AI Use Case Design Consulting

• Complexity and Costs: AI projects can become complex, time-consuming, and expensive.
• Clear Benefits: The intended (customer) benefit of an AI use case must be clearly defined to be consistently pursued.
• Suitability of AI: Before implementation, it must be verified whether AI is the right tool for the problem.
• Expert Knowledge: Capture existing expert knowledge about the context, the problem, and possible solutions.

Our Recommendation

• Focus on AI use cases that solve real problems for your target group and would be difficult 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.

• Consultation: amidiro advises you on developing and reviewing your AI use cases.
• Education: amidiro explains which AI technologies might be suitable for your use case and the limits of the technology.
• Technology and Science: amidiro keeps you informed about the current state of technology and science.
• Facilitation: amidiro moderates the process of assessing AI use cases using a proven method.
• Essential Questions: amidiro helps you to address the most important questions:
• What problem are we solving using AI, and what concrete benefit does the target group gain from it?
• Is AI the right tool, and is it sufficiently capable?
• What exactly does the target group think about the proposed solution?

Our Commitment

• You understand what specific benefits for the target group are in focus.
• You identify why and how AI can contribute to the solution and what additional needs exist.
• You recognize the concrete opportunities and risks of AI deployment in this use case.
• You have a prototype to make the proposed solution tangible.
• You gain insights into the thoughts of potential customers or users regarding your use case.
• You possess sufficient knowledge to plan a concrete implementation project.

1. Understanding AI Use Case Workshop (1 Day)
• Foundations: Introduction to the basics of Artificial Intelligence (lecture and discussion).
• Problem Consolidation: Detailed elaboration of the concrete problem of the target group, starting from your initial ideas.
• Hypothesis Formation: Identification of key points that could challenge the implementation of the AI use case.

Your Outcome

• The workshop provides you with a clear understanding of the targeted benefit for the selected AI use case.
• The workshop serves to identify clear questions that must be answered before implementation.

2. AI Use Case Design Sprint (5 Days)
• Continuity: Builds on the Understanding AI Use Case Workshop (Day 1).
• Solution Sketch: Sketching possible solutions using artificial intelligence.
• Verification: Verifying the feasibility of the AI solution within your company using existing data and current technology.
• Prototype: Creation of a means to make the core idea tangible for the target group.
• Feedback: Gathering initial feedback from potential customers or users.

Your Outcome

• You receive a concrete solution sketch of a feasible AI use case and a prototype built upon it.
• The sprint ends with the presentation of the prototype to potential customers or users, obtaining genuine feedback.
• You possess a hypothesis about the value proposition and feedback specifically about it from potential customers or users.