A structured diagnostic for identifying which parts of your current service delivery sit above or below the AI delivery threshold. Produces a table of every workflow step with an assessment of AI deliverability and the specific human value that remains.
Before repricing an engagement, before a positioning conversation with a client, or when evaluating whether to add AI tools to an existing workflow.
A detailed, step-by-step description of one complete client engagement from initial brief to final delivery. The more granular the steps, the more accurate the output.
I deliver [describe your core service] to [describe your clients]. Here is a typical engagement from start to finish: [describe your workflow step by step]. For each step, tell me: (1) Can current AI systems complete this step at a quality level a client would accept? (2) If yes, what specifically would a client still need a human for at that step? (3) If no, what is the constraint -- judgment, relationship, accountability, or technical limitation? Produce a table with each step, your assessment, and the client-facing value that remains human.
Replace the bracketed sections with your actual service, client description, and workflow. Be specific at the workflow step level. "Client call" is not a step. "Identifying unstated constraints from a discovery call" is.
A table with 6-12 rows covering each step, a clear AI deliverability assessment (yes/no/partial), and a specific human-value statement per row -- not a generic "judgment" claim but the actual judgment or relationship context involved.
Describing workflow steps at too high a level. The more granular the step description, the more accurate and actionable the deliverability assessment.
The output of this prompt is the raw material for your next positioning conversation. If you cannot articulate the human-specific value at each step, neither can your client -- and that is the pricing problem.