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Training programme

Ten trainings. One ladder.

From a first introduction to AI to the boardroom. For employees, key users, managers and executives. Always in-company, in small groups and on your own work.

Schedule an intake
01 — The ladder

Where are you now, and what is the next step?

Each rung builds on the one before.

At the bottom you learn to use AI well and safely. Further up you turn it into fixed ways of working and agents, help colleagues along, and steer as a manager or board member. Every training can also be taken on its own. The ladder is a recommendation; the choice is yours.

Where do you start?

You are just starting with AI, or your team works with sensitive data
Training 1 or training 2
You already use AI and keep retyping the same instructions
Training 3, training 4 or training 5
You are going to help colleagues in your department get started
Training 6
You manage people, sit on the executive team or handle policy
Training 8, training 9 or training 10
You build software or manage systems
Training 7
02 — For employees and key users

Rungs 1 to 3, and the technical track

First use it well. Then make it routine. Then help others.

For each training you can see who it is for, how long it takes and what you will have in hand at the end. You can expand the outline programme. Together with you, we tailor the examples to your own work.

Foundation

Rung 1

Get more out of yourself

One day, your own team, your own work. The basics in the morning, practice in the afternoon. The front door to the ladder.

Who it is for
The whole team, from every department and with mixed roles
Duration
One day
Group
10 to 15 participants
Prior knowledge
None

What you take away

  • Three worked-out applications on your own tasks, with what you check yourself for each task
  • A one-page cheat sheet: what may go in, what only when anonymised, what never
  • One team agreement on paper and a personal action plan
Outline programme
  1. What an AI assistant is, and what it is not
  2. Giving a good instruction with the instruction card
  3. Working safely: what may go in, what never
  4. From one-off questions to fixed ways of working
  5. Practice on your own work, and agreements from Monday onwards

See the full day programme

Working safely with AI and sensitive data

After this morning you will know, for every document on your desk, whether it may go into the AI, and what to do if something goes wrong anyway.

Who it is for
Everyone who works with data about customers, clients, pupils or staff: HR, finance, customer service, secretariat, care and education
Duration
Half a day (3.5 hours)
Group
6 to 14 participants
Prior knowledge
None. Can be taken on its own or as a follow-on to training 1

What you take away

  • A personal traffic light: your own document types in green, amber and red, with the anonymisation step for each amber type
  • One of your own documents, anonymised and tested in your own AI environment
  • A leak card: whom you call, and within what time, if something goes wrong
  • For the team: a one-page draft guideline, ready to put to your manager and data protection officer
Outline programme
  1. Where does your text go? Business or personal account, and what EU hosting, a data processing agreement and "no training on your data" mean
  2. May this go in? Sorting your own documents
  3. Anonymising in practice: could a colleague still identify the person?
  4. If it goes wrong anyway: the first three steps
  5. Your traffic light and the guideline for the team

Back to the ladder

Medium

Rung 2

From prompt to workflow

From one-off questions to AI to two fixed ways of working that you use every week. And you can show what they deliver.

Who it is for
Those who already use AI and keep retyping the same instruction: sales support, planning, policy, HR, quality, communications, project managers
Duration
Two half-day sessions, four weeks apart. In between, about ten minutes a week for a log
Group
6 to 12 participants, 14 at most
Prior knowledge
Training 1 or equivalent, and at least two weeks' experience with a business AI environment

What you take away

  • Two working workflows, saved in your own AI environment and tested on real cases
  • A log of four weeks' use
  • Your own measurement of time and quality, each compared separately with the baseline
  • For the team: a shared collection of workflows that a colleague can use without explanation
Outline programme
  1. The difference between a one-off question, a fixed way of working and an agent
  2. Which task deserves a fixed way of working, and how long does it take now?
  3. Breaking the task into steps, each with a fixed instruction and a check
  4. Building and testing in your own environment. A colleague runs it without explanation
  5. Four weeks later: measuring, improving, and which tool (Copilot, ChatGPT or Claude) suits which purpose best

AI in the supply chain: from order to delivery

By the end of the day your own process is on paper. You know where AI saves time and where it improves quality, and you have tested two applications on your own work.

