Score QSR health inspections and send Gmail compliance digests with OpenAI
Ready for 3.0What this workflow does
This AI workflow has 16 nodes and runs on a schedule (every day at 07:00). Along the way it connects Google Sheets, Gmail and OpenAI Chat Model.
How it runs
Trigger: On a schedule (every day at 07:00).
- Fetch Inspection Batch (Edit Fields (Set)): sets 1 field: records
- Split Out: splits a list into separate items
- Shape Inspection Record (Edit Fields (Set)): sets 5 fields: location_id, location_name, region…
- Loop Over Location Records (Loop Over Items (Split in Batches)): loops over the items in batches
- Compute Regional Risk Score (Code): runs custom JavaScript code
- Extract Violation Severity (Information Extractor): extracts structured fields from text with AI, with model: Run Severity Extraction Model
- Append Summary Row (Google Sheets): append
- Compute Corrective Deadline (Code): runs custom JavaScript code
- Check Escalation Threshold (If): checks a condition and branches into true / false
- Append Compliance Log Row (Google Sheets): append
…plus 4 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Split Out
n8n-nodes-base.splitOut - Code
n8n-nodes-base.code - Google Sheets
n8n-nodes-base.googleSheets - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - Merge
n8n-nodes-base.merge - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches
From the author
Quick overview This workflow runs daily to process multi-location QSR health inspection notes, uses OpenAI to extract violation severity and corrective actions, logs per-location and batch summaries to Google Sheets, and sends Gmail digest and conditional…