AI consulting for mid-sized companies
We tell you where artificial intelligence saves money in your business, and where it doesn't. Then we build it. Without a sixty-slide deck in between.
✓ Honest assessment before the quote · Implementation included, not just advice
The problem with most AI consulting
Plenty of strategy, very little that works on Monday.
The usual sequence: a workshop, a roadmap, a list of "use cases" and a proposal for the next phase. At the end the company has a document and not one task fewer.
We work the other way round. The first conversation isn't about artificial intelligence, it's about your Tuesday: who does what by hand, how long it takes, how often it happens. That produces a list with hours and costs attached. Only then do we look at what AI can solve.
Sometimes the answer is that it isn't worth the effort. We say so — it's the fastest way to build trust and the only one we can live with long term.
What the engagement covers
Four clearly separated steps.
1. Audit
Conversations with the people who actually do the work. Not just management: the hours live in the back office.
2. Ranking
Every task gets hours, cost and a build estimate. That produces an order based on impact, not on novelty.
3. Build
We build what came out on top, in n8n, with AI where it actually contributes. You sign off each delivery in production.
4. Handover and support
Documentation, training for your team and ongoing monitoring. You don't end up dependent on us.
What we bring to it
We advise on something we run ourselves.
With AI Shop Helper we run our own AI product: ten agents that write, optimise and maintain product catalogues for online stores. Over 20,000 product descriptions in thirty minutes for a single client — running in production every day, with everything that can go wrong along the way.
On top of that, fifteen years of digital agency work and more than 200 projects. That experience is why we can tell you fairly quickly whether an idea holds up in practice or only in the slide deck.
What the audit actually produces
Not a deck. A document you can work from.
At the end you get a table with one row per recurring task. Per row: who does it, how often, how long it takes, what it costs per year, how much effort automating it would be, what share could realistically be taken off and what stays with a person.
Plus a ranking by saving against effort, and for the top three a description of what the solution would look like and which system access we'd need.
- What you won't get: a market overview of AI vendors.
- What you won't get: a maturity score for your organisation on a scale of one to five.
- What you won't get: a recommendation to buy a tool we earn commission on. We don't take partner fees.
The reason is simple: none of that changes anything on Monday. The list of hours does, if only because it's the first time anyone has put it on the table.
Three questions we always ask
They sound trivial. They decide the whole project.
"What happens if this task sits for a week?" The answer separates urgent from important. Some tasks cost many hours and can wait; others cost minutes and block half the business. What should be automated first is whatever is both.
"Who notices when the output is wrong?" If there's no answer, the process isn't ready to be automated. A flow with no check doesn't get better when you automate it — it just gets wrong faster.
"What was the last exception?" This one surfaces the edge cases that appear in no process document and that every automation eventually snags on. We ask it in every conversation, and in every conversation something comes up that nobody had mentioned.
Most of the time in a good audit doesn't go into what AI can do. It goes into how your company actually works. The first is on the internet. The second only your team knows.
Frequently asked questions
How long does the audit take?
Usually one to two weeks, depending on how many areas are involved and how quickly we can talk to the right people.
Do we need an IT department?
No. Most of our clients don't have one. We work with what's there and hand over in a way that doesn't need specialist knowledge to operate.
What if we already use AI tools?
All the better. The audit then starts with what's actually being used. Very often there are licences being paid for that almost nobody opens — that's the first saving, before we build anything.
Are we too small for this?
If several hours a week go into the same repeated actions, the conversation is worth having. If not, we'll tell you inside the same thirty minutes.
Let's talk about your processes
Thirty minutes, no commitment, no jargon. You'll leave knowing whether AI adds up for you.
Book a free call