AI automation for the work your team keeps doing twice
SMARTCREA builds AI automations and the small internal tools around them: the plumbing that moves data between your CRM, your inbox, your billing and the three spreadsheets nobody admits to keeping. Most projects run €5,500 to €25,000 excluding VAT and go live in two to four weeks. You own the code.
Free quote · no commitment · you own the code and every account
The problem
You already know which task it is
Every company has one. Someone opens two tabs, reads a number off the first, types it into the second, and does that a few dozen times a week.
It is rarely the big obvious job. That one has a process, an owner and a deadline, so it gets done. The expensive work is the small stuff: the quote nobody chased, the order confirmation retyped into the shipping tool, the weekly report someone rebuilds by hand every Monday because the export never quite matches the template.
None of it feels worth fixing on any given day. Added up over a quarter, it is a salary. And the misses are invisible, which is the worse half of the problem: nobody files a ticket to say a follow-up email never went out, because nobody knows it didn’t.
What we build
Four shapes this usually takes
Different jobs, same rule underneath: the machine prepares the work and you keep the decision.
Your tools, wired to each other
A quote request lands in your CRM already tagged, with the customer’s past orders attached and an owner assigned. Nobody copies anything across. Nobody has to remember.
Follow-ups that leave on time
A quote sitting unanswered for eight days. A customer who hasn’t reordered since spring. The message drafts itself in your wording and, if you prefer it that way, waits in a queue for someone to approve before it sends.
First drafts of the writing nobody wants
Product descriptions, spec sheets, replies to reviews, internal summaries. AI writes the draft, a person edits it, and nothing reaches a customer unread.
The screen the workflow needs
Some automations need somewhere to live: a queue an employee works through, an approval step, a view your ops manager checks on Monday. We build those in React and TypeScript, inside your repository.
What you get
Included in every engagement
No line item here is an upsell. If one of them is missing, the automation is a liability rather than an asset.
- A written map of every process we automate, with its trigger, its steps and what happens when it fails
- The automations themselves, connected to the tools you already pay for
- Any screens the workflow needs, built in React and TypeScript
- Human approval on anything that messages a customer, moves money or edits a record
- Logs you can read without calling us, so you can see what ran and what it changed
- A kill switch per workflow, and a manual fallback that still works while it is off
- 30 days of support after launch, and a reply within one business day
- The repository, the domain, the hosting and the analytics accounts, in your name from delivery day
Straight answer
When we tell you not to buy this
Automation sells easily. It does not always pay, and the cases where it doesn’t are usually visible before anyone writes code.
It is bad at judgment. If a task looks different on every run, rules will not hold it, and you will spend longer fixing the output than the work took you. Language models make that worse rather than better: they are confident when they are wrong, which is precisely the failure you cannot catch at volume.
It is also fragile in a way that surprises people. A vendor ships a new API version, a colleague renames a column in a sheet, and a workflow that ran quietly for four months stops running just as quietly. Someone at your company has to own that. If nobody will, keep doing the task by hand.
And sometimes the arithmetic simply fails. A job that runs twice a month and takes twenty minutes will never repay a five-figure build, however irritating it is. We would rather say that on the scoping call than after the invoice.
How an engagement runs
Measured before it is built
Four steps. The first one is the one most studios skip, and it is the one that decides whether the other three were worth paying for.
We watch you work
You walk us through the task while we time it. We write down where each piece of data starts, where it gets retyped, and who notices when it goes wrong.
We cut the list
Most of what you want automated should wait. We keep the workflows that run often and fail quietly, and we name the ones we would leave alone.
Build, then run both
Each workflow runs beside the manual process first, so you can compare them before you trust it. AI drafts the code. A senior engineer reviews every file.
Handover
Repository, credentials, logs and a short written guide, all in your name. Two to four weeks for a standard scope, four to eight for a larger custom build.
FAQ
What buyers ask us first
Where to go next
- Website designThe site itself, built so a form submission enters the workflow on day one.
- React developmentWhen the automation really needs an application, with accounts and permissions.
- Digital auditNot sure where the hours go? Start by measuring them.
- PricingWhat each type of project costs, and what moves the number.
Tell us which task you would automate first
Three sentences is enough: what the task is, how often it runs, which tools it touches. You get back a scope, a price and a timeline, written by the person who would build it. If we think it is not worth automating, you get that answer instead.
No commitment · we reply within one business day