AI Landscape Mapping
AI Landscape Mapping helps teams explore and visualize opportunities for integrating Artificial Intelligence into service design. By mapping the current state and identifying pain points, teams can brainstorm AI-driven solutions to improve service value.
Use this method when you need to explore how AI can address specific service challenges and generate innovative solutions. It's particularly useful when a team needs to understand the potential impact of AI on both front-end and back-end processes.
Solves: Lack of innovative ideas for service improvement; difficulty understanding how AI can be practically applied to solve service problems.
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Step 1: Introduce the AI Landscape Mapping activity and explain its purpose. (5 minutes)
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Step 2: Briefly describe the current state of the service, including key actors and interactions. Focus on both front-end and back-end processes. (15 minutes)
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Step 3: Identify and document problems associated with each phase of the service value chain, as well as areas for potential improvement. (20 minutes)
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Step 4: Brainstorm AI-related solutions for the identified problems, using the AI Functionalities Cards for inspiration. Consider automation, assistance, and augmentation. (40 minutes)
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Step 5: Review all generated opportunities, filter, and prioritize the most promising ones for further concept definition and evaluation. (20 minutes)
- Encourage participants to think broadly and creatively about potential AI applications.
- Ensure a mix of perspectives, including those with service knowledge and technical expertise.
- Focus the mapping on a specific part of the service value chain.
- Use different sets of technology cards to explore other emerging technologies.