Track A: Process Cost-Cutting Automation
- Identify internal processes best suited for AI automation
- ROI analysis and feasibility assessment
- Priority ranking based on impact & implementation complexity
- Track B: New Product/Service Development
- Explore AI technology opportunities for innovation
- Market validation and competitive advantage analysis
- Revenue potential and resource requirement evaluation
Deliverables
- Comprehensive report highlighting top decision factors
- AI Project Design Sprint problem statements and goals
Process:
- Two-week intensive collaborative engagement
- Robust AI-enhanced design thinking methodology
- Qualitative and quantitative analysis for decision making
- Design and testing of project prototype(s)
- Implementation planning and project parameters
Deliverables:
- Complete project design outline for implementation launch
- Comprehensive summary of design process & decision choices
- Risk assessment and mitigation strategies
- Asset data from every phase of discovery and design phases
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