AI Recruitment & ATS Kanban
Explainable candidate screening, deterministic scoring, and structured interview scorecards.
Architectural Overview
Move beyond opaque AI black boxes. PulseHR employs a 4-node LangGraph StateGraph pipeline that evaluates candidates against structured criteria, extracts verbatim evidence citations, applies responsible-AI guardrails, and supports audited recruiter score overrides.
Technical Highlights & Engine Guarantees
Core Capabilities
Engineered with production-grade reliability, compliance, and developer ergonomics.
Deterministic Criteria Scoring
Define custom weighted criteria per job opening (e.g. Python 25%, FastAPI 20%, AWS 15%). The engine computes deterministic sub-scores instead of subjective hallucinations.
Kanban Pipeline Management
Drag-and-drop candidates across stages: Applied, Screening, Shortlisted, Technical Interview, Executive Round, Offer, and Hired.
Structured Interview Scorecards
Collect multi-evaluator feedback across standard competencies with 1-5 scoring, notes, and recommendation badges (Strong Yes, Yes, Neutral, No).
Candidate Master & Talent Pool
Maintain a central talent repository with custom skills tagging, starred profiles, and searchable past candidate histories.
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