Detect contract compliance violations with Notion, Google Sheets and Groq
Ready for 3.0What this workflow does
This AI workflow has 14 nodes and runs on a schedule (every day at 06:00). Along the way it connects Notion, Google Sheets and Groq Chat Model.
How it runs
Trigger: On a schedule (every day at 06:00).
- Fetch Active Contracts (Notion): get many (database page)
- Fetch Recent Transactions (Google Sheets): uses Google Sheets
- Compare Terms vs Actuals (Code): runs custom JavaScript code
- Violation Detected Router (If): checks a condition and branches into true / false
- Fetch Violation History (Google Sheets): uses Google Sheets
- Log Compliant Transactions (Google Sheets): append
- Analyze Trends & Leakage (Code): runs custom JavaScript code
- Batch Current Violations (Loop Over Items (Split in Batches)): loops over the items in batches
- AI Analysis Chain (Basic LLM Chain): sends a prompt to an LLM, with model: Groq Inference Engine; output parser: Enforce JSON Schema
- Extract AI Recommendations (Edit Fields (Set)): sets 3 fields: action_category, urgency, recommendation
…plus 1 more step. 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 (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Notion
n8n-nodes-base.notion - Google Sheets
n8n-nodes-base.googleSheets - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Edit Fields (Set)
n8n-nodes-base.set
From the author
Quick overview This workflow runs daily to compare procurement transactions in Google Sheets against active contract terms stored in Notion, flags pricing/SLA/volume violations with calculated leakage, and uses Groq LLM analysis to generate corrective…