Initiatives
After the workshop the most important idea becomes a concrete initiative. Each starts with a baseline and ends with a clear recommendation: scale, adapt or stop.
Flagship initiative
„Which response solves the real problem, and which one is just an expensive reaction to the visible symptom?“
A real, upcoming management decision, such as a key-account escalation, is rebuilt from original sources: CRM, complaints, quotes, orders, margins and delivery performance. We test the options on the table and systematically look for the one that was not visible in the initial framing.
Outcome: An AI-supported decision workflow tested against historical cases, a data and transfer map, and a clear go / adapt / stop recommendation.
The third option
Two options are on the table and both are crossed out. The sprint looks for the option nobody had written down and runs the numbers on it.
Example scenario – illustrative
“Our largest customer is escalating a late, mis-specified delivery and considering a re-tender. Sales wants a permanent discount; operations thinks we need more capacity.”
Both reactions make sense, and both can be economically wrong if the delay actually arises between customer requirement, technical clarification and internal approval, and the customer wants reliability rather than a lower price.
Four diagnostic questions
Where does the delay really start?
Before, during or after production?
Is the requirement a one-off?
Or does it appear with other customers, complaints and lost quotes too?
Does the measure address the criticism?
Does a discount solve the problem, or just cut margin permanently?
Is there a reversible alternative?
For example a standard variant with a shorter approval path, testable at small scale.
The AI does not decide. It connects structured and unstructured sources and exposes contradictions. Quantitative statements rest on traceable calculation or are labelled as estimates.
Further initiatives
„Your AI pilot works in the demo but never makes it into reliable operation?“
„For which task do people still ask colleagues despite search and Copilot?“
„Which operational problem keeps coming back despite repeated fixes?“
„How much administration does your company still need, measured rather than guessed?“
„May your people use AI with customer, employee or NDA data, and how exactly?“
Next step
That is exactly what the workshop is for, or, for a first impression, the free discovery call.
