What is Use Case?
Use Case — A specific scenario or business problem where AI can be applied to deliver measurable value.
A use case defines a specific business problem where AI can deliver measurable value. Successful AI adoption starts with identifying high-impact, low-risk use cases and proving value before expanding. Common starting points include document processing, customer support, and data analysis.
Frequently Asked Questions
How do I identify good AI use cases?
Look for tasks that are repetitive, data-rich, time-consuming, and have clear success metrics. Good first use cases have high volume, tolerance for errors, and existing processes to benchmark against.
What makes a bad AI use case?
Tasks requiring 100% accuracy, lacking sufficient data, needing real-time life-safety decisions, or where the cost of AI exceeds the cost of human labor. Also avoid tasks where failure consequences are severe.
How many use cases should we start with?
Start with one or two well-defined use cases. Prove ROI, build internal expertise, then expand. Organizations that try to tackle too many use cases simultaneously usually fail to deliver on any.