AI Lead Qualification That Scores Against Your Own Criteria
Stop reviewing every inbound lead by hand. Score, enrich, and route leads automatically — using the qualification criteria you actually care about.
Free plan available · No credit card required · 2,000+ integrations
Platform highlights
Platform highlights
Custom
criteria, not a generic model
2,000+
app connectors
Full
per-run traces
No-code
canvas, no dev required
What AI Lead Qualification Actually Means.
AI lead qualification is the process of scoring inbound leads against defined criteria — budget, need, timeline, fit — automatically, so only leads worth a rep's time reach a calendar or CRM pipeline.
It's the qualification layer inside a larger sales workflow. On its own, it replaces the manual review step where a rep or SDR decides whether a lead is worth pursuing. Combined with follow-up sequencing and meeting booking, it becomes a full AI sales agent workflow.
Looking for the full workflow, including follow-up and booking? See the AI sales agent
From Inbound Lead to Scored and Routed in 3 Steps.
Step 1
Define What 'Qualified' Means for You
Set the specific budget, need, timeline, and fit signals that matter for your business — not a generic scoring template.
Step 2
Connect Enrichment and CRM Sources
Link the tools that hold firmographic and contact data so scoring is based on real information.
Step 3
Let the Agent Score and Route
Every inbound lead is scored against your criteria and routed accordingly — qualified leads forward, the rest to nurture.
What an AI Lead Qualification Agent Should Actually Do.
Criteria You Define, Not a Generic Model
Set the budget, need, timeline, and fit signals that actually matter for your business. The agent scores against those, not a one-size-fits-all rubric.
Scores From Real Enrichment Data
Pulls firmographic and contact data from your connected tools before scoring, so qualification is based on facts, not just what a lead typed in a form.
Routes, Doesn't Just Flag
Qualified leads go straight to a rep's calendar or CRM pipeline stage. Unqualified leads get routed to nurture instead of sitting in an inbox.
Transparent Scoring
Every qualification decision is logged — which criteria a lead met or missed — so a rep can see why a lead was scored the way it was.
Works With Your Existing CRM
Scores, enrichment data, and conversation context sync into the CRM your team already uses through 2,000+ app connectors — no migration required.
Qualifies in Seconds, Not Next Business Day
Inbound leads are scored the moment they arrive, so a rep can reach out while intent is still fresh instead of the following morning.
Lead Qualification Is One Layer of a Larger Sales Workflow.
Most teams pair lead qualification with follow-up and meeting booking to cover the full path from inbound lead to booked call.
Read next: AI Sales Agent — the full qualification-to-handoff workflow
What Teams Are Automating in Their Qualification Workflow.
| Agents Involved | Result | |
|---|---|---|
| Inbound form triage | Intake · Intent classifier | Every inbound lead reviewed the moment it lands |
| Contact enrichment | Enrichment · Data validator | Firmographic data attached before scoring runs |
| Scoring and routing | Scoring agent · CRM sync | Qualified leads routed to a rep with reasoning attached |
| Nurture for unqualified leads | Nurture router | Not-yet-ready leads kept warm instead of discarded |
