Demo workshop
AI Use Case Ideation
See worked example
Participant name
Email (optional)
Department
Select your department…
Customer service
Engineering
Finance
IT
Operations
Sales & marketing
Use case name
① Need for AI
— Problem / Opportunity
1. What is the problem or opportunity?
More details (optional)
2. Which services / systems / processes are affected?
3. User story — how is it done today?
4. What happens if we don't solve it? (risk of inaction)
② Expected Outcome
5. Expected outcome of this use case
More details (optional)
6. KPIs — how do you measure success?
③ Solution with AI
— Hypothesis
AI capabilities used (tick all that apply)
Vision
Discovery
Audial
Forecasting
Linguistics
Optimization
Robotics
Creation
How will AI solve this & what is the value?
More details (optional)
What data is needed?
Existing models / 3rd-party vendors?
Data sources / integrations?
Data sensitivity?
AI-vision fit — how does it play into your AI vision?
④ Assessment
— Score (compare across groups)
Value — strategic advantages (tick all that apply)
Better customer experience
Sales growth / new market
Increased speed
Reduced complexity / risk
Improved resource efficiency
Improved quality of service
Better insight for decisions
Feasibility — ease of implementation (1 hard · 3 easy)
Data & Infrastructure
1 · Hard
2 · Medium
3 · Easy
Algorithms & Solution
1 · Hard
2 · Medium
3 · Easy
Process & Systems
1 · Hard
2 · Medium
3 · Easy
Required know-how
1 · Hard
2 · Medium
3 · Easy
Time to PoV
< 3 mo
4–6 mo
7–9 mo
10–12 mo
> 12 mo
Value score — overall business value (1 low · 5 high)
1
2
3
4
5
More details (optional)
Estimated € business value (state assumptions)
Exceptional risks
Ethical (bias)
Regulatory (GDPR / EU AI Act)
Cyber-security
Human-in-the-loop
Total score (optional)
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