Who it is for
Planners, sales support, order processing, quality and work preparation. In two variants: horticulture and logistics, or manufacturing
Duration
One day
Group
6 to 14 participants, preferably from two or three links in the same chain
Prior knowledge
You can give an instruction to an AI assistant. Training 1 is recommended

What you take away

  • An opportunity map of your own process, with time savings and quality gains assessed separately
  • Two worked-out applications, tested on at least two examples and with a fixed checkpoint
  • For the team: a chain agreement on who checks what before anything enters the chain
Outline programme
  1. What AI can and cannot do in the chain, on orders, delivery notes, specifications and customer emails
  2. Drawing your own link: where are the retyping, searching and waiting?
  3. Placing opportunities on the automation ladder and scoring them
  4. Making your own data safe and working out two opportunities
  5. Comparing the opportunities side by side and making a chain agreement
Medium to master

Your first agent (without programming)

After two days you have one agent that carries out a real task from your work, checked against ten test cases. With an agent card that your IT department can use to assess it.

Who it is for
Knowledge workers and key users who already work with fixed workflows: policy, planning, purchasing, customer service, quality, application management
Duration
Two days, with a two-week trial period in between
Group
8 participants at most, or 10 if you work in pairs
Prior knowledge
Training 3 or equivalent: you have already built and used a reusable workflow

What you take away

  • One working, tested agent, per person or per pair
  • A completed agent canvas: goal, sources, permissions, checkpoints and when it stops
  • A test set of ten cases, with the results of two rounds
  • A one-page agent card, so that your IT department can give a go or no-go
Outline programme
  1. Chatbot, fixed automation or agent: the difference, on your own task
  2. Filling in the agent canvas and building the agent in the environment you have
  3. Catch the agent out: recognising hidden instructions in a document or email
  4. Limits and approval points: where is a human still needed?
  5. Two weeks of trial running, then evaluating with the test set and handing over

Not a programming course and not an agent that does everything. One task, one agent, thoroughly tested.

Back to the ladder

Master

Rung 3

AI champions programme

From good user to the colleague who helps others along. After six weeks, every department has someone who keeps track of opportunities, has run a session themselves and knows when to escalate.

Who it is for
One or two employees per department who already use AI well. No IT background needed
Duration
Six weeks: six half-day sessions, plus three short online peer reviews
Group
8 participants at most
Prior knowledge
Training 1 or equivalent. Trainings 3 and 5 are included at a faster pace

What you take away

  • A list of at least eight opportunities in your department, ranked by impact and feasibility
  • One short session for colleagues, run by you
  • Contributions to a shared collection of tested instructions, each with an owner and a check
  • A working fixed workflow and a tested first agent
  • For the organisation: a champions charter with mandate, time and escalation route, signed by the sponsor
Outline programme
  1. The champion's role: guide for colleagues, collector of opportunities, keeper of the shared instructions
  2. At a faster pace: from instruction to fixed workflow, and a first agent
  3. Gathering opportunities from colleagues and prioritising them, including what you deliberately do not do
  4. Coaching colleagues, dealing with resistance and running a session yourself
  5. Harvest, charter and follow-up measurement

Back to the ladder

Technical track

Separate from the ladder
Master · technical

Agentic engineering with Claude Code and MCP

In three days, from "AI completes my code" to a controlled way of working with an agent on your own repository. With an MCP integration you build yourself and a review checklist your team uses afterwards.

Who it is for
Developers, IT operations and data engineers who maintain scripts and pipelines
Duration
Three days. The third day follows two to three weeks later
Group
8 participants at most
Prior knowledge
Git, the terminal, one programming language and a repository with write access. Training 1 is not required

What you take away

  • Your own MCP integration: an existing server connected and one server you build yourself
  • A configured agent on your own repository: instruction file, skill, subagent, hook and permission profile
  • An evaluation set of at least eight test cases
  • A review checklist for code written by an agent
  • For the team: a working agreement for the agent: what it may do, who reviews, what never
Outline programme
  1. Plan, build, test, review: the plan is approved before the first change
  2. Instructions, skills and subagents, and permissions with the fewest possible rights
  3. Hooks and MCP: connecting existing servers and building one yourself
  4. Security: secrets, hidden instructions in tool output, and logging
  5. Follow-up day: evaluation sets, AI during development or in production, and the same principles in other tools

Back to the ladder

03 — For managers, executives and boards

Rung 4: management

You do not need to learn to build. You do need to learn to steer.

Managers and board members must be able to make decisions and account for them. These three trainings are working sessions: you go home with agreements, a plan and decisions, based on your own organisation.

Management

Rung 4

Leading a team that uses AI

You go home with agreements your team can read tomorrow, a plan for the next 90 days and the words for the most difficult conversations. Without having to become an AI expert yourself.

