The Challenge
Faced with over 70,000 applications annually for just 3,000 roles, the recruiting team was drowning in volume. A new Indeed integration had opened the floodgates—but instead of driving efficiency, it triggered a crisis of capacity.
Key Pain Points
- Manual Overload: Recruiters were trapped in resume scanning and spreadsheet updates, with no automation in sight.
- Signal vs. Noise: High volumes made it hard to identify top candidates—great fits were getting lost in the pile.
- Scaling Constraint: Growing headcount meant hiring more recruiters—not a sustainable path.
- Downstream Bottlenecks: Underqualified candidates clogged manager pipelines, slowing interview cycles and damaging hiring velocity.
- Team Burnout: Talented recruiters were stuck doing low-leverage work. The volume and repetition were unsustainable.
They needed a new approach—one that could scale without compromising quality.
The Neesh Solution
Neesh introduced a systemized, AI-first recruitment process using our Automate → Augment → Transform methodology. We deployed a custom "Recruitment Screener" GPT to serve as a digital teammate, integrated directly into existing workflows.
Automate: Eliminate Repetition at Scale
- Custom GPT Persona: Modeled after an internal recruiter, trained on job descriptions, ideal profiles, company values, and resume red flags.
- SOP Logic Memory: Embedded prompt logic like:
- "If candidate has 2+ years of ASE experience and a CDL license, rate 9/10 for Tire Technician role."
- "If candidate has 2+ years of ASE experience and a CDL license, rate 9/10 for Tire Technician role."
- Resume Parsing Engine: The AI automatically extracted and structured resume data, tiered candidates, and generated summaries—no manual review required.
Augment: Elevate Recruiter Roles
- Recruiters uploaded new applications; the AI returned summaries and alignment scores within seconds.
- High-quality candidates were flagged and pushed forward for review—giving recruiters a head start.
- Instead of reading 100 resumes, the team focused on strategic evaluation and relationship-building.
Transform: Redesign Hiring from the Inside
- The AI screener became a permanent part of the hiring flow.
- Candidate quality improved.
- Time-to-hire shrank.
- Recruiters were redefined as talent advisors, not admin processors.
The Impact
✅ Thousands of Hours Reclaimed
Manual screening dropped by 80%—freeing up tens of thousands of hours annually for high-leverage work.
🌟 Higher Candidate Quality
Strong-fit applicants rose to the top. Managers received better shortlists, faster, improving interview outcomes.
⏱️ Faster Time-to-Hire
Hiring velocity increased significantly. AI surfaced the best matches instantly—no more waiting on reviews.
🧱 Team Transformation
Recruiters reported feeling energized and strategic. Instead of resume fatigue, they focused on coaching, advising, and improving candidate experience.
Why It Works: The Neesh Methodology
Automate
Replaced repetitive resume scanning with structured, intelligent AI filtering embedded in SOP logic.
Augment
Freed recruiters to operate at their highest level—reviewing summaries, not raw resumes.
Transform
Reshaped the hiring system to be scalable, proactive, and deeply human—powered by AI, not buried by it.
What Makes Neesh Different
At Neesh, we don’t drop in tools—we embed intelligence where it matters.
Our Automate–Augment–Transform model ensures teams don’t just go faster—they get smarter, more strategic, and more human-centered as they scale.
This wasn’t just a hiring fix. It was a full-system upgrade—turning AI into a recruiting teammate, not a tool.
