Intelligent seller governance enforcement and compliance automation
Intelligent seller governance enforcement and compliance automation How It Works This workflow automates marketplace seller compliance monitoring and enforcement for platform trust, legal, and operations teams. It receives seller data via webhook, routes it through a central Governance Agent backed by persistent memory, and fans out to four specialised AI sub-agents: Policy Monitoring (with compliance scoring and violation severity calculation), Appeals Review, and Enforcement Decision. A Structured Enforcement Output parser standardises results before routing to enforcement actions. The workflow then prepares an audit log, writes to an Enforcement Audit Trail, and triggers multi-channel notifications — Gmail appeal decisions, warning emails, Slack alerts to the compliance team, and suspension notices. Finally, seller records are updated in a Seller Compliance Records store. This eliminates manual case reviews, ensures consistent policy application, and creates a full auditable enforcement trail at scale. Setup Steps Configure webhook URL in Receive Seller Data node and secure with authentication. Set AI model credentials (OpenAI/Anthropic) in all agent and model nodes. Add Slack credentials and target channel to Notify Compliance Team node. Connect database/Google Sheets credentials. Activate and test with a sample seller payload. Prerequisites Gmail account with OAuth2 credentials Slack workspace and bot token Database or Google Sheets for audit and records storage Use Cases Automated suspension and warning issuance for policy-violating marketplace sellers Customisation Swap enforcement channels (e.g., replace Gmail with SendGrid) Benefits Eliminates manual seller case reviews — scales enforcement without added headcount. An n8n automation workflow template by Cheng Siong Chin.
Cheng Siong Chin
web
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