---
title: "AI Job Candidate Recommendation"
slug: "ai-job-candidate-recommendation"
updated: 2026-09-21T10:27:10Z
published: 2026-09-21T10:27:10Z
canonical: "zenoplesupport.aqore.com/ai-job-candidate-recommendation"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://zenoplesupport.aqore.com/llms.txt
> Use this file to discover all available pages before exploring further.

# 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:

| **Field** | **Description** | **System Default** |
| --- | --- | --- |
| **Auto Recommendation** | Enables/disables automatic candidate matching for the job. | Disable |
| **Max Recommendation Count** | Maximum number of candidate matches to generate. | 10 |
| **Recommendation Score Threshold** | Minimum match percentage required to appear in results. | 40 |
| **Max Recommendation Distance (Miles)** | Maximum radius between candidate address and job site. | 50 miles |

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 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:

| **Category** | **Score Range (Match %)** | **Recommended Strategy** |
| --- | --- | --- |
| **Very High** | **90%+** | Immediate fit; review and add candidates quickly. |
| **High** | **75% – 89%** | Strong candidate pool; check availability and pay expectations. |
| **Medium** | **50% – 74%** | Secondary pool; useful for backup or general roles. |
| **Low** | **Less than 50%** | Broad pool; review only for hard-to-fill or niche positions. |

**Candidate Recommendation Statuses**

The Recommendation Status reflects real-time availability:

| **Status** | **Definition** |
| --- | --- |
| **Available** | Candidate is free and not assigned to any active job. |
| **Assigned** | Candidate is currently assigned to this specific job. |
| **PlacedElseWhere** | Candidate is currently assigned to a different active job. |
| **Shortlisted** | Candidate has been added as a candidate for this job. |

**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

| Job Title • Position • Required Skills • Work History Education Degree • Candidate Location/Distance • Office & Status |
| --- |

CONTEXTUAL & INTENT SIGNALS

| Top 5 Assignment/Recruiter Comments • Past Performance Ratings End Reason of Prior Jobs • Background Check & Assessment Status Expected Pay vs. Job Rate • Application Recency & Communication |
| --- |

Best Usage Guide: [https://zenoplesupport.aqore.com/docs/zenai-match-recommendation-best-usage-guide](https://zenoplesupport.aqore.com/docs/zenai-match-recommendation-best-usage-guide)