Processes across systems
We connect systems. We cut manual steps.
Example flow
The same data, two ways to get it there.
The datacustomer, items, delivery
Today, by hand
- Emailenter
- ERPretype
- CRMexport and re-import
- Invoicing
With the integration
- Emailread by AI checks the exceptions
- ERPsynchronised
- CRMupdated
- Invoicing
Our approach
We start from the systems you already use.
An integration
Connects two systems through their interfaces, so data moves on its own.
An automation
Runs the repetitive steps: updates, alerts between departments, reports.
A dedicated service
When you need logic of your own, a small piece of software in the middle.
AI comes in when unstructured information needs interpreting: emails, documents, free text.
Where we start
Three questions to find the steps that can go.
01
Which information is copied more than once?
02
Where does a spreadsheet appear because a connection is missing?
03
Which steps depend on someone remembering them?
Integration, synchronisation, automation: what is the difference?
An integration connects two systems: data entered in one reaches the other. Synchronisation keeps them aligned over time, for example customer records or order status. An automation runs a sequence of steps, such as updating a system and notifying a department.
How do you check whether a system can be connected?
We look at what it offers: documented interfaces (APIs), exports, database access. Not all software allows it in the same way: we check it at the start on a concrete flow, before committing to a result.
What if a system has no interfaces?
We look at alternatives, such as automated exports and imports or a small intermediate service. If the connection would not be sustainable over time, we say so before building it.
What do we need to start?
The list of systems involved, an example of the data moving between them and who copies it today. To connect them we need test access and, where it exists, the interface documentation.
Further reading

Qwote