Information gets retyped.
Data moves by hand from email to CRM and from form to spreadsheet. That costs time and creates errors.
Efficiency & execution
Automate the work nobody wants to do.
Retyping, copying between systems, answering the same questions again and again. I automate repetitive work with AI and connect your existing tools into workflows that run in a controlled, measurable way.
- Workflow automation
- Data processing & analysis
- Content pipelines
- Customer support AI
The starting point
Does this sound familiar?
The same questions, every week.
Customers and colleagues keep asking similar questions, while the answer already exists somewhere.
Handovers where work stalls.
A task waits until someone picks it up, passes it on, or checks it. Nobody sees where it is stuck.
Approach
How I approach it.
Understand the process first, then automate. Otherwise you automate the mess.
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01
Map the process
We map the current workflow: steps, systems, exceptions, and who decides what.
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02
Agree on control
Upfront, we define what good output looks like and where a person needs to review or decide.
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03
Build on your existing tools
I connect the systems you already use through APIs and workflow tools, with AI only where it adds something.
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04
Test, measure, hand over
The automation only goes live once it works in practice. With documentation, so your team knows what happens.
Result
What you take away.
- A working workflow automation
- Connections to your existing systems
- Agreements on human oversight
- Documentation and handover
Outcome Less manual work and fewer errors. More speed.
Frequently asked questions
Questions about AI automation.
Is your question not listed? Ask it directly in a short introduction.
Go to contactWhat is the difference between automation and AI automation?
Regular automation follows fixed rules. AI automation can also handle unstructured input, such as emails, documents, or free text: summarising, classifying, or drafting a reply. I only use AI where it adds something; sometimes a fixed rule is better.
Can this work with our existing tools?
That is usually the starting point. I examine the systems, data sources, APIs, and working agreements already in place and design the solution around them.
How do you stay in control of what the AI does?
We agree upfront what good output looks like, where source citations are required, and when a person must review or decide. I test those controls from the first pilot.
What does an automation cost?
Standalone implementation projects typically start at €2,000. The price depends on the number of systems, the exceptions, and the oversight required. You get a concrete estimate in the introduction.
One concrete bottleneck is enough
Which work do you never want to do by hand again?
Describe one recurring task. In the introduction, I look at whether and how it can be automated.