Who it is for
Team leaders, heads of department and middle management. No technical background needed
Duration
One day
Group
14 participants at most
Prior knowledge
None. You get the most out of it if your team has already taken training 1

What you take away

  • Draft team agreements on one A4 page, ready to discuss with your team
  • A 90-day plan with an owner, a measure and a first step within five working days
  • A conversation card for one difficult conversation, practised in a role play
  • One AI task from your own work as a manager, carried out and checked by you
Outline programme
  1. What your team is already doing, including out of sight, and how to talk about it without assigning blame
  2. Hands on yourself: one task from your own work
  3. Safeguarding quality as work speeds up: who checks what
  4. Measuring without looking over shoulders, and using freed-up time deliberately
  5. Resistance and concerns about jobs: practising the conversation

AI direction for executives and boards

After one day your executive team knows what AI does and does not do in your sector, which three things you will do first, who will lead them and when you continue or stop. After 90 days you check whether it held true.

Who it is for
Executives, management team, non-executive directors and supervisory board members. In the public sector: senior management and board
Duration
One day, plus a half-day follow-up session after 90 days
Group
4 to 10 participants, preferably from one organisation
Prior knowledge
None

What you take away

  • An AI roadmap on one A4 page: three priorities, each with an owner, KPI, baseline and a moment to continue or stop
  • A list of what you deliberately do not do
  • A responsibility map: who is accountable for what
  • After the follow-up session: an updated roadmap
Outline programme
  1. Hype and reality: typing yourself, and demonstrations from your own sector
  2. Your core processes on the automation ladder
  3. Buy, build or train people
  4. Risk and executive accountability: the EU AI Act, the GDPR and, where relevant, NIS2
  5. Baseline, KPI and decision point. After 90 days: measured against expected
Management and master

AI policy and register in one day

By the end of the day there is a populated draft AI register, a draft acceptable use policy and an AI literacy plan. Made by the people who will maintain them afterwards.

Who it is for
Executives or management team as owner, with privacy, IT and information security, quality and possibly HR
Duration
One day
Group
4 to 10 participants, preferably from one organisation
Prior knowledge
No technical knowledge required

What you take away

  • A draft AI register with at least eight applications filled in
  • A draft acceptable use policy, adapted to your organisation
  • An AI literacy plan per job group, including how you make it demonstrable
  • An assessment of at least two suppliers, and a quick scan of one application
  • An action list for 30, 60 and 90 days, with owners
Outline programme
  1. The EU AI Act in twenty minutes: roles, risk categories and AI literacy
  2. Mapping what is already in use, without it feeling like an inspection
  3. Filling in the register and assessing suppliers: pointing to evidence rather than assuming
  4. Quick scan: is a full DPIA needed?
  5. Tailored policy, the literacy plan and the action list

A practical start, not a legal opinion. You mark borderline cases for your lawyer or data protection officer. We do not issue any statement that your organisation meets any requirement.

04 — How we work in every training

Six fixed commitments

Whichever training you choose, this is always included.

A training only works if you do something with it tomorrow. That is why all ten trainings work in the same way.

01

Your own work

You practise on your own tasks and documents, anonymised. How to do that, you learn in the training itself.

02

Mostly hands-on

At most a quarter of the time is explanation. The rest is practising, building and reviewing each other's work.

03

Baseline and follow-up measurement

At the start you record where you stand. At the end you look again, and for trainings with an interval also weeks later. That way you see what has changed.

04

Small groups

So that the trainer can look over everyone's shoulder. For the advanced trainings, that means eight participants at most.

05

Vendor-neutral, in your own environment

You work in the AI environment your organisation has approved, such as Copilot, ChatGPT or Claude. Never with work data in a personal account.

06

Record of participation with topics

Every participant receives a record of participation listing the topics covered. Not a certificate, but a concrete overview.

Back to the ladder

Technical training 7 works with Claude Code. On the follow-up day you see how the same principles work in other tools.

AI literacy and the EU AI Act

Article 4 of the EU AI Act asks organisations to take measures that support the AI literacy of their staff. The Act does not prescribe a certificate or a fixed number of hours.

The record of participation with the topics covered helps you demonstrate what you have done. If you want to arrange this per job group, training 10 will help you get started.

Practical details

Format
In-company, at your premises, with your own team or with colleagues from one organisation.
Language
We deliver the trainings in Dutch or in English.
Your own work
Beforehand you choose tasks or documents to practise on. How to anonymise them is explained in the preparation email.
AI environment
Approved and working for all participants, with the right permissions. We arrange this together during the intake.
Combining
Trainings can be taken separately and combine well, for example training 1 for the team and training 8 for the manager.
Intake
A short conversation beforehand: which people, which environment, which guidelines of your own already exist, and what must be demonstrable afterwards.

Which training suits your organisation?

In a half-hour intake we look at where your people stand and which step will deliver the most. Sometimes that is one training, sometimes a combination.

Schedule an intake