Train your team.
You and your team learn to work with AI. Not with a one-day course, but in your own work. Admin falls away, customer contact takes centre stage.
In short
The tool is the easy part.
Anyone can prompt. The difference is in who does it every day, with the right context and with enthusiasm.
Consistency
Fixed routines instead of loose experiments.
Context
Your team works with your data, not with generic examples.
Buy-in
We start with whoever is least keen. Once they are on board, everyone is.
Everyone learns in their own work.
Sales
- Who do I call today, and why?
- Prepare a conversation in five minutes
- The report lands in your CRM by itself
Marketing
- Posts and campaigns from one source
- Every reaction becomes a signal
- Copy in your own tone
Business owner
- Read the dashboard in ten minutes
- Uphold the working agreements
- Know where the time goes
Six weeks, then it runs by itself.
Who does what today, and where does the time go?
On your own cases, with your own data.
What AI does, what people do. On paper.
Alongside your team, on the job. Then one check per month.
Karst teaches your team to work with AI.
Karst Vereecken
Karst works next to your team, with your own cases and your own data. He starts with whoever is least keen, and stays until it runs by itself.
- AI training for teams
- Prompts and templates in your tone
- Working agreements between AI and people
What lands on the table.
- Working agreements between AI and people, on paper
- Prompts and templates in your tone
- Workshops on your own cases
- One point of contact per team
- A yardstick: hours of admin gone, hours of customer contact gained
- One check per month after the six weeks
What customers ask us.
1Is this a one-day course?
No. We work in your own work, with your own cases, until it runs by itself.
2Which AI tools do we learn?
The tools your team already has or that fit your data. It is not about the tool, but about the routine: who does what, every day.
3What if someone in the team is not keen?
That is where we start. Once that colleague is on board, everyone is.
4What is the result?
Less admin and more customer contact. And fixed working agreements about what AI does and what people do.
5Do steps 1 and 2 need to be finished first?
Preferably, yes. Without clean data, AI works with generic examples instead of with your customers.
Now step 4: turn media into customers.
Each step builds on the previous one. You do not have to start at step 1.