Process documents
From a PDF in your inbox to information your team can use. AI extracts it, your software processes it and a colleague reviews what needs attention.
Less manual work. More possibilities.
AI is one of the tools for improving a business process. We assess which tasks could benefit and connect the application to your data, existing software and checks by your team.
Applications
Your processes shape what we build.
Find business knowledge
Help colleagues find answers in manuals and procedures, with a reference to the source. We start with your available knowledge and access requirements.
Connect AI to your software
Let your administration software, internal tools and external services exchange information. We build the connections your workflow needs.
AI applications
From a PDF to a usable order proposal.
For a wholesaler, we develop software that extracts order data from PDFs and matches it to the correct customer and products.
The application checks each proposal against current data and agreed rules. Proposals that pass are processed in the existing order system. Uncertain cases go to a member of staff first.
Existing application · ongoing development
Read the full case studyRecognised products4
All products matched
ProductQuantityUnit
Shipping box M120 pcspcs
Shipping box L60 pcspcs
Packing tape24 rollsrolls
Void fill8 rollsrolls
One item needs your attention
The customer writes “next Tuesday”. Check whether 29 September is the correct delivery date.
4 products · 1 item to reviewApprove proposal
What it delivers
Count the savings, not the cost.
An AI application costs money, but the figure that matters is what it frees up. A worked example for processing orders:
Today
3 employees
10,000 euro in wage cost per month
They retype orders, check them and correct mistakes.
With AI
1 employee
3,500 euro in wage cost per month
One colleague reviews the proposals. Two colleagues gain time for customers, planning and sales.
6,500 euro
per month of capacity for work that pays off more.
Illustrative example based on wage cost, not a client result. In the analysis we calculate your own process, with the investment alongside it, before you decide.
Integrations
Systems that work together.
An AI application becomes useful when it connects to the software and data your team already works with.
We build API integrations, check data quality and show what is being processed. For external services, we also define usage limits, error handling and cost tracking.
See an integration in practice
Possibilities
Where else could AI help?
Many SMEs lose time between receiving a request, making a decision and processing it. These are possibilities we can explore based on your data, systems and working practices.
Organise inboxes and requests
Recognise a request, extract attachment data and prepare a case or task for the right colleague.
Compare documents
Compare a supplier confirmation with the purchase order. Flag differences in prices, quantities or delivery dates for review.
Share knowledge with new colleagues
Answer questions about procedures, agreements and systems from your own documentation, with a reference to the source, so new colleagues need to ask less often.
Prepare responses
Prepare a customer reply, quotation or report using information from your systems. A colleague reviews it and decides what to send.
Monitor data quality
Flag unusual values or incomplete cases and suggest the appropriate review step.
Turn conversations into actions
Summarise visit reports or conversation notes and prepare follow-up tasks in your customer management or planning system.
Approach
A clear process. A practical first step.
We get to know your work.
We look at where time is lost, which systems you use and which task makes a useful starting point.
We make it tangible.
Your team tries an initial version with familiar situations. Together, we assess what works and where review remains necessary.
We build on what works.
We develop the integrations and agree on access, maintenance and the next step.
Frequently asked questions
Practical questions.
Do we need to replace our existing software?
Usually, no. We investigate which integrations your current systems support and build from there. An API, file export or controlled import can provide a starting point.
What happens to our business data?
We establish which data is needed, who may use it and which external services process it. Access, retention and use of data are agreed for each application.
Who reviews the result?
It depends on the task. Together, we define which checks software can carry out, when a colleague needs to review the result and what happens when information is uncertain or missing.
How do we keep costs manageable?
We start with a clearly scoped application and discuss development and recurring costs in advance. Where possible, we set limits on external service usage and make it visible.
Can AI be useful for a smaller SME?
The number of employees is not the deciding factor. We focus on how often a task repeats, what data is available and how much review remains necessary. A focused application can be a good start; fixed, predictable rules may be better served by conventional automation.
Which process would you like to improve?
Tell us where information, time or visibility gets lost. Together, we identify a first step that helps your team.