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AI-Plattform für personalisierte Innovationsstrategien

Customer

Services

  • Requirements Engineering
  • User Experience
  • User testing
  • Web Development

Awards

    • 1x Silver
    • 1x Shortlist

AI promises a lot. But the concrete benefits often remain vague. The Innoguide shows how this can be turned into a functioning system: a platform that automatically combines strategy, context and recommendations for action. For SMEs, this means a well-founded innovation roadmap in minutes instead of weeks.

try Innoguide now

Initial situation

Many organizations are faced with the same question:
How can AI be meaningfully integrated into existing structures - without pilot projects that fizzle out in everyday life?

The gap is particularly evident in the context of innovation:
Strategic clarity is usually achieved through extensive consulting. This is expensive, slow and hardly scalable.

For SMEs, this means limited access to precisely the knowledge they need to remain competitive.

For organizations, on the other hand: limited reach despite growing demand.

Idea

The Innoguide rethinks consulting - as a platform.

The aim is to provide an automated basis for strategic decision-making - context-sensitive, personalized and immediately usable. Not as a replacement for experts, but as a system that makes their logic reproducible.

Solution

The platform translates traditional innovation consulting into an interactive digital process.

A company starts with minimal input. While data is analyzed in the background, an interactive dialog adds the crucial context: role, perspective, internal assessment.

The platform delivers:

  • a well-founded assessment of the situation
  • Prioritized fields of action
  • Concrete, practicable recommendations with clear derivation

Complexity

The difference is not in the interface, but in the system behind it.

The Innoguide combines:

  • Editorial data from the canton's location promotion agency
  • Structured survey of internal perspectives
  • Automated analysis of external data

This hybrid architecture solves a central problem of many AI applications:
lack of context.

The result is not a generic AI answer, but a strategy that fits the organization - technically, structurally and operationally.

This is what we did

We design the Innoguide as a scalable AI system - not as an isolated feature.

  • Conception of a platform logic for digital consulting
  • Translation of innovation processes into a structured user journey
  • Building a hybrid data and AI pipeline
  • Design of a dialog system for targeted contextual data collection
  • Development of an architecture that systematically enables personalization

We combine strategy, product thinking and technology to create a system that makes an independent impact.

Result

The Innoguide shifts the use of AI in the company:

  • from experiment to application
  • from generic output to context-based decision support
  • from individual projects to scalable systems

Organizations can reach more companies - without proportionally more resources.
SMEs get clarity faster - and concrete next steps.

Outlook

The next step is not more features, but more system intelligence.

The quality of the recommendations increases with each use.
New data sources, better context models and integrated support logics expand the scope.

This creates a platform that not only analyzes, but also actively strengthens innovative capacity.

Ein Mann steht unter einem "intelligenten" Regenschirm, während Wasser aus einer roten Giesskanne austritt und ihn durchnässt.

Are you thinking about using AI in your organization? Then you need to talk to Chris.