Process automation
We automate emails, administrative tasks, invoicing, delivery notes, orders, notifications, bookings, reporting, operations, and data synchronization.
Processes that run without manual intervention, with monitoring and alerts when something fails.
Many businesses spend hours on tasks that could run on their own: copying data between tools, sending emails, generating reports, reviewing documents. Not because they're hard — because nobody has automated them yet.
What we analyze
- Automatic emails and notifications
- Invoicing and delivery notes
- Orders and bookings
- Reporting and operations
- Data synchronization between systems
- Recurring administrative tasks
How it works
We start with the process, not the tool. We document every step, identify the rules that govern it and the data it needs. Only then do we decide how to automate it: a script, connecting two systems by API, or a more elaborate workflow if several decisions are chained together.
Conventional automation vs AI
A process doesn't need AI just because AI can be used. We first check whether the problem has clear rules and structured data — in that case, code and APIs are faster, cheaper, and more predictable than a model. AI comes in when the process requires interpreting language, images, or variable context.
- Rules — when the process follows fixed, known logic
- Code — when the solution is a program that executes that logic
- APIs — when the work is moving data between systems
- Workflows — when there are several chained steps and decisions
- AI — when text, images, or context need interpreting
- Combination — most real projects mix several of these
What systems we can connect
In general, we work with any system that exposes an API, a database, or a standard export format.
- ERPs and management systems
- CRMs and sales tools
- Email and Google Workspace / Microsoft 365
- Spreadsheets and databases
- External platforms (bookings, payments, logistics)
- Existing internal tools
Examples
- Follow-up emails sent automatically
- Invoices generated from closed orders
- Notifications when a process stalls or takes too long
- Booking synchronization between platforms
- Weekly reporting generated without manual work
- Document management that classifies and files itself
- Internal operations that today depend on a spreadsheet
When it makes sense
If a process eats up hours weekly, has clear rules, and the data is accessible.
When it doesn't
When the process requires constant human judgment or changes every time it runs.
How a project starts
Most automation projects start with a short audit of the specific process. If you already know exactly what you want to automate, we can go straight to designing the solution.