Block 1 - Daily Metrics Collection
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
How It Works This workflow automates daily business metrics collection, analysis, and reporting using a multi agent AI architecture in n8n. Designed for operations teams, analysts, and business man...
n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.toolcalculator, n8n-nodes-base.googlesheetstool, @n8n/n8n-nodes-langchain.toolcode
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 daily business metrics collection, analysis, and reporting using a multi-agent AI architecture in n8n. Designed for operations teams, analysts, and business managers, it eliminates manual data review by orchestrating four specialised sub-agents under a central Planning Agent. Each agent handles a distinct function: metrics computation, trend analysis, alert detection, and report generation. The Planning Agent coordinates task delegation via chat memory, ensuring contextual continuity across agent calls. Raw metrics are read from Google Sheets, processed through a Calculator and Trend Analysis Code Tool, and anomalies trigger Slack alerts in real time. A Structured Output Parser formats the consolidated findings, which are appended back to Google Sheets and simultaneously dispatched via Gmail and Slack. This end-to-end pipeline replaces fragmented manual workflows, delivering consistent, timely insights with full audit trails.
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.
Showing the first 24 of 27 workflow blocks. Download the JSON for the full node graph.
| Workflow | Analyze daily metrics with multi-agent GPT-4o, Google Sheets, Slack and Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 27 |
| Categories | Document Extraction, AI Chatbot |
| Author | Cheng Siong Chin |
| Published | 15 Apr 2026 |
Use the JSON export at /data/workflows/15083/15083.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 daily business metrics collection, analysis, and reporting using a multi agent AI architecture in n8n. Designed for operations teams, analysts, and business man...
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 Chatbot use case.