AI Use Case Canvas
Provides a structured approach to identifying and evaluating AI opportunities within your business
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This methodical approach helps fend of fears of uncontrollable AI experiments in the business and builds trust with key decision makers.
It is no rocket science, but here’s how it works:
- Context and Goals: Define the business problem, past attempts, and the objectives of your AI initiative.
- AI Design: Identify the AI capabilities required, data and technical needs, and how AI integrates into the business.
- Feasibility and Impact: Assess stakeholders, risks, value proposition, and investment needs.
- Execution and Scalability: Define implementation timelines, success metrics, and long-term scalability potential.
Here are a few practical tips for filling out the canvas effectively:
- Start with the business problem – Ensure AI is solving a real, strategic issue.
- Be clear on data availability – Lack of quality data is a common barrier.
- Identify key stakeholders early – AI adoption depends on business buy-in.
- Think about risks upfront – Address potential challenges before deployment.
- Plan for scalability – AI should be designed to grow with your organization.