Generate board-ready workforce analytics and talent reports with GPT-4o

Intelligent workforce analytics and talent strategy report automation How It Works This workflow automates end-to-end workforce analytics and board-level talent strategy reporting using a multi-agent AI orchestration system. Designed for HR leaders, people analytics teams, and CHROs, it eliminates manual effort in compiling workforce insights and translating them into executive-ready reports. The pipeline begins with a scheduled trigger that loads employee datasets and aggregates HR records. It then builds a skill similarity index and prepares a structured analytics dataset. A Main Orchestrator Agent coordinates two specialised sub-agents: a Workforce Analytics Agent (using SHAP value analysis and statistical tools) and a Talent Strategy Agent (leveraging skill similarity search). Results are parsed into a Board Report JSON schema, stored in a report repository, and optionally delivered via webhook. The system enables data-driven talent decisions at scale. Setup Steps 1. Add OpenAI or compatible LLM credentials for all Chat Model nodes. 2. Configure employee dataset source (e.g., Google Sheets, database, or CSV node). 3. Set the Schedule Trigger interval (daily/weekly) to match reporting cadence. 4. Update the Prepare Report Storage node with your target storage path or bucket. 5. Configure Optional Report Delivery webhook URL or email endpoint if needed. 6. Verify the Board Report JSON Schema matches your organisation's reporting fields. Prerequisites - OpenAI or compatible LLM API credentials - Employee dataset (CSV, Google Sheets, or DB) - Webhook endpoint or email (optional delivery) Use Cases - Automated monthly board talent reports for CHROs Customisation - Swap LLM models per agent for cost/performance balance Benefits - Eliminates manual HR reporting effort