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AI Use Case Design: test a concrete AI use case
Why test an AI use case?
- Complexity and costs: AI projects can become complex, time-consuming and expensive.
- Clear benefits: the intended benefit must be clearly defined to be consistently pursued.
- Suitability of AI: before implementation, verify whether AI is the right tool for the problem.
- Expert knowledge: capture the knowledge that already exists about the context, the problem and possible solutions.
Our recommendation
- Focus on use cases that solve real problems for your target group and would be hard or impossible to solve without AI.
- Obtain early feedback from customers or users to verify your understanding of the problem and the effectiveness of the proposed solution.
How does amidiro support you?
- Consultation: we advise you on developing and reviewing your AI use cases.
- Education: we explain which AI technologies might suit your case — and where the technology stops.
- Technology and science: we keep you informed about the current state of both.
- Facilitation: we moderate the assessment of AI use cases using a proven method.
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Essential questions: we help you address the ones that matter:
- What problem are we solving with AI, and what concrete benefit does the target group gain?
- Is AI the right tool, and is it capable enough yet?
- What exactly does the target group think about the proposed solution?
Our commitment
- You understand which specific benefit for the target group is in focus.
- You identify why and how AI can contribute, and what else is needed.
- You recognise the concrete opportunities and risks in this use case.
- You have a prototype that makes the proposed solution tangible.
- You gain insight into the thinking of potential customers or users.
- You know enough to plan a concrete implementation project.
What does the offer include?
Understanding AI Use Case Workshop — 1 day
- Foundations: introduction to the basics of artificial intelligence, as lecture and discussion.
- Problem consolidation: detailed elaboration of the target group’s concrete problem, starting from your initial ideas.
- Hypothesis forming: identification of the points that could challenge implementation.
Your outcome: a clear understanding of the intended benefit, and a set of questions that must be answered before you implement anything.
AI Use Case Design Sprint — 5 days
- Continuity: builds on the workshop as day one.
- Solution sketch: possible solutions using artificial intelligence.
- Verification: feasibility inside your company, with your data and current technology.
- Prototype: something that makes the core idea tangible for the target group.
- Feedback: first reactions from potential customers or users.
Your outcome: a concrete solution sketch, a prototype built on it, and a hypothesis about the value proposition together with real feedback on exactly that hypothesis.
The five days
Understand → sketch → decide → prototype → test. One week, ending in front of real people rather than in a slide deck.
Have a use case in mind?
Tell us about it. A first conversation costs nothing.