Operating Model
A practical framework for AI readiness
Five readiness dimensions that help teams separate viable AI use cases from attractive demos.
AI readiness can be evaluated through five practical dimensions: data, meaning, workflow, controls, and ownership.
Data asks whether the inputs are accessible and reliable. Meaning asks whether concepts and definitions are clear enough to use. Workflow asks whether AI assistance fits the actual work. Controls ask how review, privacy, risk, and escalation are handled. Ownership asks who is accountable when the system is used.
Use cases that score well across all five dimensions are stronger candidates for early execution.