HireGuard — AI Hiring Compliance Auditor

HireGuard is a multi-agent compliance auditor built on Band. A single command feeds a hiring packet — job posting, comp band, and interview scorecard — into a Band room where four specialized agents hand off work through @mentions. @Intake (LangGraph) extracts structured facts from the raw artifact and writes them to facts.md. @PolicyAgent (LangGraph) cross-references every fact against a 10-rule EEOC and pay-transparency ruleset, appends cited findings, then hands off to @RiskScorer. @RiskScorer (CrewAI) calls the AI/ML API for each finding to score legal exposure on a 0–100 scale, weighing severity, litigation likelihood, and jurisdiction attachment, then writes risk.md. @Counsel (CrewAI) adversarially validates Critical findings, bounces thin cases back to @PolicyAgent for a visible re-loop, and writes the final audit.md — a defensible memo with statute citations and a human sign-off gate. The AI/ML API is load-bearing: no finding gets a risk score until that call returns. Agents coordinate through Band @mentions; content lives in shared workspace files, keeping chat lightweight and auditable. The ruleset covers Federal EEOC law (ADEA, Title VII, ADA, disparate-impact doctrine) and state pay-transparency statutes in California (SB 1162), New York (LL 194-b), and Colorado (EPEWA). The demo packet ships with pre-planted violations — age-proxy language, a salary-history question, a missing CA pay range — producing a HIGH verdict with six cited findings on first run. EEOC charges cost U.S. employers $440M+ in 2023 and pay-transparency penalties are accelerating. HireGuard makes compliance audits fast, repeatable, and traceable.