This workflow automates candidate screening and job matching for recruiters, HR operations teams, and talent acquisition leads. It eliminates the manual effort of parsing resumes, evaluating multi-dimensional candidate fit, and routing outcomes based on assessment confidence. Resume and job data are received via a POST webhook and passed directly to the Matching Agent Orchestrator, backed by a matching model and shared memory. The orchestrator coordinates four specialist agents in parallel: a Resume Parser Agent (structured extraction), a Skill Analysis Agent (competency mapping), an Experience Assessment Agent (seniority and relevance scoring), and a Cultural Fit Agent (organisational alignment evaluation). A Validation Logic Tool cross-checks outputs before a Ranking Output Parser produces a structured candidate ranking. Results are then checked against a confidence threshold — low-confidence cases trigger a review alert via email and are stored in Google Sheets for human follow-up, while high-confidence matches are prepared as analysis data, stored in Sheets, and distributed as a ranked report via email.