We make it easier and faster, with AI automation and systems that guide people through the work.
First 30 minutes are on us.
Be honest
It stays in your browser. If you book a call, it goes into the booking notes, so we can start right there.
Every one of them, and every decision in there was still made by a person.
Examples
Twelve situations we keep hearing about, in three sizes of company. Every one of them is buildable. And in every one, the part that matters stays with a person.
A machine builder with sixty people gets an enquiry. The offer takes two weeks, because whoever writes it first digs out the last five similar ones and asks production about lead times.
Now: the next morning a draft is waiting, built from the enquiry and the closest earlier offers, with the open points marked. The offer goes out in two days.
What stays humanThe price, the terms, and the first sentence the customer reads.
Read the full exampleA consumer brand has forty agencies producing in its name and an eighty-page manual that, honestly, nobody outside the building has read. So marketing checks every campaign by eye, for days.
Now: everything made in the brand's name goes through one check before release. It flags what is off and shows the rule, down to the paragraph. Days become an hour.
What stays humanWhat the brand stands for, and every call the manual doesn't cover.
She writes a newsletter her readers actually like. It goes out every few months instead of every few weeks, because the ideas come on long drives and are gone when she sits down.
Now: she speaks an idea into her phone, it lands sorted in her Notion, in her own words. With an hour to write, she picks one and the system asks her a few questions about it.
What stays humanEvery word a reader sees. It never writes a line that leaves the house.
An engineering firm with forty people gets tenders of two hundred pages. Deciding whether to bid costs a senior engineer two days, so most of them go unanswered.
Now: every tender comes back the same morning as a two-page summary. What is asked, what rules us out, and when it is due.
What stays humanThe decision to bid, and the bid itself.
Every new customer sends a security questionnaire with three hundred questions, and it gets answered from scratch each time. Legal, IT and sales lose a week on every one.
Now: the questionnaire is filled from the last fifty answers and the current policies. Only the questions nobody has answered before stay open.
What stays humanEvery answer that is a promise.
A care service with ninety people. The documentation is a legal duty, and it gets written after the last visit, from memory, when everyone is tired.
Now: staff speak their notes in the car between two visits. They come back as structured documentation in the required form, ready to check.
What stays humanThe assessment of the patient, and the signature.
Eighty conversations at the fair, eighty business cards on a desk. Two weeks later nobody has written to anyone, and the ones who were interested have probably forgotten.
Now: from the notes on each card, a follow-up is drafted in the tone of the person who had the conversation. Sales reads it, changes a line, sends it.
What stays humanEvery send, and who gets a call instead.
Several hundred supplier contracts sit in shared drives. Nobody knows which ones renew automatically and when, so they renew, at the old price.
Now: every contract is read once. Terms, notice periods and renewal dates land in one list, and a reminder goes out ninety days before each one.
What stays humanWhether to cancel, renew or renegotiate.
Twelve happy clients this year and one testimonial on the website, because asking always came at the wrong moment.
Now: two weeks after the last session, a short request is drafted in her words, with the three things the client said they got out of it. She sends it or she doesn't.
What stays humanThe ask itself, and which quotes go public.
Every month the controller pulls numbers from four systems into one spreadsheet. Three days go into collecting them, half a day into actually thinking about them.
Now: the numbers are collected and laid out on the first of the month, with the deviations already marked. The three days become the half day.
What stays humanWhat the numbers mean, and what to do about them.
After twenty-two years she retires, and for a year afterwards her colleagues keep asking the same questions she used to answer in a minute.
Now: the system has read her tickets, her mails and her documents. Ask it how something was done, and it answers with the source next to it.
What stays humanDeciding whether the old answer is still the right one.
One advert brings two hundred applications. HR needs three weeks to get through them, and by then the good candidates have signed elsewhere.
Now: every application is matched against the actual requirements, on your own servers, with the reasons written out. HR sees a sorted list the next morning.
What stays humanWho gets invited, and every conversation after that.
How we work
The order matters. Without the first step, every estimate for the second one is a guess. And the third step is probably why it's still running a year later.
It starts with a conversation. Thirty minutes on where the work falls behind and whether it's worth touching at all. If it is, we go through your business and its processes properly. Then we come back with what to build, what it takes, and what we'd leave alone.
The analysis is credited in full against the build.
On your infrastructure, with the people who actually do the work involved before anything gets built. A first version running in weeks, not quarters.
Systems change, inputs change, models change. And the first version is never the best one. So we keep what's running running, and we make it a little better every month. Usually the second process comes out of that. Then the third.
About us
One founder, and a circle of AI freelancers we bring in when a build needs more hands than one.
The work worth automating is the work someone already does by hand. Badly, reluctantly, not often enough. That reluctance is the proof. Nobody hates a task that doesn't matter. So we don't go looking for things AI could do. We go looking for the things you already know you should be doing and keep not doing.
The part that matters stays with a person. We've seen what happens when it doesn't. Someone's personal messages turned into machine-written welcome posts. A brand's voice flattened into everybody's voice. So in every build there is a line the machine doesn't cross, and we draw it before we write a line of code. The system carries the work to a person. It doesn't replace them.
It runs on your ground. Your server, your accounts, your AI subscription. If we disappeared tomorrow, everything would keep running and you'd have the keys. That's also why we can say honestly what leaves your building and what doesn't.
Small first, and we say the number early. The thing is, most of these projects don't fail on the technology. They fail on the size of the first step. So the first version is deliberately small. The price comes up in the first conversation, not in a proposal two weeks later. And before we build something big, we look together at whether that's the place where it pays off most.
So
Thirty minutes, and you know whether it's worth touching. First 30 minutes are on us.
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