Lead Qualification
Every score shows its working.
Most AI scoring asks you to trust a number. Ours does not: the agent gathers interest, budget, and timeline in conversation, and a fixed rubric turns that into a score. The model never invents the number — and every point is listed.
Qualifying
How a stranger becomes a scored lead
Scored 0 to 100, explainably
Contact captured, budget stated, timeline urgent, viewing booked — each factor adds a set amount, and the breakdown is saved with the lead.
Qualifies in conversation
The agent asks about interest, budget, and timing the way a good salesperson would, in whichever of four languages the customer is using.
Hot and warm, at a glance
Leads sort by score so your team works the ones worth working, instead of reading every enquiry in order of arrival.
Owned by someone
Assign a lead to a person and move it through new, contacted, qualified, converted, or lost.
Pushed wherever you need
Signed webhooks fire the moment a lead is created, with retries if your endpoint is down. Email notifications go out in parallel.
Straight into the calendar
Book a promising lead into an appointment from the lead itself, without switching screens.
What the rubric counts
The scoring function is deterministic — the same lead always produces the same score, and you can see exactly why.
- Contact details captured
- Budget stated
- Timeline urgent
- Viewing or appointment already booked
- Every factor stored with the lead and shown to your team
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