Robertson & Company piloted a fully AI-powered recruiter—known internally as Alex—to handle initial candidate screening and interview scheduling across high-volume and niche programs. Unlike chatbot-enhanced ATS systems, Alex is a digital recruiter capable of conducting structured interviews, probing follow-ups, and escalating to human recruiters where needed. The pilot revealed five critical lessons about what AI does well, what it amplifies, and where human input remains irreplaceable. For senior executives overseeing contingent workforce programs, this case study offers measurable ROI, speed-to-hire advantages, and a repeatable model for candidate experience at scale.
AI Amplifies Process – It Doesn’t Fix It
If your current workflows are broken, AI will surface the issues more quickly—not solve them. Inconsistent screening criteria, poor escalation logic, or unclear candidate messaging results in automation at scale—but with the same issues. Clean design and clear decision trees are essential.
Senior Candidates Appreciate Speed and Professionalism
Contrary to expectation, senior and mid-level professionals responded positively to Alex. They valued the ability to engage with a recruiter on their schedule, receive structured questions, and get follow-up communication within hours. Respect and response were more valued than whether a human was involved.
Consistency at Scale Builds Brand Trust
Every applicant received a structured, on-brand experience. Same tone. Same quality. Same cadence. Whether they interviewed at midnight or midday, the feedback loop was consistent—something very few human teams can replicate at volume.
Issues Are Escalated and Resolved Faster
Alex flagged questionable answers, low confidence responses, and high-risk indicators in real time. Recruiters received alerts and followed up manually. Instead of triaging hundreds of resumes, the team could focus on meaningful candidate interventions.
The Cost per Screen Was a Fraction of Human-Led Recruiting
A strong recruiter earning $80–130K annually can screen approximately 1,500–2,000 candidates per year. That equates to $40+ per screen. In contrast, Alex conducted thousands of screens at under $1 per interaction. For 25,000 jobs requiring 3 screens each, this translated to a savings of over $3Mannually.
ROI Snapshot: Human vs. AI Screening
- Traditional screening: $3,1240,000/year (25,000 roles x 3 screens x ~$41.66 per screen)
- AI screening (Alex): ~$75,000/year (same volume, ~$1/screen)
- Annual Savings: ~$3,049,000
Traditional vs. AI Screening
| Recruiter Type | Cost per Screen | Response Time | Experience Consistency | 24/7 Availability |
|---|---|---|---|---|
| Human Recruiter | $41.66 | 1–3 days | Variable | No |
| Alex (AI) | <$1 | <1 hour | Consistent | Yes |
The Hidden Cost of Ignoring Applicants
One enterprise banking client received over 2 million applications from 1.8 million people in a single year. Fewer than 2% received any meaningful response. AI recruiters can help convert those application black holes into brand-positive experiences that engage talent—without requiring massive human investment.
