AI Agents

Intelligent company policies and benefits assistant powered by AI

50 nodes 298 135 Automatic trigger
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Workflow Description

Automate analysis of company policy and benefits documents using advanced OpenAI models. Extract key information, embed it semantically, and connect with Bamboo HR data to answer employee inquiries instantly. Distribute verified responses across multiple communication channels for consistent company guidance.

How it works

  1. 1.Load policy and benefits documents, then split them into processable segments
  2. 2.Embed text semantically and store in vector database for fast retrieval
  3. 3.Process employee queries through intelligent chat model with contextual memory
  4. 4.Filter and format results based on employee role and department
  5. 5.Publish approved responses to Twitter/X and internal communication systems

Use cases

  • Instant employee support for benefits, leave, and insurance policy questions
  • Searchable 24/7 company policy handbook powered by natural language understanding
  • Automated policy update distribution and acknowledgment tracking across workforce

Requirements

  • Valid OpenAI API key with access to current GPT models
  • Company policy documents prepared in PDF or text format beforehand
  • Active Bamboo HR connection to retrieve accurate employee data
  • Twitter/X account access and posting permissions configured

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Document Default Data Loader OpenAI Text Splitter Memory Vector Store Tool Output Parser Bamboo Hr Chat Trigger Twitter/X If LLM Chain AI Agent

Details

Trigger Automatic trigger
Nodes 50
Apps 13
Views 298
Downloads 135

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (50)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Default Data Loader

Document Default Data Loader

#2

Embeddings OpenAI

OpenAI

#3

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

#4

Window Buffer Memory

Memory Buffer Window

#5

OpenAI Chat Model

OpenAI

#6

Vector Store Tool

Tool Vector Store

#7

OpenAI Chat Model1

OpenAI

#8

Embeddings OpenAI1

OpenAI

#9

Employee Lookup Tool

Tool Workflow

#10

OpenAI Chat Model2

OpenAI

#11

OpenAI Chat Model3

OpenAI

#12

OpenAI Chat Model4

OpenAI

#13

Auto-fixing Output Parser

Output Parser Autofixing

#14

OpenAI Chat Model5

OpenAI

#15

Structured Output Parser

Output Parser Structured

#16

Sticky Note

Sticky Note

#17

Sticky Note1

Sticky Note

#18

Sticky Note2

Sticky Note

#19

GET all files

Bamboo Hr

#20

Sticky Note3

Sticky Note

#21

Filter out files from undesired categories

Filter

#22

Split out individual files

Split Out

#23

Filter out non-pdf files

Filter

#24

Download file from BambooHR

Bamboo Hr

#25

Supabase Vector Store

Vector Store Supabase

#26

Sticky Note4

Sticky Note

#27

Employee initiates a conversation

Chat Trigger

#28

Supabase Vector Store Retrieval

Vector Store Supabase

#29

Sticky Note5

Sticky Note

#30

AI-Powered HR Benefits and Company Policies Chatbot

Execute Workflow Trigger

#31

Text Classifier

If

#32

GET all employees

Bamboo Hr

#33

Filter out other employees

Filter

#34

Stringify employee record for response

Set

#35

GET all employees (second path)

Bamboo Hr

#36

Extract departments

Aggregate

#37

Ensure uniqueness in department list

Set

#38

Extract department

Information Extractor

#39

Retrieve all employees

Bamboo Hr

#40

Filter out other departments

Filter

#41

Extract relevant employee fields

Aggregate

#42

Identify most senior employee

LLM Chain

#43

Format name for response

Set

#44

HR AI Agent

Agent

#45

Sticky Note6

Sticky Note

#46

Sticky Note7

Sticky Note

#47

Sticky Note8

Sticky Note

#48

Sticky Note9

Sticky Note

#49

Sticky Note10

Sticky Note

#50

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