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:
- System triggers AI evaluation
- AI analyzes candidate against your criteria
- Score appears in candidate profile
- Optional: Move candidate based on score
Setting Up Auto AI Scoring
Prerequisites
- Set up scoring criteria on job's AI Scoring tab

- Have sufficient AI credits in your account
Create the Automation
- Open a job
- Go to the Workflow tab
- Click the bolt icon on the target stage
- Click Add Automation
- Select AI Score

- 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

- 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:
- Use knockout questions to eliminate unqualified
- 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: 22/12/2025
Thank you!
