AI Workflow Templates
AutomationintermediateHITL requiredupdated 2026-08-11

Meeting Notes → CRM Update

Turn a call transcript into a structured CRM update: next steps, deal stage, risks, and a follow-up draft.

#crm#sales#transcription#automation
View source →

Tools in the pipeline

  • llm
    summarizer
    Extract decisions, objections, commitments.
  • llm
    field-mapper
    Align to CRM fields as a proposed diff.
  • human
    rep-review
    Confirm the diff before write-back.
  • api
    crm-writer
    Patch the record only after confirm.
Stack: transcript · LLM · CRM API

What it does

Converts a sales-call transcript into fields your CRM actually stores: proposed next step, updated deal stage, identified risks, and a follow-up email draft. All as a structured object a human confirms before write-back. Same shape as ARC's FieldNote portfolio candidate.

Pipeline

  1. Summarize — extract decisions, objections, and commitments.
  2. Map — align to CRM fields (stage, next step, close date, risk).
  3. Draft — write a follow-up email referencing the specific commitments.
  4. Stage — present the proposed update as a diff against the current record.
  5. Write-back — on human confirm, patch the CRM via its API.

Guardrails

Only propose a stage change the transcript supports; show the evidence line. Never overwrite a human-entered field silently. Always diff and confirm. Store the transcript reference with the update for auditability.

Structural dry-run

No model call. Validates required fields only.

Prefills the example payload for Discovery call. Edit it, then run.

Related