Voice intake for high-ticket offers
When the offer costs $2K+, the application should cost more than a paste.
Why typed applications fail high-ticket offers.
A high-ticket application has one job: tell you who is worth a call. Typed applications stopped doing that job the day AI learned to write. A polished paragraph about commitment now costs the applicant four seconds of copy-paste, which means it carries no information about commitment at all.
So you get forty applications that all sound the same: passionate, growth-minded, ready to invest in themselves. The tire-kicker and the perfect-fit founder are indistinguishable on paper, and you end up doing the real qualification on sales calls, one wasted half-hour at a time.
What voice reveals.
Ask the same questions out loud and the applicants separate themselves in the first thirty seconds. Serious buyers say numbers without being chased: their revenue, what they already spent, the deadline that is forcing the decision. Unserious ones generalize, deflect the budget question, and reach for phrases like taking it to the next level.
None of this requires lie detection, and we don't claim any. It is simply that speaking is unscripted by default. The pause before the budget answer, the specificity of a real story, the flat sound of someone reading prepared text: these exist in the recording and are deleted by the keyboard. You also keep a defense text can never offer, because nobody can paste ChatGPT into a microphone. Live mic only, no uploads, limited retakes.
How the scoring works.
Every answer is transcribed, and each question carries an extraction hint you write in plain language: current revenue as a number, budget confirmed yes or no, the urgency driver in one line. The AI pulls those fields out of the transcript, so a five-question application becomes a structured row, not a blob of prose.
Then each submission is scored 1 to 100 for seriousness against a rubric you control: budget clarity, timeline, specificity, fit signals. The rationale is written out next to the score, likely script-reading gets flagged, and the raw audio sits one click away. The score sorts; you decide. Your inbox opens ranked, and you call the top three instead of reading all forty.