Build a practical initial workflow from an idea

What it is about

Implementation is worth it once an idea is tangible and ready to be tested in practice. That can be an AI-supported workflow, an internal assistant, a form process, an automation, or a small web app. The first step stays small enough to learn quickly.

Typical situations

• An idea exists but is not yet testable.

• A manual process should be simplified.

• AI should be built into a repeatable routine.

• An Excel or SharePoint system is reaching its limits.

• An MVP should show, as a provisional version, whether a larger build is worthwhile.

How it works

• Clarify the problem. What should be solved, and how will we recognise a good first test?

• Scope the MVP. I reduce the idea to the smallest sensible scope.

• Build the prototype. A first usable version as a workflow, assistant, form or web app.

• Test and plan the next version. Check with realistic material, then extend, simplify or hand over cleanly.

What you get

• A usable first prototype (depending on the environment and where feasible)

• A clear description of the workflow

• Findings from the test

• Notes on value, limits and risks

• A recommendation for further development or rollout

Suitable formats

• Mini prototype: for a clear idea with limited scope. A few days to two weeks.

• Workflow MVP: for recurring tasks with several steps or people involved. Two to four weeks.

• AI assistance concept: for internal assistants, research or quality review. One to three weeks.

Method

A real task, visible proof, clear anchoring. I start with one concrete task, check what changes in everyday work, and secure the result so it stays usable.

Starting safely

For prototypes I prefer anonymised, synthetic or explicitly approved material. Sensitive data is only used once data protection, IT boundaries and responsibilities are clarified.

Next steps

A good fit before or after: process analysis, AI Reality Lab, or safe AI use.