Agentic resume screening for faster recruiting shortlists.
A recruiting workflow that reads resumes, extracts candidate evidence, scores fit, and recommends next actions while keeping reviewers in control.
The resume screener became a practical recruiting agent: faster intake, clear evidence, and human review at the end.
— Product team
Screening steps coordinated by role
PDF and scan-friendly ingestion
Structured review output
Recommendations stay inspectable
Resume review is repetitive, but hiring decisions cannot be a black box.
The screener needed to automate intake, extraction, scoring, and recommendations while preserving evidence for human recruiters.
The risk was building a faster process that felt less trustworthy or harder to audit.
Resumes arrive as PDFs, scans, tables, and inconsistent layouts.
Scores and recommendations must be backed by evidence.
The workflow has to adapt to different requirements and rubrics.
The product should assist recruiters, not remove their judgment.
We modeled screening as an agent workflow with explicit review steps.
OCR handles messy documents, extraction captures candidate facts, scoring compares the role requirements, and recommendations stay attached to evidence.
The product story makes the workflow useful without pretending it should make final hiring decisions.
- LangChain and LangGraph workflow for repeatable candidate review.
- OCR ingestion for PDFs, scans, and resume variants.
- Structured scoring tied to extracted evidence.
- Human-reviewable recommendations for recruiting teams.
Agent workflow
Screening became a graph of explicit review steps.
OCR-first intake
Messy resumes were normalized before scoring.
Evidence-backed scores
Recommendations stayed attached to candidate facts.
Recruiter handoff
Shortlists and notes were shaped for human review.
Decision log
Review history made the process easier to audit.
Recruiting audit
Mapped resume sources, job criteria, and review decisions.
OCR pipeline
Normalized PDF and scan ingestion.
Agent graph
Designed extraction, scoring, risk, and recommendation steps.
Reviewer output
Built the shortlist and evidence handoff story.
QA loop
Checked recommendation quality against recruiter expectations.
- PDFs
- Scans
- Job criteria
- Recruiter notes
- Text
- Experience
- Skills
- Education
- Fit scoring
- Evidence
- Risks
- Recommendations
- Shortlist
- Notes
- Questions
- Decision log
The resume screener is useful because every recommendation can be inspected. OCR and agents speed the workflow, while recruiters keep the final decision.
Faster screening loop: resumes become structured candidate reviews with evidence and recommendations.
Better recruiter control: the workflow supports shortlisting without hiding how scores were produced.
The resume screener became a practical recruiting agent: faster intake, clear evidence, and human review at the end.
- Resume PDFs
- Scans
- Job descriptions
- Recruiter notes
- OCR
- Parsing
- Entity extraction
- Rubric matching
- Fit score
- Evidence summary
- Risk flags
- Recommendations
- Shortlist
- Review notes
- Interview prompts
- Decision log
- Human approval
- Bias review
- Audit trail
- Data retention
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