Zigment
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Case Study
Trust & security
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The signal was always in the conversation. Now it reaches your CRM.

Every question, hesitation and objection is scored for intent, sentiment and urgency as it happens, then written back as structured data your team can sort, route and act on.

33% lift in paid-subscription conversion. Scripbox.

Signals fanning out of a single conversation

Your best buying signals are sitting in a chat log nobody reads.

The customer told you their budget, their timeline and their objection. It ended up as an unread transcript, while the CRM recorded a lead status and a date.

An analyst scrolling through chat transcripts

Three steps. No engineering ticket.

  1. 1

    You build it.

    Define what your agent asks, what it qualifies, what it never says. In Agent Studio, without code.

  2. 2

    You deploy it once.

    One agent goes live across every channel at the same time. Not one build per channel.

  3. 3

    Your team gets the warm ones.

    Every conversation scored, enriched and synced to your CRM. Your rep opens a record that already knows the customer.

Not sentiment scores on a dashboard. Signal your team can act on.

Intent scored from a live conversation

Reads intent, not keywords.

Someone asking about delivery timelines for the third time is not the same as someone browsing. The agent scores what the customer is actually trying to do.

An urgent thread flagged for a human

Catches urgency while it still matters.

Escalation thresholds you set, applied in the moment. A frustrated customer or a high-value question reaches a human before the thread goes cold.

Conversation signals syncing into a CRM

Writes back to your stack as structured data.

Intent, objection, product interest and next best action land on the CRM record as fields, not as an attachment nobody opens.

Patterns emerging across many conversations

Shows you the pattern across thousands of threads.

Which objection is costing you the most, which campaign brings the wrong traffic, which question your content never answers. In aggregate, every week.

In every language your customers write in, including the mid-sentence switches. Voice notes and call transcripts scored the same way.

Every registrant read. Every high-value signal surfaced.

40%
increase in webinar attendance
33%
lift in paid-subscription conversion

Scripbox

Case Study

High-value investor signals pulled out of the conversation, not guessed from the form.

Know More

Tata Motors

35%+ more test drives from the same demand.

Stronger with these.

One thread across every channel

Omnichannel Agents

One agent across every channel your customers use, carrying the same memory and the same thread.

Voice AI calling a lead with full context

Voice AI

Your agents call the leads who never replied, with the full chat history already in hand.

You built it. You control it.

Every rule, every guardrail, every escalation threshold is yours to set. Change it on a Tuesday afternoon without filing a ticket.

Your customers already told you what they want.

It is in last week's conversations. Let's put it in your CRM.

A revenue team reviewing conversation signal