🔬 Enforce marketplace seller compliance with GPT-4o, Gmail and Slack
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Description
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
🔗 Nodes Used
Slack, Webhook, Gmail, AI Agent, OpenAI Chat Model, Simple Memory
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File