We find the process worth doing
A session on where the hours actually go, which usually turns up something that was not on anyone's list.
The expensive step, not the loud one
Service
AI automation, judged on whether the work actually got easier
We take one process your team runs by hand every week, work out where it actually breaks, and build the system that runs it. Your people keep the judgement. The system takes the repetition.
In short
An AI automation agency designs and builds the systems that carry work between the software a business already runs. The useful version is narrow: one process, one clear outcome, connected to the tools already in use, with a person reviewing anything the system is unsure about. The work is mostly plumbing and judgement rather than models, which is why picking the right process matters more than picking the right technology.
Works with the systems you already run
n8n
Claude
Airtable
Slack
Google Drive
HubSpotThe problem
Everyone has an AI pilot. Almost nobody has an AI process
The pattern repeats. Someone runs a trial, it demos well, a slide gets shown to the board, and six months later the team is still doing the work the way they always did. The pilot was never wired into anything. It sat beside the process instead of inside it.
The version that sticks is much less exciting. You pick one job that happens every week, that follows roughly the same steps each time, and that somebody currently does by hand. You build that one properly, into the systems people already have open. Then you do the next one.
It breaks in four places, and the people doing it feel every one.
- 01Picking the wrong thing
The process chosen is the interesting one, not the expensive one
The one that gets picked is usually the one that sounds impressive in a meeting. The one worth doing is the dull, high-volume job that three people spend two days a week on and nobody wants to talk about.
- 02Building beside the work
The system lives somewhere the team never goes
A new dashboard, a new login, a new tab nobody opens. If the output does not land in the place people already work, they will keep doing it the old way and be right to.
- 03No agreed finish line
Nobody wrote down what working means
Without a number agreed at the start, the project is judged on impressions. It gets called a success or a failure depending on who is in the room, and either way nobody learns anything.
- 04The handover that never happens
It runs until the person who understood it leaves
Built in an agency account, undocumented, with one contractor holding the whole thing in their head. The moment they move on, it becomes a risk instead of an asset.
What changes
The same week, run differently
How it runs nowHow it runs after
A pilot that demos well and never reaches the team.
One process running inside the tools your team already uses.
Success is decided by opinion at the end.
The number that counts as working is agreed in writing at the start.
The build sits in someone else's account.
It sits in yours, documented, and runs without us.
Growth means another hire.
Growth means more volume through the same process.
What we build
What we actually do
We build it into your existing tools
The output lands in the system your team already has open, so there is no new habit to form.
No new screen to learn
We put a person on the exceptions
Anything the system is unsure about waits for one of your team rather than deciding on its own.
Your records stay trustworthy
We hand it over properly
Documented, running in your own accounts, so it does not depend on us or on one contractor.
It survives the handover
Proof
1,200+reports a year produced automatically, from photographs and PDFs that used to be read by handReserveStudy.com, in production. Roughly 85% less time per report.
That build is the shape most of our work takes. Something arrives that a person used to read, the system works out what it is and what matters in it, checks itself, and writes the result into the software the team already uses. Anything it is unsure about waits for a person.
Read how ReserveStudy.com automated report productionHow it works
From first call to running system
- 01
We look at the week, not the wish list
A short session on where the hours actually go. Usually the answer is not the process anyone expected, which is the point of looking.
- 02
We agree what working means
One process, one measurable outcome, written down. If we cannot express it as a number you would recognise, it is not ready to build.
- 03
We build it where the work happens
Into your existing systems, so the output turns up where your team is already looking. No new screen to learn.
- 04
We run it beside your team, then hand it over
A period in parallel with the manual process to see where they disagree, then documentation, a handover call and your accounts holding the keys.
Confidence & control
What happens when the system is unsure
- One process at a time
- We would rather finish one thing than start four. A second process is a second piece of work, and saying that out loud is what keeps the first one honest.
- Nothing decides on its own
- Anything the system is not confident about stops and waits for one of your people. Automation without a review step is how firms lose trust in their own records.
- Your environment if you want it
- It can run entirely inside systems you control, so nothing has to leave. Access is limited to people you name and there is a record of what ran and when.
- You own it when we leave
- It is built inside your own accounts and your own cloud. If you never speak to us again it keeps running, and another team could pick it up. You are not renting your own process back from us.
Scope
What an engagement covers
Included
- A working session on where the hours go and which process to take first
- A written definition of the outcome, agreed before the build
- The build itself, inside the systems you already run
- A review step for anything the system is unsure about
- Written documentation and a handover call
- Thirty days of support after go-live
Not included
- A transformation programme. We do one process well and then talk about the next one.
- Replacing software you already run. We connect to it.
- Headcount reduction plans. That is not what these systems are for and not what we sell.
- Any promise about accuracy or savings made before we have seen your real data.
Scope, timeline and price are agreed after a short call, never before. We write down what the system has to do, and what it costs, before any build starts.
Questions
Frequently asked
How is this different from hiring a consultancy?
A consultancy usually hands you a recommendation. We hand you a running system inside your own accounts, plus the documentation to keep it going. The deliverable is the thing working, not the deck about the thing.
We do not know which process to automate. Is that a problem?
It is the normal starting point and it is the part we are useful for. Most firms pick the interesting process rather than the expensive one. A session looking at where the hours actually go usually surfaces something nobody had on the list.
Will this replace people on our team?
Not in the engagements we take. What goes away is the reading, the keying, the chasing and the checking. What is left is judgement and the client relationship, which is the work those people were hired for and are better at.
What if it does not work?
We agree what working means in writing before the build, on your data. If it does not clear that bar, it has not been delivered. That is why the definition comes first rather than at the end.
Do we need technical people on our side?
You need someone who knows how the process currently works and can answer questions about the edge cases. You do not need anyone technical. We handle the building and hand it over documented.
What does it cost?
Every engagement is priced to its own scope, so there is no list price. After a short discovery call we agree in writing what the system has to do and what it costs, before any build starts.
Related
Other things we build
Bring us the workflow that keeps eating your team's week.
Let's find the first one to fix.
The audit is free. If we can't find automation worth more than it costs to build, you owe us nothing, and you keep the roadmap.
Prefer email? info@chronexa.io
Or tell us what's slow
We'll review your workflows and come back with where AI saves the most time and cost.