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

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Built by Cheng Siong Chin Cheng Siong Chin
Created on June 05, 2026

Description

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
Configure API credentials with Llama-3.1-70B-Instruct model access
Set up weekly schedule trigger for Monday morning analysis runs
Configure human approval node with workforce planning lead email address
Customize AI agent prompts for organization-specific workforce metrics and KPIs
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

Nodes Used (6)

AI Agent
@n8n/n8n-nodes-langchain.agent
AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool
Code
n8n-nodes-base.code
Code Tool
@n8n/n8n-nodes-langchain.toolCode
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured