The hard question is not "Can AI do this?"
A useful workflow can still be a weak business. Technical feasibility does not prove that a buyer wants the result, trusts the delivery, or will pay enough to cover the final human work.
Four checks before another week of work
Name the buyer and trigger
Replace a broad market label with a specific operator, moment, costly problem, and search for help.
Describe the result
State what the customer provides, receives, can do next, and still owns. "AI assistant" is a mechanism, not a result.
Run the alternative test
Compare the promise with general AI, search, a spreadsheet, and the platform the buyer already uses.
Find the delivery tail
Identify the context, checking, formatting, correction, or communication that remains after the easy automation.
Revise before building when
- A free or low-cost alternative gives a good-enough result.
- The person using the service does not control the budget.
- Subjective review work is larger than the price can support.
INDEPENDENT INTERNAL EVIDENCE CASE - NOT A CUSTOMER CASE, TESTIMONIAL, OR PROOF OF DEMAND.
A bounded judgment, not a prediction
A fictional call-note service promises client-ready follow-up drafts. The buyer and time pressure look plausible, but lawful input, current alternatives, and correction time remain unknown.
Demonstration decision: REVISE. Narrow the buyer and measure review time before building an automated workflow.
See the complete TitleLift Solo demonstration