AI lead qualification
Every inbound lead looks identical in a form submission, so the team works them in arrival order and spends the afternoon on the ones that were never going to buy. This job asks the qualifying questions your best salesperson would ask, scores what comes back, and puts the ready ones in front of a person first.
Concretely
- Asks the qualifying questions as the lead arrives, not two days later.
- Scores what comes back against the criteria you set.
- Reads buying intent from what the lead actually said.
- Routes the qualified ones to the right person by your rules.
- Records which source the lead came from, so the question can finally be answered.
Arrival order is the worst order
Working leads first-in-first-out treats a serious buyer and a browser as equally urgent, and since the browser often fills in a form faster, it frequently treats the browser as more urgent. Nobody chose this. It is what happens when there is no step between the form and the call, and it quietly sets the ceiling on what a sales team can produce.
Speed and sorting are the same problem
Qualifying within minutes works for a reason that has nothing to do with the questions: the lead is still thinking about you. A qualification step that adds a day removes the benefit it was supposed to create. Doing it as the lead arrives is what makes the sorting worth having at all.
It sorts, it does not turn anyone away
A lead this job cannot read confidently still reaches a person, flagged as unclear rather than silently set aside. That rule exists because the cost of the two mistakes is not symmetrical: a badly sorted lead wastes an hour, and a discarded good lead is invisible forever. Scoring is a suggestion about order, not a decision about who deserves a call.
The jobs this comes from
Sanaf holds thirty five written job descriptions. These are the ones behind this page.