Hana Ramah@HanaRamah

HireWorkflow AI is a revolutionary Watson Orchestrate-powered multi-agent system that automates HR operations through intelligent candidate evaluation. By deploying collaborative AI agents, it screens applicants holistically, analyzing CVs and GitHub repositories for real code quality bypassing ATS pitfalls to ensure fair, bias-reduced assessments. ATS are failing companies by relying on rigid keyword filters that reject up to 75% of qualified candidates due to formatting issues. This results in prolonged hiring timelines averaging 44 days per role, with recruiters wasting over 23 hours screening resumes manually, leading to bad hires costing businesses $17,000 to $240,000 each. These systems overlook holistic candidate potential, missing top talent while exacerbating recruiter burnout and compliance risks. HireWorkflow AI transforms recruitment through holistic screening using collaborative AI agents that analyze CVs and GitHub repositories to assess real code quality. Format-blind evaluation bypasses traditional ATS limitations, ensuring bias-reduced assessments with end-to-end automation from screening to interview scheduling. Our solution serves HR teams and recruiters in tech-driven companies, startups, and enterprises hiring for technical roles where skills validation is critical. It's ideal for organizations in software, engineering, and IT sectors facing high-volume applications. HireWorkflow AI offers real-time code reviews assessing project impact and tech stack proficiency, cross-platform validation to detect exaggerated claims, and smart scoring with explainable AI for audit-ready decisions. The platform delivers an 80% reduction in screening time (from 23 hours to under 2 per role), uncovers 30-50% more qualified candidates, achieves $3,000-$5,000 cost savings per hire, and improves hire quality by 46% to cut turnover. HireWorkflow AI transforms recruitment into a humane, efficient process, empowering companies to secure star talent faster.

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