Knowledge
The questions from the first call, answered in full.
What an AI project costs, which workflows pay off, where the data stays, what the works council has a say in and what the EU AI Act requires. Every article closes with what it means for your business.
All articles, newest first
10 minutesAI in business: chat window or workflow?
Why a chat window changes little in day-to-day operations, how to recognise a real AI workflow and five questions for checking your own use of AI.
10 minutesAI project costs for mid-sized companies
Analysis, build, ongoing operation, model costs and internal effort: what an AI project costs a mid-sized company, with a worked example and eight questions to ask of any offer.
12 minutesEU AI Act: what mid-sized companies must do
The EU AI Act is concerned not with the technology but with how it is used. Which typical workflows at mid-sized companies trigger which obligations, in one table.
10 minutesAI and the works council: a practical guide
Almost every AI workflow is subject to co-determination. How to involve the works council early, what belongs in the works agreement and what a workflow logs.
10 minutesAI data protection in companies: three ways
Three operating modes for AI models and which data belongs where: a decision table per type of data, the legal basis and eight questions to ask any AI provider.
10 minutesAI potential analysis: what pays off
The criteria from our workflow analyses: how to tell which workflows pay off with AI, which do not, and how to estimate effort and saving in advance.
9 minutesClean up CRM data before AI arrives
Duplicates, junk data, empty mandatory fields: how to measure your CRM data, clean it by fixed rules and keep it clean before an AI workflow works on it.
10 minutesEmpCo Directive: checking green claims
Stricter rules for environmental claims have applied since 27 September 2026. How to check your entire text inventory, with a list of terms and permissible alternatives.
9 minutesLead qualification with AI in B2B sales
How a workflow reads every enquiry, classifies it and assigns it to the right team, why rules rather than the model decide and which criteria belong in lead routing.
9 minutesMonitoring and maintaining an AI workflow
An AI workflow can keep running and still get worse. Which metrics monitor it, what alerts look like and how to change the model safely.
9 minutesProduct texts with AI at scale, checked
How a fact anchor, a rulebook and eleven automatic checks stop nonsense from going online across thousands of AI product texts. With a checklist to adopt.
9 minutesStandard software or custom tool: the costs
Per-head licences versus a custom tool: what each costs over five years, when buying clearly wins and how to decide workflow by workflow with a matrix.
Terms such as fact anchor, check or RAG are explained in the glossary. Short answers to the most common questions are in Questions and answers.
Handover
The first step is a 30-minute call.
You tell us about the workflow that costs you the most time. We tell you honestly whether AI pays off there and what the next step would be. Whether a workflow analysis follows is up to you.