call-digest

To extract actionable insights from call transcripts, you can process text from Fathom, Fireflies, or pasted input to automatically identify pain points, objections, buying signals, and generate MEDDIC or BANT qualification status. The output includes chat-ready markdown and HTML reports with structured data.

Yes, you can generate MEDDIC and BANT qualification scores directly from pasted call notes or auto-detected transcripts. The system analyzes the conversation content to evaluate qualification criteria, capturing stakeholder mentions and flagging deal risks in the output report.

Yes, the tool works with Fathom and Fireflies transcripts through MCP auto-detection, as well as directly pasted text. It processes these varying sources uniformly to extract proposal-ready data, competitor mentions, and coaching scorecards.

The best way to automate follow-up emails after a discovery call is to process the transcript to draft targeted responses based on extracted pain points and objections. This converts the conversation context into an actionable email ready for prospect follow-up.

You create a coaching scorecard from a recorded sales call by ingesting its transcript into the processor. The system evaluates the conversation to generate a structured scorecard, capturing objections and recommended responses to guide representative coaching sessions.

Yes, you need a pipeline for frontmatter metadata to successfully process call transcripts. This setup allows the system to ingest the transcript sources and output the structured, actionable intelligence to the designated .tmp/call-digest directory.