The 2025 Guide to AI Resume Screening
Save hours every week with faster, fairer, and more scalable hiring.
![What [You'll Learn]](/_next/image?url=https%3A%2F%2Fres.cloudinary.com%2Fddzukutpc%2Fimage%2Fupload%2Fv1757335382%2FBR_Web_2_01_6bfded626d.png&w=3840&q=75)
What You'll Learn
- Why traditional screening is broken and how to fix it with AI
- How to define clear criteria and align with hiring managers
- How to implement AI without losing control or fairness
- How to connect Brainner to your ATS and workflows
- How to prove ROI with time saved and better decisions
- How top companies use Brainner to scale screening fast
Part 1: Best Practices
- Why traditional screening is slow, biased, and inconsistent
- How to define objective, data-driven evaluation criteria
- Ways to align with hiring managers on candidate fit
- How to detect bias, fake resumes, and soft skill patterns
Part 2: Getting Approval and Implementing AI
- Choose the right level of automation for your team
- Launch a pilot program and get internal buy-in fast
- Prove ROI with real time and quality improvements
- Connect Brainner to your ATS and workflows
Part 3: Real-World Success Stories
- Pomelo (Greenhouse ATS): Inbound hires jumped from 38% to 54%
- Quandri (Lever ATS): 2,000+ resumes screened, top talent retained
- Accelon (Zoho Recruit ATS): High-volume hiring optimized for a staffing agency
- Seasonal & Campus Hiring: Use cases for surges and entry-level roles
Chosen by Large Enterprises, RPOs, and Startups
