Articles on: Automations

How to Auto-Score Candidates with AI

How to Auto-Score Candidates with AI


Automatically evaluate candidates with AI when they reach specific pipeline stages.


How It Works


When a candidate enters a stage with AI scoring automation:

  1. System triggers AI evaluation
  2. AI analyzes candidate against your criteria
  3. Score appears in candidate profile
  4. Optional: Move candidate based on score


Setting Up Auto AI Scoring


Prerequisites

  1. Set up scoring criteria on job's AI Scoring tab How to Auto-Score Candidates with AI: Prerequisites
  2. Have sufficient AI credits in your account


Create the Automation

  1. Open a job
  2. Go to the Workflow tab
  3. Click the bolt icon on the target stage
  4. Click Add Automation
  5. Select AI Score How to Auto-Score Candidates with AI: Create the Automation
  6. Configure options


Configuration Options


Move If Score Above

Set a threshold score. Candidates scoring above this are automatically moved to a specified stage.


Example: Score above 70 → Move to "Phone Screen"


Disqualify If Score Below

Set a minimum threshold. Candidates below this are automatically disqualified.


Example: Score below 40 → Disqualify


Both Options Together

Create automatic routing:

  • Score 70+ → Move to "Interview"
  • Score 40-69 → Stay for manual review
  • Score below 40 → Disqualify


Example Automation Flows


High-Volume Screening

Stage: Applied

  • Auto AI Score
  • Score 60+ → Move to "Qualified"
  • Score below 40 → Disqualify How to Auto-Score Candidates with AI: High-Volume Screening
  • Purpose: Filter large applicant pools quickly


Post-Questionnaire Evaluation

Stage: Questionnaire Complete

  • Auto AI Score (uses questionnaire data)
  • Score 75+ → Move to "Phone Screen"
  • Purpose: Evaluate detailed responses


Two-Phase Scoring

Stage 1: Applied

  • Standard model AI Score
  • Score 50+ → Move to "Under Review"


Stage 2: Under Review

  • Premium model AI Score (deeper analysis)
  • Score 70+ → Move to "Interview"


Best Practices


Pre-Screen First

Save AI credits by pre-screening:

  1. Use knockout questions to eliminate unqualified
  2. Only AI score candidates who pass basics


Set Appropriate Thresholds

  • Too high: Missing good candidates
  • Too low: Not filtering effectively
  • Start conservative, adjust based on results


Combine with Manual Review

AI scoring assists, not replaces, human judgment:

  • Review borderline scores manually
  • Calibrate AI criteria based on outcomes
  • Use for prioritization, not final decisions


Credit Considerations


  • Each AI score uses credits from your plan
  • Premium model uses ~10x more credits
  • Monitor usage in Settings / Billing
  • Pre-screen to reduce unnecessary scoring

Updated on: 18/06/2026

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