USE-CASES

AI lead qualification using your sales criteria

A good qualification rule explains why a lead belongs in a queue. Evaluate the information a prospect actually provided against a short, written definition of fit.

JEV / DECISION LABYOUR RULES. YOUR LABELS.
Remove passwords, payment details, and unnecessary personal information. 85%
OUTPUT / JSON

Your decision

Run a decision or open the labeled sample to see the result here.

A high score is not a guarantee. Keep a person in control of consequential actions.

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A customer message enters your label rules, becomes a typed category, and reaches a queue with a review path.
A customer message enters your label rules, becomes a typed category, and reaches a queue with a review path.

Separate fit from buying intent

A large company is not automatically ready to buy. Use explicit signals such as the stated use case, expected volume, current workflow, and implementation timeline. Do not infer budget or personal traits from a name or email address.

A practical first set of outcomes is ready for conversation, needs more information, nurture, and outside scope. Give each outcome a clear boundary in the decision instructions.

Try a lead in the playground

Review before you contact anyone

The tool returns a proposed category and confidence when supplied by the model. It does not send outreach. Low-confidence cases should prompt a follow-up question or manual review, not a confident rejection.

Evaluate the rule with historical leads that include both wins and losses. Check whether the model follows your definition, rather than whether its score simply correlates with company size.

Measure the business outcome

Track qualified conversations and opportunities alongside classification accuracy. A faster queue is valuable only if relevant prospects reach the right person. Revisit the rule when your product, target market, or sales capacity changes.

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Use cases

AI lead scoring that reads what the lead actually wrote

Most lead scores add points for job title, company size and page views, and ignore the one field that says the most: the free text a prospect typed into your form or email. This page shows how to turn that text into a readiness band with a written rule, combine it with the score you already have, and prove it predicts revenue before sales relies on it.

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    Tell us what you need

    Describe the workflow you want to classify, the volume you expect, and the outcome you need. We reply by email.

    10–2,000 characters. Never include passwords, API keys, or payment details.