AI Job Candidate Recommendation

Feature Overview:

The ZenAI Candidate Recommendation feature is an intelligent matching engine designed to enhance talent selection speed and accuracy. It automatically analyzes and ranks candidates based on holistic job-to-profile alignment.

The feature is accessible across both Job Navigation (TJM, DHM, JSM) and Person Navigation (ATS, NHO, EIS):

• Job Side (TJM, DHM, JSM): Recommends candidates tailored to a selected job.
• Person Side (ATS, NHO, EIS): Recommends relevant job openings for a specific candidate.

How to Enable & Configure

1. System & Office Level Configuration

The feature must be enabled globally and can be configured at the Office level:

• Global/Office Activation: Configure via ATM > AI Configuration.
• Access Control: User and role permissions are managed under Manage AI Access (by Person or Role).

Default office settings inherit values that can be adjusted:

2. Job-Level Enablement & Overrides

To enable or customize auto-recommendation for a specific job:

1. Open the Job Add/Edit screen.
2. Click Show More on the bottom left to reveal the Automation section.
3. Toggle the Auto Recommendation field to Enable.
4. Office-level settings are automatically applied to the job. You can customize these settings for the individual job as needed.

Note: Auto-recommendation runs only for jobs with a status where AppliesActive = True and the job stage is Open or In Progress.

How to use

Step 1: Accessing Recommendations

Once enabled, the engine automatically triggers in the background.

Note: New Person Data takes 2 hours to synchronize before it is available for candidate recommendations.

• Look for the AqoreAI Recommendations button (with a bulb icon and count badge) in the person/job entity panel or bottom-right corner.
• Clicking the button redirects you to the candidate navigation view and opens the AI-Driven Candidate Recommendation Insights panel.

Step 2: Reviewing Candidate Insights

The panel displays matched candidates alongside key details:

• Match Score: Displayed as a percentage badge.
• AI Analysis Sideview: Clicking the AI Analysis icon opens a breakdown containing:

1. Matching Summary: High-level summary of alignment.

• Matching Strengths / Reasons: Key factors contributing to the high score.
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  • Matching Gaps: Red flags, missing skills, or potential concerns (e.g., background check status, unavailable dates).

• Feedback Buttons: Recruiter thumbs-up / thumbs-down options to log feedback and improve future AI accuracy.
• Historical Tab: Displays recommendations from the past 6 months.

Step 3: Taking Action

Select single or multiple candidate records to:

• Click Add Candidate to add them directly as job candidates.
• Click Assign to assign them directly to the open position.
• Use Regenerate Recommendation (top-right refresh icon) to purge old matches and re-run the matching engine using real-time data.

• After clicking Regenerate Recommendation, allow approximately 5 minutes for the recommendations to be regenerated.

Categorization & Status Definitions

Recommendation Score Categories

Matches are grouped into four categories based on score percentage:

Candidate Recommendation Statuses

The Recommendation Status reflects real-time availability:

Note on Direct Hire: Direct Hire assignments are excluded during availability calculations. Candidates assigned to Direct Hire roles remain eligible for Temp and Scheduled job recommendations.

Matching Criteria & AI Data Signals

The engine evaluates candidates across two layers of criteria:

PRIMARY MATCH CRITERIA

 CONTEXTUAL & INTENT SIGNALS