How is the score decided?
By rules we agree with you, tested against a sample of your own enquiries, not a black box.
AI lead qualification
AI lead qualification, so the right lead gets the first call
Every enquiry is read when it arrives, scored for intent, and routed: hot leads alert you immediately, warm ones get a follow-up, and spam is handled without taking your time.
Deliverables
What do you get?
- Intent score on every lead
- Three routes: hot, warm, spam
- Instant alert with a suggested reply
- Every lead logged in Airtable with its score and reason
- Rules tuned against a sample you label
- Written scope agreed before the build
Process
How does it work?
- STEP 01
Send us a sample of real enquiries.
- STEP 02
We agree what counts as hot, warm and spam in writing.
- STEP 03
Build the scoring and routing, test against your labelled sample.
- STEP 04
Hand over with documentation and a tuning period.
Running in our own operations
The webhook, AI classification, router, Airtable record and alert flow behind our own contact form. See the sample pipeline on CogniLeads OS
Where does it fit in our packages? Single Flow to Ops Stack on /kavolith-automation; full platform on /cognileads-os. Scoped on a free call.
FAQ
Frequently Asked Questions
Does it contact leads automatically?
Not unless you ask for it. The default is alert and suggested reply to a human.
What tools does it use?
Typically Make.com or n8n, an AI model, and Airtable or Google Sheets.
How long does a build take?
Depends on scope; stated in writing before any payment.