HireFlow

# HireFlow — AI Hiring Intelligence HireFlow is a multi-agent hiring workflow built on Band that transforms the traditionally manual and time-consuming hiring process into an intelligent, collaborative pipeline. Instead of relying on recruiters to manually analyse job descriptions, review resumes, identify candidate gaps, create interview questions, HireFlow distributes these responsibilities across a team of specialized AI agents that work together in a Band workspace. The workflow begins when a hiring manager submits a job description. The Job Analyzer agent converts the raw job posting into a structured hiring rubric with required skills, weighted evaluation criteria, seniority expectations, red flags, and culture-fit signals. This rubric becomes the single source of truth for the entire pipeline, ensuring every downstream decision is aligned with the original hiring requirements. Next, the Resume Screener agent evaluates candidates against the rubric rather than using subjective judgments. Each candidate receives a structured assessment, skill alignment, seniority evaluation, strengths, gaps, and an overall recommendation. The agent then ranks candidates and identifies the strongest prospects. The Interview Planner agent uses these screening results to generate tailored interview question packs. Rather than producing generic interview templates, it creates targeted questions designed to validate candidate strengths and investigate identified gaps, helping interviewers makeinformed decisions. Finally, the Decision Summarizer agent compiles all outputs into a comprehensive hiring report. This report includes candidate comparisons, hiring recommendations, interview guidance, reasoning behind decisions, and a transparent audit trail showing how each recommendation was generated. Built for the Band of Agents Hackathon, HireFlow showcases a practical enterprise use case where AI agents function as a collaborative hiring team rather than isolated assistants