Agentic AI Recruiting Copilot
Multi-agent system that screens resumes, ranks candidates against JDs, and drafts personalized outreach — with human-in-the-loop review.
The Challenge
Recruiters were spending most of their day reading resumes and writing outreach instead of talking to candidates. Quality varied per recruiter.
Our Solution
Multi-agent LangGraph system: a screener agent ranks candidates against the JD using Pinecone embeddings, an outreach agent drafts personalized emails, and a Slack-based human-in-the-loop step approves before sending.
Key Features
- Multi-agent LangGraph orchestration
- Resume embedding + JD ranking
- Personalized outreach drafting
- Slack human-in-the-loop approvals
- Bias & PII guardrails
- Recruiter feedback loop
Our Process
- 1
Workflow capture
Shadowed recruiters to model scoring and outreach steps.
- 2
Agent design
Built screener, writer, and reviewer agents in LangGraph.
- 3
Guardrails
Added PII redaction, bias checks, and audit logs.
- 4
Pilot
Ran in shadow mode for 2 weeks, then enabled writes.
Results
- Shortlist time down 70%
- Recruiter throughput tripled
- Standardized candidate scoring across the team
"Our recruiters spend their day talking to candidates again, not reading PDFs."
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