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AI automation & AI agents for your processes

We automate business processes with AI and solid software: triaging requests, taking data from documents, preparing replies and quotes, triggering steps between systems. For decisions that carry weight, your team approves.

A fit if/A process repeats every day, takes time and follows recognisable patterns.

01Email02AI reads03Data04Draft05Approval

per case, example

12 min2 min

AI automation/

What runs the same way every day can be automated

Sorting the inbox, typing details from invoices and applications, assembling replies from text blocks, copying data from one system to the next. Routines like these tie up experts and invite typos.

The difference from conventional automation: language models also understand unstructured content such as freely worded emails or scanned documents. We couple that understanding with dependable software that writes results into the right system, and we place approval points wherever decisions carry weight.

We start with one process, agree the success criteria up front – processing time or error rate, for example – and only expand once the numbers add up. If it doesn’t pay off, we won’t recommend it.

Benefits

What AI automation gives you

  1. 0101/04

    More time for expert work

    Sorting, typing and transferring are handled by the automation. Your team focuses on the cases that need experience and judgement.

  2. 0202/04

    People decide

    For decisions that carry weight, a person reviews and approves. Every step is logged, so results stay traceable.

  3. 0303/04

    Inside your systems

    The automation works with email, CRM, ERP, ticketing and document storage instead of adding yet another tool on the side.

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    Success in numbers

    Processing time, response time, error rate: what we measure is agreed before we start. You decide on expansion based on the results.

Examples

Typical processes for AI automation

01/05

Triage the inbox

Classify emails, forms and tickets by topic and urgency and route them straight to the right person.

  • Triage the inbox: Classify emails, forms and tickets by topic and urgency and route them straight to the right person.
  • Read documents: Capture invoices, delivery notes, applications or contracts and transfer the relevant details into the right system in a structured way.
  • Prepare replies and quotes: Templates, product data and customer history turn into drafts that your team reviews, adjusts and approves.
  • Workflows between systems: A new shop order creates the customer in the CRM, opens the task in the ticketing system and notifies the team – no copy and paste.
  • Condense knowledge: Summarise minutes, reports and long documents so decisions can be prepared faster.

AI automation

What we automate

AI automation for processes that run the same way every day: sorting requests, reading documents, transferring data, connecting systems – with approval by your team.

  • Process analysis map processes and find the steps where automation measurably saves time

  • Document processing read, classify and extract data from emails, PDFs and scans with AI

  • Workflow automation connect steps between CRM, ERP, ticketing and shop via APIs

  • AI agents multi-step tasks with clear boundaries, minimal permissions and approval steps

  • Human in the loop review and approval points wherever decisions carry weight

  • Logging & measurement trace what was automated, reviewed and changed

  • Data protection GDPR requirements and hosting options planned in from the start

  • Operation & expansion monitoring, adjustment and rollout to further processes

How it works

How we automate a process

A clear path from the first use case to a working solution – no black box.

  1. 01

    Understand the process

    Together with the people involved we look at how the process runs today, where time is lost and which systems, data and special cases belong to it.

  2. 02

    Implement a pilot

    We automate one defined process, connected to your systems and with success criteria agreed in advance.

  3. 03

    Measure results

    We compare before and after: time spent, quality, acceptance in the team. On that basis you decide whether to continue.

  4. 04

    Expand step by step

    What proves itself, we roll out to further processes and departments – measured against the same yardstick as the pilot.

Frequently asked questions

Questions about AI automation

The questions we hear most often about this service.

01Which processes can be automated with AI?

Mainly processes that occur often, take noticeable time and follow recognisable patterns – frequently with unstructured content such as emails, PDFs or forms. Typical examples are triaging the inbox, taking data from invoices and applications, preparing replies and connecting steps between CRM, ERP and ticketing.

02What is the difference between AI automation and RPA?

RPA and conventional automation work with fixed rules and fixed formats; they struggle with content that deviates. AI can additionally understand unstructured content, such as a freely worded email or a scanned delivery note. We combine both: AI for understanding, conventional software for reliable execution.

03Do you develop AI agents?

Yes, for clearly defined tasks. An AI agent works through a task in several steps and uses tools such as email, CRM or a database along the way. We give every agent firm boundaries, only the permissions it needs and approval steps for decisions that carry weight. What it does is logged.

04Do we need n8n, Make or Zapier for this?

Not necessarily. For simple processes, workflow tools such as n8n, Make or Zapier can fit. Where processes get more complex, have many special cases or reach deep into your systems, we develop the automation as software of its own. What fits your process we work out in the analysis – without committing to a particular tool.

05What about data protection and the EU AI Act?

We plan data protection in from the start: which data is processed, where it is stored and who has access – with hosting options that preserve your data sovereignty if needed. Which obligations under the EU AI Act apply depends on the use case; we assess that together. It does not replace legal advice.

06How quickly will we see results, and what does AI automation cost?

First usable results often come within a few weeks, because we start with one defined process. Costs depend on scope and integrations and are based on effort. We give you a realistic budget in the free initial call (20 minutes), before you commit.

Which process should we automate first?

Bring one specific process to the free initial call. We’ll tell you honestly whether automating it pays off and what a pilot could look like.