About DevStructure

Technology tied to how the work actually happens

A consulting and engineering practice in Munich, working with operations teams that have outgrown manual process.

Most businesses do not need more software. They need the software they already pay for to work together — and the handful of steps between those systems to stop depending on someone remembering.

Our work usually starts with a process somebody repeats by hand every week: copying an enquiry into a CRM, reconciling two exports, chasing an approval by email. It ends with that process running on its own, documented, monitored, and owned by you.

We are deliberately a small practice. Engagements range from a single integration to ongoing consulting on how a company's tools and workflows should fit together — and we would rather tell you a process is not worth automating than bill for the attempt.

Practice at a glance

BASED IN

Munich, Germany

WORKING LANGUAGES

German & English

FOCUS

Process automation, AI workflows, integration, custom software

TYPICAL ENGAGEMENT

2–8 weeks to first live workflow

Methodology

Five steps, repeated on every engagement

  1. 01

    Discover

    We sit with the people doing the work, list the tools in play, and record the process as it runs on a normal day — including the exceptions that never made it into anyone's documentation.

  2. 02

    Analyse

    Each step is scored on frequency, effort and error risk. That tells us what to automate first, what to integrate, what to rebuild, and what to leave in human hands.

  3. 03

    Design

    You get a written solution design before anything is built: triggers, logic, AI steps and their guardrails, the systems touched, the data involved, and what happens when a step fails.

  4. 04

    Build & integrate

    We develop, configure and connect the automation in a staging setup against real cases, then move it to production once it handles the awkward inputs as well as the clean ones.

  5. 05

    Run & optimise

    Monitoring, alerting and a review rhythm after launch. Workflows change as the business does, and the point is that they keep working without supervision.

Principles

How we decide what to build

Simplify before automating

An automated bad process is still a bad process, only faster and harder to see.

AI at the judgement step

Models are used where reading or drafting is needed — with deterministic rules around them.

Boring infrastructure

We favour technology you can hire for and maintain over whatever launched last month.

Failure is part of the design

Every workflow specifies what happens on a bad input, a timeout, or a silent outage.

No lock-in

Builds are handed over with documentation so another team could take them on.

Fewer, better projects

We take on work we can do attentively, and say no to the rest.

There is a process in your business that should not need a person

Tell us what it is. We will tell you what it takes to structure it away.