AI in recruitment
AI improves recruitment mainly at the top of the funnel: discovering candidates who never applied, normalising CVs, and ranking against an explicit role brief. It does not reliably judge seniority, motivation or cultural fit, which is why RHvision keeps every final evaluation with a human consultant.
What AI does well
Coverage and consistency. A model can read every profile in a market in minutes, apply the same criteria to the last CV as to the first, and surface candidates whose titles do not match the search but whose experience does.
- Market-wide sourcing beyond active applicants
- Consistent, fatigue-free first pass
- Normalising titles and stacks across countries
- Drafting role briefs and outreach at scale
Where it goes wrong
Models trained on past hiring reproduce past preferences, including the ones a company is trying to move away from. They also over-reward keyword density, which rewards CV optimisation rather than competence.
The mitigation is procedural, not technical: AI produces a ranked list with the reasons attached, and a consultant is required to disagree with it in writing when they promote or drop a candidate.
The measurable effect
In RHvision searches, AI-assisted sourcing has mostly compressed the discovery phase rather than the interview phase. Time to first shortlist dropped materially; interview-to-offer ratios stayed where careful human recruiting already had them, which is the intended result.
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Contact RHvisionKeep reading
- AI Profile RecruitmentRHvision recruits machine learning, data and AI engineers across Latin America, screened for technical depth, English level and cultural fit.
- Search and SelectionEnd-to-end recruitment for permanent roles across business functions, combining AI candidate discovery with decades of human recruiting judgement.