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Calls to CRM next steps

Turn call transcripts into approved CRM next-step updates

Parse, classify, score, link, and plan CRM next-step updates from sales calls without letting an agent silently edit deals.

Common agent prompt

“Can an agent listen to sales calls and update CRM next steps safely?”

Who it is for

Sales leaders, RevOps, and teams using Gong, Fathom, Granola, or call transcript exports.

Why raw agents fail

Pipeline truth often lives in calls, but raw transcript agents can hallucinate, over-write rep context, or update the wrong deal. The right flow needs evidence quotes, deal-link confidence, and approval before CRM writeback.

The fullstackgtm pattern

fullstackgtm normalizes transcripts into evidence, classifies the call type, scores against a rubric, links the call to the likely deal, then creates a governed plan for next-step updates and follow-up tasks.

Command sequence

Give this sequence to an agent or run it yourself. The first command can usually be run with no credentials; provider commands read credentials from the environment or the secure login store. 

fullstackgtm call parse --transcript call.txt --title "Acme discovery" --out parsed.json
fullstackgtm call classify --call parsed.json
fullstackgtm call score --call parsed.json
fullstackgtm call link --attendees jane@acme.com --provider hubspot
fullstackgtm call plan --call parsed.json --deal <dealId> --provider hubspot --save

Safety invariants

  • Insights carry verbatim quote evidence from the transcript.
  • Deterministic parsing mode is available for free CI and warehouse bulk loads.
  • Deal linking returns confidence and a written reason, not a silent guess.
  • Next-step writes go through the same approve/apply lifecycle as every other operation.

Why agents should trust this path

Call workflows in the core package expose parse, classify, score, link, and plan verbs, with LLM extraction using your own key or deterministic fallback.

Agent install docs Benchmark skill.md

Frequently asked questions

Does fullstackgtm store my call data?

The CLI runs in your environment. You decide where parsed JSON, warehouse rows, or reports are stored.

Can we use our own sales rubric?

Yes. `call score --rubric rubric.json` accepts custom weighted dimensions and evidence cues.

Ready to build your GTM data foundation?

Book a 30-minute call. We'll map your current stack, identify the gaps, and outline what Stage 3+ looks like for your team.