Park Help Scout retro-tagged tickets for review with OpenAI and TeamRetro
UnknownWhat this workflow does
This AI workflow has 14 nodes and runs on Help Scout events (convo.tags). Along the way it connects Help Scout, OpenAI Chat Model and Teamretro (community).
How it runs
Trigger: On Help Scout events (convo.tags).
- If: checks a condition and branches into true / false
- Fetch Conversation Details (Help Scout): get (conversation)
- Set Ticket Details (Edit Fields (Set)): sets 6 fields: subject, customerMessage, number…
- Summarize & Classify Ticket (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI GPT-5 Mini; output parser: Parse Structured Output
- If: checks a condition and branches into true / false
- Fetch Recent Parked Conversations (Team Retro): get many (parked item)
- Remove Token Overlap Duplicates (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Log Duplicate Parking Note (Help Scout): create (thread)
- Add to TeamRetro Park (Team Retro): create (parked item)
…plus 1 more step. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-teamretro is verified or supports 3.0 (used in Fetch Recent Parked Conversations, Add to TeamRetro Park).
Rarely used nodes in this template: n8n-nodes-base.helpScoutTrigger, n8n-nodes-base.helpScout
Nodes used (9)
- Help Scout Trigger
n8n-nodes-base.helpScoutTrigger - If
n8n-nodes-base.if - Help Scout
n8n-nodes-base.helpScout - Edit Fields (Set)
n8n-nodes-base.set - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Team Retro
n8n-nodes-teamretro.teamRetro - Code
n8n-nodes-base.code
From the author
Quick overview This workflow watches for Help Scout conversations tagged “retro”, uses OpenAI to classify and summarise the customer’s first message, deduplicates against recently parked items, then creates a new TeamRetro parking lot item (or skips…