This workflow analyzes newly created Notes (in Any module) in Zoho CRM, detects customer sentiment using an AI model, updates the related CRM record with custom fields - sentiment label and score, and sends an instant alert whenever negative sentiment is detected. It runs on a scheduled interval and gives teams real-time visibility into customer emotions and potential risks.
Sentiment_Label and Sentiment_ScoreThis workflow automatically monitors Zoho CRM Notes. When a new Note is detected, the text is extracted and analyzed through an AI-powered sentiment model. The AI classifies the text as Positive, Neutral or Negative and produces a numeric sentiment score.
The workflow updates the related CRM module with these values. If the sentiment is negative, a Gmail alert is triggered so your team can follow up quickly. This automation helps organizations maintain high customer satisfaction and detect potential issues early.
Runs periodically to check for new or updated Notes.
Retrieves the most recently modified Note.
Extracts Note text, note_id, parent_id and module name.
Sends text to the AI (via LangChain chain) for sentiment classification.
Writes sentiment data back into the related parent record.
| Issue | Possible Cause | Solution |
|---|---|---|
| Sentiment not updating | Missing Zoho fields | Add custom fields in CRM |
| Note not detected | Fetching only latest note | Increase frequency or widen fetch scope |
| AI output invalid | Prompt mismatch | Update prompt and parser |
| Alerts not sending | Gmail OAuth expired | Reconnect Gmail |
| Incorrect sentiment | Weak prompt instructions | Refine prompt wording |
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