Products / AI Products
Call the right lead first.
LeadScore AI reads every incoming enquiry, enriches it with what it can find about the company, and scores it against the customers you actually close — with the reasoning shown, not hidden in a number.
Built for
Lead qualification & enrichment
- Teams getting more enquiries than they can call the same day
- Agencies filtering serious buyers from tyre-kickers
- Anyone whose best lead sat in an inbox for three days
The problem
What this replaces.
“We work the inbox top to bottom, so the best lead waits behind three bad ones.”
“Nobody knows anything about the company until they are already on the call.”
“Our scoring is a gut feeling that changes depending on who is looking.”
“By the time we call back, they have signed with someone faster.”
What's inside
4 modules that carry the work.
Scoring you can argue with
A score is useless if nobody can see why.
- Every score comes with the reasons that produced it, in plain language.
- Criteria are yours — budget signals, industry, company size, intent in the message.
- Calibrated against the deals you actually closed, not a generic template.
- Disagree with a score and correct it; the correction feeds the next calibration.
Enrichment
What the form did not ask, filled in before the first call.
- Company size, industry, location and web presence from public sources.
- Domain checks that separate a real company from a throwaway address.
- Existing-customer and duplicate detection before anyone makes a call.
- Everything sourced and dated, so stale enrichment is visible as stale.
Routing
The right owner, immediately, with the context already attached.
- Rules by score, territory, industry or product interest.
- Instant notification to the owner through email, Slack or WhatsApp.
- Escalation when a high-score lead has not been touched inside your SLA.
- Round-robin with capacity limits, so nobody gets buried.
Feedback loop
The scoring gets better because you tell it what actually closed.
- Outcomes fed back from your CRM — closed won, closed lost, and why.
- Score-to-close-rate reporting, so you can see whether the model earns its keep.
- Attribution carried through from ad click to closed deal.
- Alerts when scoring drifts away from real outcomes.
What changes
The difference on the ground.
Scored on arrival
not when someone gets to the inbox
Reasons shown
a score you can challenge and correct
Routed instantly
to the owner who should make the call
Built with
You get the source. No licence to renew, no vendor who can switch it off.
Questions we get about LeadScore AI.
How accurate is the scoring?
That depends on how much closed-deal history you can give it to calibrate against. With thin history it is a sorting aid, not an oracle — and the reporting shows you its score-to-close-rate honestly so you can judge it.
Does it replace our CRM?
No. It sits in front of one, scoring and enriching before the record lands, and reads outcomes back out to improve.
What if it scores a good lead badly?
You override it, and the override is recorded as training signal. Nothing is auto-discarded on a low score — low scores are deprioritised, never deleted.
What data does it send to a third party?
The enquiry text and public company data go to the model for scoring. You control what fields are included, and personal data can be excluded from the prompt entirely.
Ready to move 20% faster?
Get your free custom strategy in 24 hours. No cost. No pressure. Just a clear plan.