In development · conceptPart of inChat early access
AI lead qualification

Spot the qualified lead without rereading the chat.

Customers answer qualification questions in passing: “before June”, “around 20k”, “my husband decides”. The assistant highlights those answers, maps them to your criteria and suggests a status. Your team confirms it.

Illustrative concept with sample data. AI assistance is in development.
The job it does

Qualification in chat is real. It’s just scattered.

Forms ask everything at once. Conversations reveal it over a day or two, in the customer’s own words. Teams either re-ask questions the customer already answered, or skip qualification and waste time on poor fits.

Without it

  • Answers buried in a long thread
  • Every rep qualifies differently
  • Customers asked the same question twice
  • Hot leads wait behind casual inquiries

With inChat

  • Need, timeline, budget and decision-maker highlighted with sources
  • Your own criteria, not a generic score
  • Missing answers flagged, with a question suggested
  • Qualified leads surfaced first, after a person confirms
Capabilities

What ai lead qualification includes.

Your criteria

Define what qualified means for your business: service, timeline, budget range, location, decision-maker.

Answers with sources

Each detected answer is shown with the message it came from, so you can judge it in a glance.

Suggested next question

If the timeline is missing, the assistant suggests a natural way to ask.

Confirmed by people

Suggestions don’t change a lead’s status until a teammate accepts them.

Honest limits

Where AI qualification should stop.

Language models misread tone, sarcasm and context. A customer who says “that’s expensive” might still buy. That’s why this is a suggestion layer, not a scoring engine that hides leads from your team. Every lead stays visible, whatever the assistant thinks.

  • No lead hidden or auto-rejected
  • No sensitive-attribute inference: qualification uses only your stated criteria
  • Each suggestion explainable from the transcript
  • Concept stage: designed with early-access teams before it ships
Illustrative product preview with sample data
How it works

Getting started, step by step.

  1. Write your qualification criteria

    Our lead qualification question templates are a good starting point.

  2. Map them to fields

    Each criterion becomes a custom field the assistant can propose values for.

  3. Review suggestions in the lead list

    Confirm, correct or ask the suggested follow-up question.

AI lead qualification FAQ

Questions about ai lead qualification.

What it does, how it’s designed, and what’s still being decided.

Ask us something else

Not in the usual sense. Lead scoring assigns a number from many signals. This is closer to a checklist: it shows which of your qualification criteria the customer has answered, with the evidence. The glossary explains the difference.

No. Every lead stays visible and a person decides.

Not yet. It’s a concept in development and its scope may change based on early-access feedback.

Early access

Make every conversation count.

Join the early-access list to see inChat in action, help shape what we build next, and be first to know when your team can start.

  • A walkthrough built around your channels
  • Early look at pricing and plans
  • A direct line to the product team

Request access

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We’ll use these details only to follow up about early access. Free trials aren’t open yet.