Who should attend
The workshop is designed for cross-functional teams from organizations that want to systematically identify, prioritize, and translate AI and RPA use cases into concrete prototypes. Typical participants include:
- Executives and decision-makers from business and IT departments
- Product owners, innovation managers, and digitalization leaders
- Business analysts, process owners, and UX/design representatives
- Members of transformation and innovation teams
Prerequisites
A basic understanding of your own business processes is required. AI-specific prior knowledge is not mandatory but beneficial. Prior to the workshop, stakeholders are systematically onboarded and relevant contextual knowledge (business strategy, existing roadmaps, SWOT, customer feedback) is established.
Course Objectives
- Identify a comprehensive portfolio of relevant AI and RPA use cases – along business processes and product innovation
- Prioritize and develop high-impact use cases in detail – with a focus on business value, feasibility, and user benefit
- Develop and validate concrete prototypes for selected use cases
- Create viable business cases for prioritized use cases
- Define a clear implementation roadmap – from PoC to MVP
- Align and empower a cross-functional team for further implementation
Course Content
Preparation
- Clarify workshop scope and technology/data constraints
- Select and onboard stakeholders and sprint team
- Build relevant contextual knowledge (business vision, roadmap, organizational structure, SWOT)
- AI-assisted generation of the Business Capability Matrix and initial gap analysis
Day 1: Use Case Portfolio Workshop – Portfolio Generation
- Welcome, Check-In & Braveheart Motivation Speech
- Review business context & constraints
- Review Business Capability Assessments and scope refinement
- AI Use Case Engine: Generation and evaluation of a use case portfolio
- Collaborative "Human in the Loop" refinement (AI Use Case Fight Club)
- Definition of the AI use case shortlist
Day 2: Use Case Portfolio Workshop & Beginn Innovation Sprint
- Use case deep dives & elaboration
- Definition of the AI use case hitlist for the Innovation Sprint
- AI use case scoping
- Deep dive user personas and problem understanding (as-is user journeys)
Day 3: Use Case Innovation Sprint
- “Lightning Demos” – relevant use case inspiration from other companies/industries
- AI Innovation Sprint use case poker and to-be user journeys
- AI business case development
- Storyboarding + Prototyping & User Demo Preparation
Day 4: Finalisierung & Roadmap
- Abschluss Prototyping & User Demo Preparation
- User Demos & Continuous Improvement (iteratives Prototyping)
- Creation of an implementation plan (completion of PoC and preparation of MVP phase)
- Confidence Vote & Check-Out
Post-Workshop (by the Workshop Sprint Team)
- High-fidelity prototyping & thorough user testing
- Finalization of PoC & lean business case
- Preparation of MVP / implementation