AI that takes work off your plate.
A clear division of labour
The AI reads and sorts. You decide.
The AI takes the reading and retyping off your team's hands. Every decision that matters stays with you.
What the AI takes over
Read & understand
Emails, PDFs and free text are read and understood in context, even when there's no form behind them.
Sort & classify
Invoice, enquiry, complaint or delivery note: every document ends up in the right category and the right process.
Prepare drafts
Suggested replies, quote drafts and summaries are ready and waiting when your team needs them.
Transfer data
Amounts, line items and contact details move from unstructured text straight into your systems. Nobody retypes anything.
What stays human
Set the rules
You define what the AI is allowed to do, where its limits are and at what level of uncertainty it asks a human.
Give approvals
Quotes, replies and bookings only go out once you have approved them.
Handle exceptions
Anything the AI can't classify with confidence goes to a named person. Nothing is silently discarded.
Keep the overview
Every step is logged. You can see at any time what the AI did and why.
How an AI workflow runs
Five steps, one traceable process.
An AI workflow runs in fixed steps. The AI only sits where text has to be read and understood – the rest are ordinary, defined process steps.
Intake
Emails, documents or forms arrive and start the workflow automatically, at night and on weekends too.
Understand
The AI reads the content, recognises the request and extracts the relevant data, from free text and scans too.
Check
Fixed rules validate the result. If the AI isn't confident enough, the case goes to a human.
Act
Data is transferred into the right system, drafts are created, replies prepared. Where it matters, they wait for your approval.
Log
Every step is documented: what was recognised, decided and executed. You and your auditors can look it up at any time.
Not every process needs all five steps in full depth. We often start with a single use case, such as email triage, and only expand once the first step has proven itself.
Examples
Three examples from everyday work.
Email triage & reply drafts
Trigger
Dozens of enquiries, orders and complaints land jumbled together in the shared inbox every day.
Result
Every email is categorised and assigned to the right person. A reply draft is ready for standard enquiries. Nothing is sent until someone has looked at it.
Extract invoices & delivery notes
Trigger
An invoice arrives as a PDF attachment – as a scan, photo or printout, formatted differently every time.
Result
Supplier, amounts and line items are recognised, matched against the purchase order and recorded in your system. Discrepancies go to accounting for review.
Quote from an enquiry
Trigger
A customer describes what they need in an informal email.
Result
The requirements are captured and a quote draft with current prices awaits your approval. If details are missing, the system suggests a follow-up question.
Your systems stay
AI complements your tools instead of replacing them.
We connect the AI to the inbox, ERP and document storage your team already works with. Which language model runs behind it depends on your data protection requirements.
Frequently asked
The questions that always come up in a first call.
It happens, and that is exactly what the workflow is built for. The AI works with confidence thresholds: if it isn't sure enough, the case goes to a human instead of proceeding automatically. Critical steps such as sending quotes always run through an approval, and every result is traceable in the log. We don't build AI that communicates externally unchecked.
We settle this before the first line of code. Depending on your requirements, we use EU-hosted models or models with a data processing agreement, minimise the data that reaches the model and document the processing. Personal data only leaves your systems where this is agreed and legally sound.
A first, clearly scoped workflow costs a one-off project fee plus ongoing model costs of usually a few cents per processed case. We calculate both in concrete terms before we start. And if automation doesn't pay off at your volume, we'll advise against it.
A first use case, such as email triage or extracting incoming invoices, is usually live within a few weeks. We start small, measure accuracy against your real data and only expand once the first step runs reliably.
Next step
Let's start with your inbox.
In a half-hour call we look at where things are still sorted and retyped by hand in your business. Afterwards you'll know whether a workflow pays off – and if so, which one to build first.