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.
Every factor is stored with the lead. Score it again tomorrow and you get the same seventy-five.
Seventy-five out of a hundred — and every one of those points accounted for.
Qualifying
How a stranger becomes a scored lead
The number is arithmetic, not a hunch
A fixed rubric adds the points; the model only gathers the facts. The same lead always scores the same, and the breakdown is saved so your team can argue with it.
Qualified in conversation
Interest, budget, timing — asked the way a good salesperson asks, while the enquiry is still warm, in whichever of four languages they opened with.
Routed the moment it lands
Signed webhooks fire on creation with retries if your endpoint blinks, an email goes to the right person, and a promising lead can be booked straight into the calendar.
The rubric
What earns points
Nothing hidden and nothing weighted by vibe. These are the factors, and every one that applied is stored with the lead.
- Contact details captured
- Budget stated
- Timeline urgent
- Viewing or appointment already booked
- Hot at 70 and above, warm from 40
Keep looking