Services
AI automation
Automate recurring work with documents and enquiries, with an audit trail.
We automate processes in which people currently read, retype and forward: invoices, enquiries, quotes, incoming mail. Language models handle the reading and suggesting, your staff approve. The result is a business application with logging and permissions, not an experiment.
Typical triggers
Typical triggers
Clients get in touch when one of these situations arises.
- 01Skilled staff spend hours retyping, sorting and chasing.
- 02Volume is growing and additional staff cannot be found.
- 03A first attempt with ChatGPT or a workflow tool showed what might be possible, but is not reliable enough for daily operation.
- 04Management wants to use AI without letting data out of its hands.
AI automation
What you get
Measurement on your data
Before implementation we test the accuracy rate on real invoices or enquiries. You see figures rather than promises.
Workflow with human approval
Confident cases go straight through, uncertain ones go to the person responsible, with the reason.
Integration with ERP, bank and mailbox
Results end up where you already work, not in yet another tool.
Audit trail
Every extraction and every approval is logged and can be traced later.
Data protection concept
Set out in writing: model, processing region, retention, no use for training.
AI automation
Approach
01
Intake
Documents and messages arrive by email, upload or scan.
02
Extraction
A language model reads the content, matches it and rates how confident it is.
03
Matching
Master data, prices and open items come from your systems, not from the model.
04
Approval
A person checks the uncertain cases. You set the threshold.
05
Posting
The result is filed in the ERP, the mailbox or the portal, and logged.
Matching solutions
Matching solutions
Specific business cases with process and price range.
Effort
Price range
- Price range
- CHF 12'000 to 80'000
- Duration
- 4 to 14 weeks
Non-binding estimate, excl. VAT.
What drives the effort
The key factors are the number of document types, the quality of the incoming data and the depth of integration. For most SMEs, running costs for the models are in the low hundreds of francs per month.
Technologies
- Azure OpenAI
- Claude
- n8n
- Python
- TypeScript
- PostgreSQL
AI automation
Frequently asked questions
How do you stop the AI from making mistakes?
By never letting it decide alone where mistakes are expensive. Every extraction is given a confidence score, uncertain cases go to a person for approval, and every decision is logged. Before go-live we measure the accuracy rate on your real data.
Where does our data go when AI is involved?
We set that out in writing for each project. The default is processing in a European region, under contracts that rule out any use of your data for training. For sensitive data, self-hosted models are an option. Hosting and database are located in the EEA, and processing is designed around the GDPR and the Swiss Federal Act on Data Protection.
Do you work with n8n or build your own software?
Both, depending on the case. n8n suits manageable workflows between existing systems, and your team can help maintain it. As soon as audit trails, permissions, high volumes or a dedicated user interface are needed, a purpose-built application is more robust. We often combine the two.
When do you advise against custom software?
Whenever a standard product covers 80% of the case and the remainder is not a competitive advantage. For accounting, simple appointment booking or a small shop, there are good off-the-shelf solutions. We will tell you so in the intro call. Custom software pays off where several systems have to work together or your process departs from the norm.
Let us talk about your case.
20 minutes are enough to find out whether a custom solution is worth it for you.