How General Electric (GE) Uses AI to Enhance Employee Performance and Predictive Maintenance

By: GoBeyond Team
July 3, 2025
3 min read
GE AI-powered employee performance and predictive maintenance dashboards

Quick Overview

General Electric leverages AI-powered tools to analyze employee performance data and deliver personalized feedback, fostering continuous improvement and engagement. Additionally, GE employs AI-driven predictive maintenance systems that monitor equipment via sensors, predict failures, and optimize maintenance schedules, reducing downtime and costs. GE also implemented a digital performance management platform (PD@GE) enabling real-time feedback and goal tracking, improving employee engagement and reducing turnover.

General Electric (GE)
General Electric (GE)
Company Size
~50,000 employees
Revenue Range
$20B+ annual revenue
Primary Challenge
Improving employee performance management and operational efficiency through AI
Key Metrics
\- 10-15% increase in employee engagement\- 15% reduction in voluntary turnover\- 30% reduction in performance review time\- Up to 30% reduction in unplanned equipment downtime\- Significant maintenance cost savings

The Problem

Traditional annual reviews and reactive maintenance led to delayed feedback and costly equipment failures

The Solution

Implemented AI-driven continuous feedback platform PD@GE for employee performance; deployed machine learning predictive maintenance analyzing sensor data for equipment health

Results

\- Enhanced employee productivity and satisfaction\- Faster, data-driven performance evaluations\- Reduced equipment downtime and maintenance costs\- Improved operational reliability and safety

“PD@GE has transformed how we manage performance, enabling continuous feedback and growth.”

GE HR and Operations Leaders

Details

Industry
Manufacturing
Departments
Human Resources & People Ops
Use Cases
Employee Training
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
AI Tools Used
No items found.
Sources
https://www.ge.com/sites/default/files/perspectives-on-ai-hr_a-resource-for-hr-practitioners_august-2023.pdfhttps://www.cubeo.ai/10-use-cases-of-ai-in-hr-with-real-world-case-studies/https://www.linkedin.com/pulse/ai-case-study-saturday-predictive-maintenance-alastair-ppt6ehttps://humansmart.com.mx/en/blogs/blog-how-are-companies-leveraging-technology-to-streamline-the-performance-evaluation-process-in-the-employee-lifecycle-55670https://id.scribd.com/document/406302471/GE-Case-Analysis

More Case Studies

See All
How Lindy.ai Automates Customer Feedback Analysis to Improve CX Across Multiple Industries
Technology & SaaS
How Affectiva Uses AI-Driven Emotion Recognition to Enhance Mental Health Diagnostics and Therapy Personalization
Mental Health
How NASA’s Jet Propulsion Laboratory Uses Trello with Butler AI to Predict Project Roadblocks and Automate Workflow for Complex Missions
Technology & SaaS
How a Large Financial Institution Accelerated Data Retrieval and Decision-Making with Zappr.AI
Finance & Banking
How Metinvest Uses Machine Learning with DevRain to Enhance Multilingual Document Search and Management on Microsoft SharePoint
Construction
How Rogers Communications Improved Sales Forecasting and CRM Data Quality with SalesChoice Insight Engine
Professional Services & Consulting

🤖 Chat with AI

Type...