SALES

Load every scored call into a warehouse table for deal-risk trend analysis

After each scored sales call, appends a normalized row (deal, rep, stage, risk score, sentiment.

CategorySales
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionFetch call transcriptZoomZoom
  • ActionExtract structured risk recordOpenAI
  • ActionEnrich with deal + stage + ownerHubSpotHubSpot
  • OutputUpsert row into warehouse tablePostgreSQLPostgres

What it does

Builds the analytics backbone for your call-scoring program. Every scored call becomes a clean, queryable row, so you can track how risk moves across a deal's life, compare reps, and correlate risk drivers with eventual win rates.

When to use it

Use this when leadership wants to move past per-call alerts to cohort and trend analysis: which risk drivers predict losses, how scores change between discovery and close, and which reps de-risk deals fastest. Pairs with any call-scoring workflow.

How it works

  1. 1Zoom fires a recording-completed event.
  2. 2The transcript is fetched from Zoom.
  3. 3OpenAI returns a structured risk record: score, sentiment, top driver, objections, and committed next steps.
  4. 4HubSpot enriches the row with deal id, stage, value, owner, and close date.
  5. 5The flow upserts a normalized row into the Postgres warehouse table keyed by call id, so re-runs never duplicate. The resulting table feeds your BI dashboards directly.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  4. 4
    Connect PostgresAny Postgres URL — query, write, migrate.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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