AI-Powered Customer Feedback Routing with Gmail, Slack, Pipedrive, Zendesk & Notion

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Built by PollupAI PollupAI
Created on June 05, 2026

Description

Who’s it for
This workflow is built for B2B SaaS and CX teams that are drowning in unstructured customer feedback across tools. It’s ideal for Customer Success, Product and Support leaders who want a light “voice of customer engine” without rebuilding their stack: Gmail for interactions, Slack for conversations, Pipedrive for notes and Zendesk for tickets, plus Notion for follow-up tasks. 

How it works / What it does
The workflow runs on a schedule or manual trigger and first sets the CSM’s email address. It then uses an AI “Data agent” to pull recent customer signals from multiple sources: Gmail messages, Slack messages, Pipedrive notes and Zendesk tickets.
A “Signals agent” compresses each piece of feedback into a concise, neutral summary, which is then grouped by topic via a “Clustering agent”. Each cluster gets a label, count and examples.
Finally, an “Action agent” routes clusters based on their label:
Create Zendesk tickets for product/performance issues
Post to a dedicated Slack channel for billing / contract topics
Create Notion tasks for sales-related feedback
Send targeted Gmail messages to the CSM for high-risk or engagement-related items
How to set up
Import the workflow into n8n.
Connect credentials for Gmail, Slack, Pipedrive, Zendesk, Notion and OpenAI.
Update the CSM email in the “Set CSM email” node.
Adjust date filters, send-to addresses and Slack channel IDs as needed.
Enable the schedule trigger for weekly or daily digests.
Requirements
Active accounts & credentials for: Gmail, Slack, Pipedrive, Zendesk and Notion
OpenAI (or compatible) API key for the LLM node
At least one Slack channel for posting feedback (e.g. #billing-feedback)
How to customize the workflow
Change the time window or filters (sender, channel, query) for each data source.
Edit the clustering and routing prompts to match your own categories and teams.
Add new destinations (e.g. Jira, HubSpot) by connecting more tools to the Action agent.
Modify thresholds (e.g. minimum count) before a cluster triggers an action.
Localize labels and email copy to your team’s language and tone.

Nodes Used (5)

AI Agent
@n8n/n8n-nodes-langchain.agent
Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured