“We know AI matters. We do not know where to start.”
I identify the workflows and commercial opportunities where AI is likely to create meaningful value — and filter out the noise.
Less manual work.More time for your business.
I help replace manual workflows, simplify processes, and build better internal tools when it makes sense — so your team can save time and create more value.
More than 20 years of experienceExperience turning digital opportunities into measurable business results
Global impactBuilt international products with proven market adoption
From strategy to executionWorking across prioritisation, product, UX, automation and delivery
Most companies do not need “an AI strategy.”
They need clarity on where AI is worth using, what should be built, and how to get from an interesting demo to a workflow people will actually rely on.
“We have ideas, but nothing concrete has happened.”
I turn promising ideas into working solutions, internal tools and redesigned workflows quickly enough to test whether they deserve further investment.
“Business and technology are talking past each other.”
I translate commercial needs into practical product and software decisions — without losing sight of users, constraints or the business case.
Three ways I create value.
The engagement can be advisory, hands-on or both. I prefer concrete outcomes over long consulting engagements.
Find the opportunity
Work out where AI or better digital execution can materially improve the business before committing resources.
Build the proof
Move from discussion to something tangible: a prototype, internal tool, automation or customer-facing workflow.
Turn it into business
Connect the solution to real users, operations and commercial logic so it becomes more than a technical experiment.
Small steps.
Fast evidence.
I prefer to reduce uncertainty early. Instead of committing to a large programme, we identify the most important assumption and test it with the smallest credible piece of work.
Define the business problem
Clarify the workflow, user, constraint and economic value. AI is not automatically the answer.
Choose the smallest useful test
Decide what we need to learn and what can be built quickly enough to answer that question.
Build and put it in front of reality
Prototype the workflow, tool or product and test it against actual operating conditions and user needs.
Scale only what earns it
If the evidence is good, improve reliability, integration and adoption. If not, change direction before the sunk cost grows.
Martin Willer Tychsen.
My advice draws on more than 20 years of developing products, running businesses and making technology work in practice. That changes the questions I ask: Who uses it? What does it replace? Why is it better? What is it worth? How quickly can we test it?
Engineer (BEng), Manufacturing and Management · SDU
Experience in practice
SMS app with international success
BrowserTexting connected SMS on Android phones with the computer’s browser. A groundbreaking idea in 2011; today, it’s called iMessage.
My role: Frontend, UX and commercial responsibility.
Used in 200+ countries
App-based menu
Zerved let guests order and pay from their phones at restaurants and entertainment venues.
My role: Co-founder and CMO · Marketing, branding and UI/UX.
Parken · DR Concert Hall
Also used at Brøndby Stadium and in English theatres.
8 online shops across the Nordics
8 online shops across the Nordics selling study supplies, protective equipment, maintenance products and motorcycle gear (merger with a partner).
My role: Co-founder, with ongoing responsibility for operations and optimisation.
More than 180,000 happy customers.
SaaS platform for service businesses
KLEENbiz brings customer enquiries, customer communication and daily workflows together in one solution.
My role: Built the system with AI-assisted development.
Live production system
Tile-cleaning companies are the largest user group today. Also suitable for window cleaning, cleaning, weed control and wasp control.
Useful when your company needs judgement and execution in the same room.
Good fit
- Your company has a real business problem and suspects AI or software could solve it.
- Your team wants an independent sparring partner who can also prototype.
- Your team needs to move from a vague opportunity to a concrete next step.
- Your organisation cares more about business outcome than fashionable technology.
Probably not the right fit
- Your company mainly needs a generic keynote about what AI is.
- Your company already has a fully specified enterprise IT project needing a large delivery team.
- Your team wants AI added purely because competitors are talking about it.
- Your company wants a long strategy report without implementation responsibility.
A few useful answers.
Does your company need a defined AI project already?
No. In many cases the useful first step is determining whether AI belongs in the solution at all. A concrete business problem is more useful than a pre-selected technology.
Is the work strategic, technical, or both?
Both sides matter in my work. I can help frame the business case and product direction, but I also work hands-on with prototypes, automation and AI-assisted software development. The exact mix depends on the problem.
Do you work with existing teams?
Yes. I can work directly with founders or management, or bridge between business, product and technical teams when the challenge sits across those functions.
What size companies do you work with?
The work is most relevant when a company can move on good ideas: founder-led businesses, SMEs and teams inside larger organisations that need practical progress rather than a broad transformation programme.
Tell me where the business is stuck.
You do not need to know whether AI is the right answer. Send me your workflow, bottleneck, opportunity or idea. I can help determine whether there is something worth pursuing.