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AI agents and automation

We connect AI to your real tools and data so it does concrete work: answering, processing, recording and reporting.

Where AI most often makes sense

Inquiries and support

An agent answers common questions around the clock, collects details from the client and hands complex cases to a person.

Sales flow

Inquiries are logged, sorted and routed to the right person automatically, and reminders go out without manual follow-up.

Documents and data

Invoices, orders and emails are turned into structured data and entered into your system.

Reports and KPIs

Data from several sources is gathered in one place and reports generate themselves.

Internal assistants

Your team asks questions about your own documents and procedures and gets answers with the source.

Connecting tools

Your website, CRM, accounting and communication tools exchange data without copying.

How we approach AI projects

  1. We start with the process, not the tool

    First we find which task costs the most time and whether it can be automated reliably.

  2. A small first step

    We build one measurable flow, then extend it once it proves itself.

  3. A person stays in the loop

    Critical decisions and exceptions go to your team. Automation takes the routine.

  4. Your data stays yours

    We agree in advance where data is processed and who can access it.

Have a task to automate?

Describe what your team does by hand. We will assess whether it is worth automating and how.