From conversation to follow-through

A meeting ends.
The work keeps moving.

Capture the conversation, see what the customer actually agreed to, and keep a visible record of the next step. Start with Meeting Insights or add custom QA, relationship history and an active meeting agent.

01

Buying signals with evidence

Review the exact words behind a signal, who said them and the timestamp. A positive conversation does not automatically mean the decision-maker agreed.

02

Your definition of quality

Create weighted scorecards for discovery, support or another process. Unknown and not applicable results stay visible, alongside evidence coverage.

03

Promises stay visible

Capture the action, owner and due date. Keep manual confirmation distinct from a result verified by a connected system.

04

Context for the next conversation

Link conversations through known contact and booking records. Bring forward unresolved questions and supported context across meetings, calls and LinkedIn.

Meeting intelligence in Vantara with fictional example data
Sample dataActual Vantara interface with fictional names, conversations and results. Illustrative only; not customer performance.
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Questions about meeting intelligence

Does Vantara read a person's emotions?

Transcript reviews identify explicit statements and conversational evidence. They do not establish emotion, honesty or buying probability.

What is an active meeting agent?

An optional configured AI participant can respond using approved knowledge. Its connected time is metered separately within your capture allowance, and provider readiness is required.