AI for Recruiting at recruiting agencies.

What "Recruiting run by AI" looks like for a recruiting agency

A recruiting agency's AI workflow is two stacked pipelines: AI sources candidates against a JD using Clay-style enrichment + LinkedIn data; AI sends personalized outreach with reply-handling routing; the recruiter spends time on the warm conversations AI surfaces. Agencies running this stack place 2-3x more candidates per recruiter than competitors still doing manual sourcing — and they typically have lower agency-margin pressure because their cost-per-placement collapsed.

Where AI shines here

• Sourcing and outreach
• Scheduling
• Candidate communication
• Loop summaries

Where to keep humans in the loop

• Final assessment
• Senior leadership hires

Industry-specific pitfalls

• Bias is a real risk in AI screening — audit the prompts and outputs.
• Candidates can spot generic outreach. Personalize the parts that matter.
• Final hiring decisions belong to humans. Period.

Pitfalls specific to recruiting at recruiting agencies

• AI screening introduces bias risks — audit prompts and outputs quarterly with a diverse review panel.
• Candidates can spot generic outreach. Personalization on the parts that matter (role, company specifics) is non-negotiable.
• Don't let AI write rejection emails alone — the wording around rejection drives reputation more than offer letters do.

What to measure

• Sourced-to-applied rate
• Time-to-fill
• Recruiter productivity (reqs per recruiter)