Monitor grid telemetry and automate compliance alerts with GPT-4o and Slack
Go to WorkflowDescription
How It Works
This workflow automates real-time energy grid telemetry ingestion, compliance validation, and multi-channel reporting for grid operators, energy managers, and compliance teams. Telemetry data arrives via webhook and is routed to a central Coordination Agent with persistent memory. Four specialised AI sub-agents operate in parallel: Grid Signal Agent (validates signals via Telemetry Validation Tool and parses structure), Compliance Agent (checks against compliance history), Reporting Agent (generates structured reports), and Notification Agent (triggers Slack alerts). Results flow into a Prepare Telemetry Storage node, then branch into three outputs, validated telemetry stored to a grid database, compliance alerts prepared and stored, and email reports dispatched. This eliminates manual grid monitoring, accelerates anomaly response, and maintains a continuous compliance audit trail across energy infrastructure.
Setup Steps
Configure webhook URL in Grid Telemetry Webhook node.
Set AI model credentials (OpenAI/Anthropic) in all agent and model nodes.
Connect Slack credentials and target channel to Slack Notification Tool node.
Configure email credentials in Send Report Email node.
Connect database/Google Sheets credentials.
Prerequisites
Slack workspace and bot token
Email account (SMTP or Gmail OAuth2)
Database or Google Sheets for telemetry and alert storage
Use Cases
Real-time anomaly detection and alerting across smart grid sensor networks
Automated regulatory compliance reporting for energy grid operators
Customisation
Extend Compliance Agent thresholds to match regional grid standards
Replace Slack with Teams or PagerDuty for incident escalation
Benefits
Eliminates manual telemetry review — processes grid events at machine speed