AI automation for your processes and your knowledge

Less manual work. Processes that run reliably.

For small and mid-sized companies: automate the work that comes back every week, so the time goes back into the core business.

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Portrait of René Viering

The same steps every week: carrying data from one system into the next, drafting quotes, answering questions that were answered long ago. That costs the time the core business needs.

Start with the manual process that costs you the most time. From emails through drafting quotes to assistants that answer from your own documents, and agents that do work rather than produce text.

Most AI projects fail not on the technology but because a tool was picked before the problem was understood. That is why the analysis comes first. Sometimes AI is not worth it in a given place, and then I say so.

How a project runs

Four steps. Each one has to hold before the next begins.

  1. Find the most expensive manual step

    Which process eats the most time? That is the free analysis.

  2. Understand the process and straighten it

    Often the process itself is the problem. Automated nonsense stays nonsense.

  3. Automate small, prove it in daily use

    In one place, embedded in the systems that are already there.

  4. Adjust and extend

    Where it pays off.

First step: the free analysis

A look at your product, your company and your processes, and at the place where most time is lost. Free, before any project.

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Background

In software development since 2005. Self-employed since 2018. The approach is the same as everywhere else: software that runs in daily use and can still be changed later.

IBM RAG and Agentic AI Professional Certificate, 2026. The full record is on the home page.

Based in Berlin. Remote and hybrid.

Freelance, contract or advisory, available for selected engagements.

René Viering

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