How Aeon Hire Uses AI Sourcing and Predictive Analytics to Save Time and Improve Hiring Quality

By: GoBeyond Team
July 27, 2025
3 min read
Aeon Hire AI sourcing and scheduling dashboard

Quick Overview

Aeon Hire employs AI tools that scan web and job boards using multiple data points beyond keywords, including public work samples, to predict candidate fit, turnover risk, and performance. The platform automates interview coordination and candidate communications, generating real-time pipeline analytics to enhance hiring outcomes.

Aeon Hire
Aeon Hire
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Improving candidate sourcing accuracy and reducing administrative burden on recruiters
Key Metrics

- Saved recruiting teams an average of 23 hours per week
- Improved candidate prioritization
- 36% time saved on interview scheduling
- Enhanced hiring quality and retention forecasting

The Problem

Manual candidate sourcing and scheduling were inefficient and prone to errors, limiting hiring quality and speed.

The Solution

Implemented AI-powered sourcing tools and predictive analytics to identify top candidates, automate interview scheduling, and provide actionable pipeline insights.

Results

- Increased recruiter productivity
- Improved candidate quality and retention
- Reduced time spent on scheduling and coordination

Details

Industry
Recruitment
Departments
Human Resources & People Ops
Data & Analytics
Use Cases
Recruiting & Hiring
Data Analysis
Predictive Modeling
Tags
Machine Learning
Predictive Modeling
Time-Saving
HR & People Ops
Enhanced Decision-Making
AI Tools Used
No items found.
Sources
https://www.talentmsh.com/insights/ai-in-recruitment

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