BambooHR AI-Powered HR Benefits and Company Policies Chatbot with Employee Lookup

HR teams and companies that use BambooHR to manage employee data. It helps employees get quick answers on policies and benefits without calling HR. This workflow builds an AI chatbot. The chatbot answers employee questions about company policies, benefits, 401k, and expenses. It pulls info from PDF files stored in BambooHR. It also looks up employee details like job title, department, and supervisor. The AI uses smart search to find the right answers and contacts. Connect your BambooHR account to fetch files and employees. Set up a Supabase project for the vector store. Add OpenAI API key for AI features. Upload PDF files (handbook, policies) to BambooHR under 'Company Files' category. Activate the main workflow and the sub-workflow for employee lookup. Test with the manual trigger first. n8n account with Langchain nodes. BambooHR API access. Supabase database. OpenAI API key. PDF files in BambooHR. Change the system prompt to fit your company rules. Add more tools like email sending. Adjust chunk sizes for better search. Add more file categories or integrate other HR systems. Key Technologies: n8n,BambooHR,Supabase (Vector Store),OpenAI (Embeddings & Chat Models),Langchain (Agents, Tools, Parsers) Automation Value: Saves HR time by handling common questions automatically. Gives employees 24/7 access to policy info and contacts. Reduces errors in employee data lookups with AI intelligence. Scales for large teams by using vector search on documents. Integrates AI to decide when to fetch employee details or escalate. Best Practices: Use filters early to avoid processing unnecessary data. Set chunk overlap in splitters for better context in RAG. Provide detailed system prompts to guide AI behavior. Test sub-workflows separately for reliability. Monitor API usage as fetching all employees can be costly for large orgs. Add error handling nodes for API failures. Keep memory window size appropriate to balance context and cost.