AI Agents

Detect workplace discrimination patterns using AI analysis

38 nodes 321 149 Automatic trigger
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Workflow Description

An automation that analyzes employee communications and reports using advanced language models to identify discrimination and bias indicators, classify them by type and severity, and generate visual reports to support human resources decision-making.

How it works

  1. 1.Collect data from communication platforms and internal submission forms
  2. 2.Process text using language models to identify discrimination markers
  3. 3.Classify incidents by type, severity, and affected domain
  4. 4.Generate visual charts mapping detected patterns and trends
  5. 5.Produce executive report with findings and recommendations

Use cases

  • Monitor workplace communications and review digital environments regularly
  • Evaluate employee complaints and identify recurring discrimination patterns
  • Support HR teams in making documented, equitable organizational decisions

Requirements

  • Valid OpenAI API key with appropriate model access
  • Access to employee data, communications, and internal reports
  • Clear data handling policy compliant with privacy and employment regulations

Service Value

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

Apps Used

OpenAI Twitter/X Quick Chart LLM Chain

Details

Trigger Automatic trigger
Nodes 38
Apps 4
Views 321
Downloads 149

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 (38)

/

When clicking ‘Test workflow’

Manual Trigger

#1

OpenAI Chat Model1

OpenAI

#2

OpenAI Chat Model2

OpenAI

#3

Merge

Merge

#4

OpenAI Chat Model

OpenAI

#5

SET company_name

Set

#6

Define dictionary of demographic keys

Set

#7

ScrapingBee Search Glassdoor

HTTP Request

#8

Extract company url path

HTML Page

#9

ScrapingBee GET company page contents

HTTP Request

#10

Extract reviews page url path

HTML Page

#11

ScrapingBee GET Glassdoor Reviews Content

HTTP Request

#12

Extract Overall Review Summary

HTML Page

#13

Extract Demographics Module

HTML Page

#14

Extract overall ratings and distribution percentages

Information Extractor

#15

Extract demographic distributions

Information Extractor

#16

Define contributions to variance

Set

#17

Set variance and std_dev

Set

#18

Calculate P-Scores

Code

#19

Sort Effect Sizes

Set

#20

Calculate Z-Scores and Effect Sizes

Set

#21

Format dataset for scatterplot

Code

#22

Specify additional parameters for scatterplot

Set

#23

Quickchart Scatterplot

HTTP Request

#24

QuickChart Bar Chart

Quick Chart

#25

Sticky Note

Sticky Note

#26

Sticky Note1

Sticky Note

#27

Sticky Note2

Sticky Note

#28

Sticky Note3

Sticky Note

#29

Sticky Note4

Sticky Note

#30

Sticky Note6

Sticky Note

#31

Sticky Note7

Sticky Note

#32

Sticky Note8

Sticky Note

#33

Sticky Note9

Sticky Note

#34

Sticky Note10

Sticky Note

#35

Sticky Note11

Sticky Note

#36

Sticky Note12

Sticky Note

#37

Text Analysis of Bias Data

LLM Chain

#38

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