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Analyze workforce data and generate planning reports with GPT-4o

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Analyze workforce data and generate planning reports with GPT-4o preview
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1. Workflow Overview

How It Works This workflow automates workforce intelligence analysis and strategic planning for HR directors, workforce planners, and operations managers in enterprises managing distributed teams. ...

Best for

  • HR automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.toolcode, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title
Analyze workforce data and generate planning reports with GPT-4o
Workflow name
Analyze workforce data and generate planning reports with GPT-4o

How It Works

This workflow automates workforce intelligence analysis and strategic planning for HR directors, workforce planners, and operations managers in enterprises managing distributed teams. It solves the challenge of transforming raw workforce data into actionable insights while maintaining human oversight on critical staffing decisions. Weekly triggers initiate the analysis cycle, generating synthetic workforce metrics that flow through specialized AI agents operating in parallel: workforce intelligence assessment, cognitive forecasting for demand prediction, attrition risk calculation, and intelligence analysis for pattern detection. A planning optimization agent synthesizes findings into mobility recommendations and scenario projections. Results route through human approval for critical workforce changes before generating final reports with strategic recommendations.

Setup Steps

  1. Configure API credentials with Llama-3.1-70B-Instruct model access
  2. Set up weekly schedule trigger for Monday morning analysis runs
  3. Configure human approval node with workforce planning lead email address
  4. Customize AI agent prompts for organization-specific workforce metrics and KPIs
  5. Set up final report distribution to stakeholders

Prerequisites

API key, HR data access (anonymized employee metrics)

Use Cases

Strategic workforce planning, seasonal staffing optimization

Customization

Integrate HRIS systems for live data, add department-specific forecasting models

Benefits

Reduces planning cycle time by 70%, provides predictive insights for proactive decisions

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Weekly Workforce Analysis Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Workflow Configuration

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Generate Mock Workforce Data

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 4 - OpenAI Model - Intelligence Agent

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 5 - OpenAI Model - Planning Agent

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 6 - OpenAI Model - Mobility Agent

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 7 - OpenAI Model - Reporting Agent

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 8 - Intelligence Analysis Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 9 - Planning Recommendations Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 10 - Mobility Workflow Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 11 - Executive Report Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 12 - Mobility Analysis Agent Tool

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 3

Block 13 - Executive Reporting Agent Tool

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 3

Block 14 - Capacity Forecasting Tool

Type / Role
@n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices
Version 1.3

Block 15 - Attrition Risk Calculator Tool

Type / Role
@n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices
Version 1.3

Block 16 - Workforce Intelligence Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 17 - Planning Orchestration Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 18 - Aggregate Intelligence Insights

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 19 - Check Critical Workforce Signals

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 20 - Format Final Workforce Report

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 21 - Flag for Human Review

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 22 - Wait for Human Approval

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 23 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 24 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Showing the first 24 of 28 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Analyze workforce data and generate planning reports with GPT-4o
Complexity advanced
Nodes 28
Categories HR, AI Summarization
Author Cheng Siong Chin
Published 16 Feb 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/13428/13428.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Analyze workforce data and generate planning reports with GPT-4o do?

How It Works This workflow automates workforce intelligence analysis and strategic planning for HR directors, workforce planners, and operations managers in enterprises managing distributed teams. ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 HR, AI Summarization use case.