Sales Enablement & Knowledge

Conversation Intelligence Agent

ai

Analyzes sales call transcripts and email correspondence to extract buying signals, coaching opportunities, competitor mentions, and rep-accuracy risk flags, producing classified insights with recommended follow-up actions.

Sales ManagerSales / Revenue OperationsAccount Executive
Per-call
Buying signals and risks classified per conversation
Coaching-ready
Specific moments surfaced for manager coaching
Risk-flagged
Rep-accuracy issues escalated for review
Use Case 1

Call & Email Analysis

Trigger: Conversations with transcripts are available for review

1.Query activities with transcripts
2.Extract buying signals, coaching moments, and competitor mentions
3.Detect rep-accuracy discrepancies against CRM records
4.Classify each finding and link to the opportunity
5.Attach a recommended follow-up action
6.Route accuracy issues to a risk-flag review

Managers get classified, evidence-backed insights and a coaching list instead of re-listening to calls.

Use Case 2

Team Coaching Patterns

Trigger: Manager wants recurring themes to coach

1.Aggregate findings across recent calls
2.Identify recurring patterns (talk ratio, weak next steps, competitor handling)
3.Tie patterns to stage-progression data where possible
4.Recommend the highest-leverage coaching focus
5.Pull example moments for a session

Coaching targets the patterns that actually move deals, backed by real call evidence.

Integrations

Conversation Intelligence (Gong, Chorus)
CRM (Salesforce, HubSpot)
Email (Gmail, Outlook)
Risk Flag & Insight Records
Knowledge Base

Industries

all

See It In Action

A sample conversation with this agent

Analyze the transcripts from this week's calls.
Processing every activity with a transcript. For each call I extract buying signals (budget, timeline, authority language), coaching opportunities (talk ratio, missed discovery, weak next step), competitor mentions, and rep-accuracy risks where a rep's claim doesn't match what was said. I classify each finding, link it to the activity and opportunity, and attach a recommended follow-up. Rep-accuracy issues route to a risk-flag review rather than getting buried in a summary.
You flagged a rep for 'inaccuracy'—that's a serious call. Be careful there.
It is, so I keep the bar high and the evidence explicit. The flag here is that the rep logged the deal as 'verbal commit' but the transcript shows the buyer said they 'need to take it to committee'—a material gap between the call and the CRM. I quote the exact moment rather than characterizing intent, and I route it to a manager for human judgment. I don't conclude a rep is dishonest; I surface the discrepancy for review.
What patterns should I coach the team on this month?
Three recurring patterns across 60 calls: talk ratio is high—reps speak 68% of the time on discovery calls (target is closer to 45%); next steps are vague in 40% of calls (no date or owner); and a specific competitor came up in 12 calls, usually unaddressed. The highest-leverage coaching is tightening next steps—it correlates with stage progression in your own won-deal data. I can pull the three clearest example moments for a team session.