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Invoice intake
Incoming invoices are read, validated and posted into Business Central with an approval workflow.
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.
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
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Ticket triage
Support requests are automatically classified, prioritised and assigned to the right team.
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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
Pick one process that runs often and is clearly bounded
Define the rules, the exceptions and where a human takes over
Pilot with real documents, check the results against manual handling
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.
- 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.
- With a clearly delimited, easily measurable process — often invoice intake or ticket classification. This lets the benefit be demonstrated quickly before rolling out further.
- 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.
How do you ensure the AI doesn't post errors?
What is the best place to start?
How quickly does automation like this pay off?
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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.