Discover AI opportunities that truly matter
From 100 AI ideas to the 3 game-changers – systematically validated and ready for implementation.
The success of your AI initiative depends crucially on selecting the right use cases.
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About this consulting
The success of your AI initiative depends crucially on selecting the right use cases. Many companies invest in AI projects that are technically impressive but business-irrelevant – or fail due to unrealistic expectations and lack of feasibility. Our Use Case Discovery & Validation helps you systematically identify AI opportunities with the greatest potential. Through structured workshops, data-driven analyses, and rapid proof of concepts, we validate not only technical feasibility but also actual business value. This way, you only invest in AI projects that truly make a difference.
Objectives
- Systematic identification of AI opportunities across all departments
- Technical and economic feasibility assessment
- Development of working proof of concepts
- Precise ROI calculation and business case development
- Prioritization by impact and effort
Deliverables
- Use case portfolio with 20-30 evaluated opportunities
- Detailed feasibility studies for top 5-8 use cases
- 2-3 functional proof of concepts
- Business case documentation with ROI calculations
- Prioritization matrix and implementation recommendations
- Technical requirements and architecture sketches
- Presentation materials for management buy-in
Our Methodology
- 1Design thinking workshops for ideation
- 2Value stream mapping for process analysis
- 3Data discovery and quality assessment
- 4Rapid prototyping for PoC development
- 5A/B testing and experimentation
- 6Business impact modeling
Consulting Details
Target Audience
Department Heads, Innovation Managers, Digital Transformation Teams, Business Analysts, and decision-makers looking to unlock AI potential
Format
Hybrid
Duration
3-4 weeks
Team Size
4-6 domain experts + 2 AI consultants + 1 data scientist
Prerequisites
- • Access to relevant stakeholders from various departments
- • Basic data availability for PoC development
- • Budget for proof of concept development
- • Openness to cross-functional collaboration
Typical Timeline
- • Week 1-2: Discovery & ideation phase
- • Week 3-4: Analysis & prioritization
- • Week 5-6: Feasibility studies
- • Week 7-9: PoC development
- • Week 10-11: Validation & testing
- • Week 12: Final presentation & handover
Tools & Methods
- • Miro/Mural for workshop facilitation
- • Python/R for PoC development
- • Jupyter Notebooks for experimentation
- • Power BI/Tableau for results visualization
- • JIRA for use case tracking
Ready for your AI transformation?
Let's achieve your goals together
Expert Consultation
Experienced AI consultants for your project
Fast Implementation
3-4 weeks
Secure & Reliable
Proven methods and best practices
What You Get
Free initial consultation • No obligations • 100% confidential
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