AI training, policy & workshop
AI is not a hype and not an IT party. It is a strategic lever — if you know where it adds value, where the risks are and how to adopt it responsibly.
In this hands-on incompany training, your team translates AI into concrete use cases, practical prompts, responsible working agreements and adoption steps for your own organisation.
Format: incompany · Duration: 4 half-days / 2 days · Participants: 8–12 · Focus: use cases, policy and adoption · Output: AI use cases, prompts and working agreements
Many organisations already use AI. Often quietly, individually and without clear agreements.
Employees experiment with tools. Managers hear promises about productivity. Customers and suppliers start asking questions. And at the same time, uncertainty grows around privacy, quality, data, responsibility and control.
That is why AI should not be treated as a loose tool issue. It is a leadership and organisational question. Where can AI genuinely add value? What should people be allowed to use? What data is sensitive? How do you check output quality? And how do you make sure AI improves work instead of creating confusion?
This incompany programme helps your team move from scattered experiments to practical, responsible and useful AI adoption.
Who is this for?
For entrepreneurs, directors, management teams and key roles that do not want to leave AI to coincidence.
This training is especially relevant when:
- AI is already being used, but without clear agreements
- You want to identify valuable AI use cases for your own work and processes
- You want employees to use AI more effectively and responsibly
- You want a practical starting point for AI policy
- You want to improve productivity without losing quality, privacy or control
- You want to connect AI to leadership, work processes and adoption
What will it deliver?
The output is practical and immediately usable. Not a general AI lecture, but a working foundation for your team.
5 concrete AI use cases
Relevant AI applications for your own work, processes and team context.
Prompt principles
A repeatable way of writing better prompts and checking quality.
AI working agreements
Practical agreements on privacy, data, quality and responsible use.
Adoption foundation
A shared basis for applying AI in a way that fits your organisation.
You also leave with your own prompts, templates and first steps towards practical AI policy.
Why this matters now
AI is moving into everyday work faster than most organisations can formalise it.
That creates opportunities, but also risks. People can work faster, summarise better, brainstorm more easily and automate repetitive work. But they can also share sensitive data, trust weak output or create inconsistent ways of working.
The organisations that benefit most are not the ones that simply buy more tools. They are the ones that know where AI adds value, how people should use it and what boundaries need to be clear.
Programme structure
Day 1 — AI in your organisation
- Opportunities, risks, data, safety and current developments
- AI across the organisation: marketing, market research and focus points in consultation
- Prompt tips and templates
- Hands-on work on your own cases
- Closing with insights, results and first conclusions
Day 2 — AI for productivity and processes
- Recap and sharpening of use cases
- Smarter work with AI: emails, summaries, brainstorms, meetings and agendas
- Knowledge management: HR, legal, customer service and manuals
- Perspective: workflow automation and agentic applications
- Translation into agreements, adoption and next steps
The exact content is tailored to your organisation, current tools, processes and maturity level.
How we work
We keep it practical, accessible and directly connected to your own work. Participants do not only listen. They build, test, improve and discuss.
1. Intake
We identify relevant processes, cases and questions around data, privacy and tools.
2. Hands-on training
Participants learn by applying AI to their own work and real cases.
3. Agreements
We translate lessons into working agreements around privacy, quality, data and responsible use.
4. Next steps
We define what needs to be embedded, improved or developed further.
Practical information
- Format: incompany, at your location or external location
- Duration: 2 days / 4 half-days
- Participants: 8–12
- Trainer: Jeroen Diepstraten
- Output: use-case list, own prompts and first basis for AI working agreements
- Preparation: 2–3 processes or cases plus any existing guidelines around data and privacy
- Investment: on request
- Language: Dutch or English
Tools, privacy and responsible use
This programme is not about one tool. We use current tools and, where relevant, the tools already used in your organisation, such as Microsoft Copilot or other AI applications.
The key question is not only what a tool can do. The key question is how your people use it, what data they enter, how they check output and which agreements are needed to keep quality and responsibility clear.
Policy that people can actually use
We do not create legal documents nobody reads. We help create practical do’s and don’ts that can form the basis for AI policy, adoption and daily use.
Also relevant
AI becomes more valuable when it is connected to leadership, process improvement, strategy and financial understanding.
Want to make AI practical, responsible and useful?
Leave a message or send us a WhatsApp. We will think along with you about your team, current tools, risks and the best incompany setup.
FAQ
Do participants need to be technical?
No. We focus on application, choices and frameworks — not on technical jargon.
Which tools do we use?
We use current tools and, where relevant, the tools already used in your organisation, such as Microsoft Copilot or other AI tools.
Does this also cover privacy and risk?
Yes. We make practical agreements about data, quality, privacy and responsible use.
What does this deliver for my team?
Use cases, a repeatable working method, templates, own prompts and practical AI working agreements.
Is this suitable for SMEs?
Yes. Especially for SMEs, this helps prevent scattered experiments and creates a shared foundation for responsible AI use.
Can you help with AI policy?
Yes. This programme includes practical do’s and don’ts that can form the basis for AI policy.
Is this also available as an open training?
Yes. Also view the open training: AI werkt voor iedereen.
Can this be delivered in English?
Yes. Depending on the group and context, the incompany programme can be delivered in English.
Ready to make AI work for your organisation?
Plan a personal introduction and discover what an incompany AI training, policy and workshop could mean for your team.