Use cases
Whether you know which work AI should change, and how you'd know it worked.
How clearly have you identified where AI could help?
Why it matters: Without specific workflows, AI projects tend to become demos.
A first step: List your ten most repetitive workflows, and note who does each one and how long it takes.
How do you decide whether an AI project worked?
Why it matters: A project needs a business measure, or nobody can tell whether it should continue.
A first step: Choose one business measure for each AI idea before you start, such as hours saved or response time.
How far has AI got in your business so far?
Why it matters: Staff experiments are useful, but value usually comes from AI built into a workflow.
A first step: Pick one low-risk workflow and move it from individual experiments to a shared, supervised process.