Workflow Identification
Can you spot the tasks where AI can actually help, instead of using it randomly?
The check looks at how you actually use AI in your work. It is not testing whether you know AI jargon. It is measuring whether you can turn AI into something useful, repeatable, and worth trusting.
Can you spot the tasks where AI can actually help, instead of using it randomly?
Can you turn a vague request into a useful result and improve it when needed?
Can you use AI across more than one step, or only for isolated one-off prompts?
Do you know when to trust the output, when to check it, and what to question?
Can you turn AI output into real work product, not just interesting text on a screen?
Do you use AI consistently in your work, or only when you happen to remember?
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0/ 72
Overall score
Current level
Capability breakdown
Interpretation
Likely cost
How you compare
These cards place your result in the broader state of AI use. They add context, not a direct ranking.
What is working
What is getting in the way
Primary diagnosis
Best workflow to fix first
What good looks like next
When to go deeper
The AI Workflow Audit is a four-week diagnostic for one team that takes a result like this from individual self-read to a written diagnosis the team can act on.
Five to seven 60-minute conversations with team members and adjacent stakeholders, onsite or remote based on fit.
The framework applied to the team rather than to individuals. A written report with three to five concrete moves the team can make in 90 days.
A 90-minute working session that walks the leadership team through the findings, plus a 30-day follow-up call.
$25,000 flat. Four weeks from kickoff to delivery.
Action plan
Flags