The Meeting Intelligence System
Every call becomes a searchable record of insights, commitments, and next steps
How It Works
After every sales call, the Meeting Intelligence System processes the recording through a transcription and analysis pipeline. It extracts committed action items by party, identifies deal risk signals, pulls out objections and competitive mentions, and adds structured notes back to the CRM automatically. Sales managers get a coaching dashboard showing talk ratio, question frequency, and common objection patterns across all reps.
Step-by-Step Flow
Connect your call recording tool (Gong, Chorus, or Fireflies.ai)
Configure your extraction schema: what signals, commitments, and fields to capture
AI transcribes and analyzes every recorded call automatically after it ends
Structured insights written back to CRM deal record
Action items assigned to rep and prospect via task or email follow-up
Manager dashboard updates with aggregate rep and deal health data
Best For
- Sales teams recording calls but not systematically extracting insights
- Sales managers who spend hours reviewing calls for coaching
- Companies where CRM data quality is poor because reps don't update it manually
This is customized for your business.
Every node, tool, and logic path shown here gets adapted to your team structure, your CRM, and your existing workflows. What you see is the proven pattern. What we build together is built specifically for you.
Implementation Notes
Integrates with Gong, Chorus, Fireflies.ai, or Otter.ai via API for transcript retrieval. Alternatively accepts recordings from Zoom, Google Meet, or Microsoft Teams via native bot joiners or cloud recording storage. The analysis pipeline runs two sequential AI passes: first, a structured extraction pass that pulls speaker labels, action items with owner and deadline, stated objections, competitive mentions, and deal risk signals as structured JSON; second, a coaching analysis pass that computes talk ratio, question frequency per rep, and common objection themes across deals. Extracted data writes back to the CRM deal record via native integration: HubSpot, Salesforce, and Pipedrive are natively supported. Action items create tasks in the CRM or ping the rep via Slack with a direct link to the relevant call timestamp. The manager coaching dashboard aggregates across all reps and surfaces patterns: which objections are most common, which call structures correlate with higher win rates, and which reps show improving or declining engagement ratios. Average API cost per call is $0.05 to $0.15 depending on call length. Prerequisites: a call recording solution with API access and a CRM with deal-level note or field write capability.