Sales

Sales Conversation Analyzer

Distill calls and meetings into highlights, sentiment, and next steps

Overview Capabilites Agent Workflow Example prompt

Overview

The Sales Conversation Analyzer transforms recorded sales calls and meeting transcripts into actionable intelligence—extracting key highlights, sentiment signals, objections, commitments, and next steps so sales teams can focus on selling rather than note-taking. Sales reps spend valuable time manually reviewing calls and documenting outcomes in CRM systems. This agent automates that process by analyzing conversation transcripts, identifying critical moments, tracking buyer sentiment throughout the discussion, and generating structured summaries with clear action items. Sales managers gain visibility into deal health and coaching opportunities while reps get more time for customer engagement.

Capabilities

Extract key discussion points, objections, and commitments from call transcripts
Analyze buyer sentiment and engagement levels throughout conversations
Identify critical moments including budget discussions, decision criteria, and timeline commitments
Generate structured summaries with clear next steps and action items
Flag coaching opportunities and best practice examples for sales enablement

Agent Workflow

Input: User uploads call recording transcript or meeting notes
Conversation Parsing: Agent segments transcript into discussion topics and speaker turns
Sentiment Analysis: Tracks buyer sentiment, engagement signals, and objection patterns
Key Moment Extraction: Identifies critical statements about budget, timeline, decision process, and requirements
Action Item Generation: Extracts commitments and next steps from both parties
Output: Delivers structured call summary with highlights, sentiment analysis, and CRM-ready notes

Example prompt

"Analyze the attached transcript from a 45-minute discovery call with the VP of Sales at a mid-market SaaS company. Extract and summarize: the prospect's current challenges and pain points, their evaluation criteria and decision-making process, budget range and timeline discussed, any objections or concerns raised, positive buying signals and areas of strong interest, specific commitments made by either party, and recommended next steps. Also provide a sentiment score (1-10) for overall buyer engagement and flag any moments where the rep should have probed deeper or handled objections differently. Format as a structured call summary suitable for logging in Salesforce."