Your Business Has Grown. Your Processes Need to Catch Up.
Most firms your size don't have an AI problem. They have five tools that don't talk to each other, knowledge that lives in people's heads, and work that gets done because someone remembers how. We map that first. Then we automate what's worth automating.
Most AI projects do not fail on the technology. They fail on the operation underneath.
The first two figures come from published third-party research, named above. The third is ours, and it is why we sell the diagnosis separately from the build.
Business operations first, AI second
We start with an AI Business Diagnostic: two weeks of looking at how work actually moves through your firm. Where handoffs stall. Where the same data gets typed twice. Where a person is the integration between two systems.
You get one document: the processes that leak time, quantified, and the order in which to fix them. Some of those fixes involve AI. Some are a form, a rule, or deleting a step. We tell you which is which before you spend anything on tooling.
Nobody chose the workarounds. They grew with the business.
Every one of these is invisible on a P&L. Together they're the reason your team is busy and your margin isn't moving.
We diagnose before we build
Diagnose → Transform → Optimize
The AI Business Diagnostic
You don't need to know which AI tools you need. That's exactly what the diagnostic works out.
One page from the AI Opportunity Map
This is the core table: every process that leaks time, what it costs per week, and the phase it belongs to. No dashboard, no maturity score out of ten.
Numbers above are an illustration of the format, not a result we are claiming. Your diagnostic reports your own measured hours.
Not software. An operating layer.
Three layers resting on each other. The bottom one has to hold before the top one is worth anything — which is the whole reason we start with a diagnostic.
Who this is for
- Service business, 10–50 people, US or Netherlands
- Grew faster than the processes did
- An owner or partner who can decide without a committee
- Willing to change how work is done, not just add a tool
- Looking for a chatbot on the website and nothing else
- Wants AI announced before it works
- Under five people — the processes are still in one head, and that's fine
- No appetite to touch existing ways of working
Measured in outcomes, not features
Nobody buys an automation. You buy a quote going out the same day. This is what we measure, against the baseline from the diagnostic.
It doesn't stop at go-live
A process nobody measures slides back to the old way within a quarter. Optimize is the phase that prevents that, and the phase where we make ourselves unnecessary.
The questions you ask before hiring an AI consultant
Start with the diagnostic, continue if it makes sense
Price depends on scope and is fixed before we start. No hourly billing, no open end.
Practical questions
Three tiers. The intake tells you which one fits.
One fixed price per tier, no hourly rate and no true-up. If the work turns out bigger than expected, that is our risk.
Phase 2 is priced only once the Map exists, because before that nobody knows what is needed. Optimize afterwards runs $2,000 to $8,000 a month and is cancellable per quarter. Prices in USD, excluding VAT; euro amounts indicative.
Two weeks. One document. Then you decide.
A 30-minute call to see whether the diagnostic is worth running. If it isn't, we'll tell you on the call.
New brand, no client cases yet. What we bring is hands-on operations, automation and SaaS implementation experience — and we'd rather say that than invent testimonials.