Question 1
If I asked you, your COO, and your department leads what AI is supposed to improve this year, would I get the same answer?
AI works better when leadership is aligned around a business outcome, not a general interest in tools.
Practical operator scorecard
AI & Automation Starting Point Assessment
A practical scorecard for examining workflow, data, guardrails, ownership, and measurement before investing in AI or automation.
Kent Arnold, ThrivonAI
Built for business leaders deciding which operational problem is worth improving first.
Direction
Workflow fit
Measurable outcomes
Section 1 of 5
Direction
Not started
Question 2
If AI disappeared tomorrow, could you name the business problems you would still need to solve?
The strongest AI opportunities usually start as operational problems: delays, rework, missed revenue, poor visibility, or overloaded people.
Question 3
Who has the authority to approve, pause, or kill an AI initiative?
If nobody can say yes, no, or not yet, AI becomes a collection of experiments instead of an operating decision.
Question 4
Have you decided which AI ideas are not worth pursuing right now?
Prioritization is not only choosing what to build. It is also protecting the business from low-return work.