What we know how to build
The technology behind the automations, explained without jargon — what each one does, where it works well and where it does not.
Pick where to start
Document processing
Reads invoices, forms and PDFs and turns them into data
Nobody retypes documents any more
Orchestration
Coordinates the steps of a process across systems that know nothing of each other
The process finishes even when one system falls over
AI agents
Programs that hold a conversation and do something at the end of it
Every call and message gets answered, including at 10pm
API automation
Connects systems directly, through their official data interfaces
Data moves between systems without anyone copying it across
Robotic process automation
Operates older software exactly the way a person would
You automate even the systems never designed to allow it
Process discovery
Finds out how the work actually runs, not how the procedure says it does
You automate the real process, not the documented one
Data layer
The single place where your data is correct and can be asked questions
One number, not three versions in three spreadsheets
Low-code apps
The screen your team needs, built in days
Your team stops working in a spreadsheet sent round by email
Test automation
Checks by itself that your automations still do what they should
You hear that something broke from the system, not from a customer
AI governance
Rules and written traces for whatever a model decides on your behalf
You can answer why the system decided that, not only what it decided