Toggle off the simplify option to ensure categories are retrieved as well

This employee lookup tool gives the AI Benefits and Company Policies chatbot additional superpowers by allowing it to search for an individual or a department to retrieve contact information from BambooHR.

AI Chatbot Operating Guidelines

• When an employee asks for a contact person, first attempt to find the relevant contact in company_files.
• If a contact person is found but their details (e.g., email or phone number) are missing, use the employee_lookup_tool to retrieve their contact details.
• If no contact person is found:

1. Use the employee_lookup_tool with "HR" (or another relevant department) to retrieve the most senior person in that department.
2. If no senior contact is found, ask the employee for their name.
3. Use the employee_lookup_tool to retrieve their supervisor’s name.
4. Use the employee_lookup_tool to retrieve their supervisor’s details.
5. Provide the supervisor's contact information and recommend them as the best next point of contact.

GetAll employees from BambooHR

BambooHR does not offer search by {field} functionality for its /employees endpoint, so filtering must be done after data retrieval. This can be inefficient for very large organizations where there may be multiple employees with the same name or simply a large number of employees.

GET singular employee by name path

This path may be used multiple times by the HR AI Agent to look up the employee's details, and then to look up their supervisor's details.

GET senior leader of department path

This path would normally only be used when no other contacts can be identified from the company_files. The employee can retrieve the contact details for the most senior leader of a department should they request it.

Final node returns employee name

The AI Agent can then call the employee lookup path to retrieve details, if requested.

About the maker

Find Ludwig Gerdes on LinkedIn

BambooHR AI-Powered Company Policies and Benefits Chatbot

Purpose and structure

This folder contains the BambooHR AI-Powered Company Policies and Benefits Chatbot workflow. Its executable nodes use agent, aggregate, bambooHr, chainLlm, chatTrigger, documentDefaultDataLoader, embeddingsOpenAi, executeWorkflowTrigger, filter, informationExtractor, lmChatOpenAi, manualTrigger, memoryBufferWindow, outputParserAutofixing, outputParserStructured, set, splitOut, textClassifier, textSplitterRecursiveCharacterTextSplitter, toolVectorStore, toolWorkflow, vectorStoreSupabase. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

When clicking ‘Test workflow’, Employee initiates a conversation, AI-Powered HR Benefits and Company Policies Chatbot

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Splitout/1352_Splitout_Filter_Automate_Triggered.json MIT; preserve source notices.