A Practical AI Readiness Check for Growing Teams

AI projects move faster when the business problem is defined before tools are selected. Start by documenting the workflow, where time is lost, and what a successful outcome looks like.

Next, check whether the required data is reliable and accessible. Assign an owner for the process and decide which decisions must remain with people.

Choose one repeatable, measurable use case. Run a small pilot, compare the result with the current baseline, and scale only after quality, security, and accountability are proven.