Use Cases
Use case prioritization, production deployments, ROI measurement, and value delivery from AI initiatives.
Are AI use cases prioritized using a value vs. feasibility framework?
Do you have at least one AI use case in production delivering measurable business value?
Is there a use case backlog managed with ROI estimates and risk profiles?
Are lessons from AI pilots systematically captured and applied?
Are AI use cases reviewed for ethical implications before development?
Is there a mechanism to sunset or retrain AI models that underperform?
Are business stakeholders actively involved in defining AI success criteria?
Do you track post-deployment performance against baseline business metrics?
Are use case templates or playbooks available to accelerate new initiatives?
Is there a process for users to provide feedback on AI-powered features?
Does use case development follow a structured experimentation framework?
Are AI use cases documented and accessible to enable knowledge transfer?