Responsible for innovation – without decision basis, risk is pre-programmed.
There are many ideas. What's missing are reliable decisions between risk, benefit, and investment.
Workshops generate ideas. But what comes after? Without market analysis, value coherence, or clear risks, many projects get stuck. modelAIz structures your path to decision foundations that hold up in steering.
Typical Challenges
Innovation teams face the challenge of not only generating ideas, but also making well-founded decisions.
- We generate ideas, but don't make clear decisions.
- Innovation becomes political instead of fact-based.
- After workshops, a reliable argumentation is missing.
- Risks exist – but are not clearly named.
- Management asks for security, we deliver gut feeling.
Why classic approaches fail – and what is needed instead
Why classic approaches fail here
Workshops create activity, but no decision readiness.
Presentations show opinions, not connections.
AI tools deliver text, but no validated argumentation.
Risks are suppressed instead of being considered structured.
What is needed instead
A clear validation framework
Comparable decision bases
Transparent assumptions & risks
Results that hold up in steering
The Aha Moments for Innovation Managers
We thought: Our main problem is implementation.
modelAIz showed: The actual risk was in wrong market assumptions.
This was crucial because: The idea was realigned early – before budget was bound.
We thought: We need another workshop.
modelAIz showed: We didn't lack an idea, but a decision logic.
This was crucial because: Steering could decide clearly for the first time.