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Anatomy of a call-analysis agent

Inside how Dench's call-analysis agent maps objections to deal stage, computes win-rate deltas, and recommends packaging changes.

The Dench Team
The Dench Team
·6 min read
Anatomy of a call-analysis agent

Anatomy of a call-analysis agent

Gong did meeting intelligence first. Dench's call-analysis agent does it second, on top of an open data model that the rest of the CRM can read.

The loop:

  1. Ingest — transcripts pulled from Zoom/Meet/Phone via Composio.
  2. Tag — objection categories detected with a small classifier (~92% F1 on our internal set).
  3. Aggregate — objections × deal stage × month, joined to the deal's actual outcome.
  4. Recommend — pricing tweaks, content gaps, or packaging changes that move the win-rate.

The trick is step 4. Pure aggregation produces dashboards; recommendations require the agent to look at outcome data and propose interventions. We seed prior interventions and their results as memory, so the recommendations get better over time.

The Dench Team

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The Dench Team

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