Not an AI Chat. A Validating Advisory Process.

modelAIz guides you step by step through validating your business model – with methodology, quality checks, and clear decisions. AI is the enabler, not the deliverable.

What you get

  • Structure instead of randomness: A clear process instead of prompt ping-pong
  • Quality instead of text: Results are sharpened, not just formulated
  • Aha moments instead of confirmation: Blind spots become visible

Why this is more than ChatGPT

Chat

Answers to your questions.

Good for texts, ideas, formulations.

reacts

locally optimized

Text

modelAIz

Guidance through decisions.

Good for validation, structure, consistency, and outcome quality.

orchestrates

systemically validated

Decision-ready

How modelAIz works – as a validating advisory process

Each phase has a clear goal, a typical blind-spot pattern, and a quality gate. This creates result quality instead of just text.

Gate
Phase 01

Sharpen Starting Point

From idea to clear problem and goal definition.

We clarify what you really want to solve, for whom – and which assumptions you still believe instead of knowing.

Blind Spot

Many start with features. Here, the decision situation is first made clear.

Outcome

A reliable starting point: problem, target group, context, assumptions list.

Gate

Is the problem formulated concretely, measurably and target-group-sharp?

ClarityAssumptionsFocus
Gate
Phase 02

Understand Market & Alternatives

Check reality before you build.

We illuminate target segments, alternatives and market logics – so you don't develop against invisible competition.

Blind Spot

"We have no competition" is almost always a signal for blind spots.

Outcome

Structured market overview: segments, alternatives, opportunities/risks.

Gate

Are alternatives and comparison logics complete and realistic?

MarketAlternativesRisk
Gate
Phase 03

Precise Value Proposition

Why exactly you – and why now?

We sharpen benefits, differentiation and justification, so your offer is not just "nice", but relevant.

Blind Spot

Many confuse features with benefits. Here, benefits are worked out cleanly.

Outcome

A clear Value Proposition framework: benefits, evidence, differentiation.

Gate

Is the benefit formulated in customer language and verifiable?

ValueDifferentiationRelevance
Gate
Phase 04

Make Business Model Consistent

A system, not a canvas.

We check whether value creation, monetization, channels and costs logically fit together – and uncover contradictions.

Blind Spot

If monetization doesn't fit the value, it never scales – no matter how good the text sounds.

Outcome

A coherent business model with traceable connections.

Gate

Do customer segment, value, channel and revenue logic fit together consistently?

CoherenceMonetizationScaling
Gate
Phase 05

Derive Product Strategy & Focus

What you build – and especially what not.

From the insights emerges focus: target image, priorities and a clear path to the next decisions.

Blind Spot

Without strategy, every roadmap becomes a wish list.

Outcome

Product strategy output: focus, priorities, next steps.

Gate

Are priorities justified – and can clear no's be derived?

StrategyPrioritizationRoadmap-Readiness
Gate
Phase 06

Condense Result & Decide

From result to action.

At the end there is no wall of text, but decision readiness: what applies, what is risk, what is to be tested next.

Blind Spot

Many stop after "output". Here it becomes a decision set.

Outcome

Decision Pack: clear insights, risks, hypotheses, next tests.

Gate

Is it clear which assumptions need to be validated next?

DecisionTestsNext Steps

The Most Important Aha Moments in Business Model Validation

These three Aha zones show **why modelAIz is not an AI chat**, but a structured, methodical validation process. Each insight addresses a typical thinking error of a clear target group – and makes the difference between activity and decision readiness visible.

From Activity to Decision Readiness

Before

I thought we're making good progress – after all, we have many ideas, workshops and presentations.

After

A clear decision basis with explicit assumptions, risks and consequences – suitable for steering committees, management and budget approvals.

Why this is an Aha

Innovation rarely fails because of ideas, but because decisions are postponed. modelAIz makes visible **where decisions need to be made – and on what reliable basis**.

From Confirmation to Real Validation

Before

I thought I was validating my idea – but I only had confirmed what I already believed anyway.

After

Structured validation with targeted counter-questions, alternatives and clearly formulated hypotheses – including the insight **what doesn't work yet**.

Why this is an Aha

Without methodological guidance, AI reinforces existing beliefs. modelAIz forces confrontation with uncertainties – not feel-good answers.

From Gut Feeling to Comparability

Before

I thought I recognize good business models – but decisions were strongly influenced by pitch quality, storytelling and personal impression.

After

Standardized, comparable results across market, business model and product strategy – independent of presentation strength.

Why this is an Aha

Good stories can hide structural weaknesses. modelAIz separates **substance from presentation** and makes evaluations traceable and reproducible.

For you / Not for you

modelAIz is designed for founders and teams who want to validate ideas systematically. It's not a tool for quick text generation, but a structured process for making better decisions.

For you, if you…

  • need to make decisions (time/money/team)
  • want to seriously validate an idea
  • seek advice + structure, not "text"

Not for you, if you…

  • only need quick texts
  • want to "fill out a canvas"
  • don't want iteration

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