AI Automation Agency
Automation that reaches production and stays there.
A week finding where the hours actually go, then the systems that take them back - inside the tools you already run.
40+ systems in production
Running inside teams like these
Building since 2023
200
+
Systems in production — live automations running inside client tools today.
200
Days to first launch — from kickoff to the first system running on your real data.
Senior team only
Berlin · EU + US
200
+
Hours automated — manual work handed over to systems across our client base.
200
%
Human sign-off — nothing irreversible happens without a person saying so.
Documented and handed over
Runs in your tools
Automations live inside the stack you already use — nothing new to install or learn.
A human in the loop
Every system has a sign-off. Nothing irreversible happens without approval.
Live in 21 days
From kickoff to the first system running on your real data — weeks, not quarters.
No lock-in, ever
Documented and handed over. Stop whenever you like — you keep everything we built.
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/ 003 /
Process
How the work goes. You are in each step.
The plan is not the deliverable — the running system is. Every step here exists to get you to something your team can actually own.
001
Audit
A week inside your actual workflow — the tools, the handoffs, the things people do twice. You get a written map of where the hours go and which of them are worth automating.
What this includes
Workflow mapping
Tool inventory
Time study
Written findings
002
Blueprint
003
Build
004
Handover
Selected work
01 — 05
2025
8 hours a week
20 minutes
Invoice triage that runs itself
Document AI
Workflow
01 / 04
Verity Works
−96%
Report time
18 hrs
Returned weekly
“
The shift report was the thing nobody wanted to do. It writes itself now, and I have not thought about it since March.
Marius Feld
Operations Director
Alder Health
1 hr
Intake turnaround
100%
Human reviewed
“
They spent the first week just watching how we actually work. Every proposal after that was about something real.
Sofia Brandt
Head of Practice
9
/10
Second system, returned
5
×
Hours returned per hour
31
mo
Longest client, ongoing
48
hrs
Go-live to first saving
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The difference
Two ways this goes. We have seen both.
Five things that go wrong with automation projects, and what we do instead. Most of them cost less to avoid than to fix.
Audit before we build
Every engagement opens with a written plan of what will run and what it replaces.
Straight to the builder
You talk to the person writing the automation, not to a manager relaying it.
Watched after launch
Studio adds monitoring and monthly reviews, catching drift before it reaches your data.
Switch or stop any month
Move between plans or pause when the queue is empty. Nothing is locked to a year.
We do not know what to automate yet. Is that a problem?
No, that is the first week. The audit sits inside your actual workflow, counts where the hours go, and comes back as a written map of what is worth automating and what is not. Plenty of clients stop there and keep the map.
How long until something is actually running?
What does it cost to find out if this is worth doing?
Who owns the system when it is finished?
What happens when the model gets something wrong?
What if we want to stop?
Do we have to change the tools we already use?
What do you need from our team while it is being built?
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Contact
Tell us what hurts. We will go and time it.
Send the shape of the problem, not a specification. The reply comes from the person who would run the audit.
A reply within one working day
The person who would run the audit answers, not a form handler.
A call about one workflow
Thirty minutes. We look at it together and say whether it is worth automating.
For anything that needs a answer.
Phone
During EU and US working hours.
Berlin
Prinzessinnenstrasse 20, 10969 Berlin
New York
195 Broadway, New York, NY 10007