ongoing mentoring.
- What they can do afterwards
- Build and maintain automations, assess and choose tools, write the prompts the work needs, roll out AI safely, and train colleagues.
- What the company gains
- One person in-house who knows what to do with AI and what not to. The knowledge stays in the company, AI use becomes consistent, and you don't depend on an outside partner for everything.