Detect AML Risk in Google Sheets with Groq AI in n8n Workflow

Detect AML Risk in Google Sheets using Groq AI—powered inside n8n

Run an n8n workflow that reads transaction rows from Google Sheets, uses Groq’s Chat Model to classify AML risk (LOW/MEDIUM/HIGH) and generate a one-line narrative, then writes the AI analysis back to the exact matching row—automating your AML risk triage directly where your data already lives.

What this workflow does

• Manual execution in n8n: The workflow runs when you manually trigger it in the n8n editor.
• Reads transactions from Google Sheets: It pulls transaction rows from a specified worksheet.
• AI AML classification with Groq: For each transaction, the workflow sends transaction details to the Groq Chat Model via an LLM chain to output:
  • AML risk level: LOW / MEDIUM / HIGH
  • One-line analysis: A concise narrative with recommended actions.
• Updates the original row: The workflow writes the generated AI_Analysis back to Google Sheets by matching Transaction_ID.

Use cases

• Quickly review flagged transactions in a shared Google Sheet used by an ops or compliance team.
• Use n8n to batch-triage transaction sets and document risk outcomes back into your existing reporting sheet.
• Prototype AML risk workflows for SaaS operations teams before integrating deeper tooling.

Technical details

• Trigger: Manual Trigger in n8n.
• Google integration: Google Sheets node for reading and updating rows in the same worksheet.
• LLM layer: LangChain nodes using Groq Chat (openai/gpt-oss-120b) to classify AML risk and produce a one-line analysis.
• Workflow output: Writes to the AI_Analysis column by Transaction_ID.

Setup requirements

• Connect Google Sheets OAuth2 and set the target spreadsheet and sheet.
• Connect a Groq API credential and verify openai/gpt-oss-120b is available.
• Ensure your sheet includes: Transaction_ID, Amount_EUR, Country, Account_Age_Days, Transactions_Today, and AI_Analysis.