Classify KYC risk from form submissions with OpenAI, Google Sheets and Slack

KYC Risk Profiling Form with n8n, OpenAI, Google Sheets & Slack

This workflow captures customer KYC details through an n8n Form, validates the submitted input, sends the cleaned data to OpenAI for automated risk profiling, formats the AI response and routes the result based on whether the applicant is classified as High Risk or not. High-risk cases are saved separately and trigger a Slack alert, while lower-risk cases are simply logged into Google Sheets for recordkeeping and review.

Quick Implementation Steps

1. [Import the workflow into n8n](https://n8n.partnerlinks.io/om1efg2qgvwi). 2. Configure your OpenAI credentials. 3. Connect your Google Sheets credentials. 4. Connect your Slack credentials. 5. Open the KYC Form Submission node and publish the form. 6. Make sure your form collects these exact fields: - Income - Geography - Occupation 7. Configure the two Google Sheets nodes for: - High-risk records - Normal-risk records 8. Set the Slack channel for high-risk alerts. 9. Test the form using sample submissions. 10. Activate the workflow once everything is verified.

What It Does

The KYC Risk Profiling Form workflow automates the first layer of customer risk assessment by collecting basic applicant information and using AI to classify the risk level. Instead of manually reviewing every entry, the workflow accepts a form submission, validates the data and sends it to an AI model that returns a structured risk decision.

Once the AI analysis is returned, the workflow extracts the important risk fields, formats them into a clean structure and checks whether the applicant should be considered High Risk. If the risk category is high, the record is routed into a separate review path where it is saved and also sent to Slack as an alert. If the customer is Low or Medium risk, the record is saved without triggering an alert.

This makes the workflow useful as a lightweight KYC intake and triage layer, especially for teams that want faster screening without building a full compliance platform.