AI & Automation

AI Automation of Business Processes

We automate recurring, document- and language-heavy business processes, from invoice processing to quote creation and customer communication. With traceable decisions, an audit trail and a human in the loop where it matters.

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AI automation at a glance

In every company the same repetitive busywork devours hours: typing invoices, sorting emails, answering standard requests, transferring data from PDFs. These tasks are rarely demanding but error-prone and expensive, and they keep qualified employees from value-adding work. This is exactly where AI automation comes in.

We combine OCR, large language models and classic rules into processes that read documents, understand content, check plausibility and write results directly into your systems, for instance Business Central. The key is control: every automatic decision is logged traceably, and when in doubt the process hands over to a human. This creates automation you can trust.

Typical results are shorter lead times, fewer typing errors and relieved teams. We deliberately start with a clearly delimited process, measure the effect and only then scale — instead of maximising risk with a big-bang project.

AI automation: what we deliver

Invoice capture with OCR + LLM validation
Automatic classification of emails and tickets
Quote and contract drafts via LLM
Speech-to-text in service processes
RAG-based response assistants
Human in the loop for critical decisions
Use cases

AI automation in practice

// 01

Invoice intake

Incoming invoices are read, validated and posted into Business Central with an approval workflow.

// 02

Ticket triage

Support requests are automatically classified, prioritised and assigned to the right team.

// 03

Quote drafts

Based on the enquiry and product data, pre-filled quote drafts are created for approval.

How we proceed

AI automation: step by step

1

Pick one process that runs often and is clearly bounded

2

Define the rules, the exceptions and where a human takes over

3

Pilot with real documents, check the results against manual handling

4

Go live with an audit trail, then take on the next process

FAQ

AI automation: frequently asked questions

Still have open questions? We're happy to clarify them in an initial call.

How do you ensure the AI doesn't post errors?
Through plausibility checks, thresholds and a human in the loop: uncertain cases are submitted for manual approval instead of being posted automatically. Every decision is logged and verifiable.
What is the best place to start?
With a clearly delimited, easily measurable process — often invoice intake or ticket classification. This lets the benefit be demonstrated quickly before rolling out further.
How quickly does automation like this pay off?
It depends on volume. For a process with a few hundred cases a month the effort is usually recovered within the first year; with double-digit volumes it rarely is. That is why we look at quantity before starting, not only at technical feasibility.
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Invoices, delivery notes, forms: text recognition with our own AI that learns from every correction — for consistently high recognition rates.

AI Knowledge Assistant for Your Team

An internal assistant that answers questions from your own documents, with sources.

Let's talk about your project.

Free initial consultation, 30–45 minutes, remote. An honest assessment — even if the answer is that you don't actually need it.