Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
How It Works This workflow automates enterprise policy compliance monitoring using AI agents to ensure organizational adherence to regulatory and internal policies. Designed for compliance officers...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.datatable, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.switch, n8n-nodes-base.slacktool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis workflow automates enterprise policy compliance monitoring using AI agents to ensure organizational adherence to regulatory and internal policies. Designed for compliance officers, legal teams, and risk managers, it solves the challenge of manually reviewing vast policy documents and execution logs for violations.The system fetches policy records on schedule, routes them to specialized AI agents (OpenAI for compliance assessment and escalation logic), validates outputs, and logs all actions for audit trails. Email notifications alert stakeholders when violations occur. By automating detection and escalation, organizations reduce compliance risks, accelerate response times, and maintain comprehensive audit documentation—critical for regulated industries like finance, healthcare, and manufacturing.
OpenAI API account with GPT-4 access, policy database/API access
Financial services regulatory compliance (KYC/AML), healthcare HIPAA monitoring
Modify AI prompts for industry-specific regulations, adjust routing thresholds for violation severity
Reduces compliance review time by 90%, eliminates human oversight gaps
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Monitor employee policy compliance with GPT-4, Slack, and email alerts |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Document Extraction, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 12 Feb 2026 |
Use the JSON export at /data/workflows/13318/13318.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How It Works This workflow automates enterprise policy compliance monitoring using AI agents to ensure organizational adherence to regulatory and internal policies. Designed for compliance officers...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.