AI-Powered Candidate Screening – Medical Device Manufacturer
The Challenge:
A medical device company receiving 2,500+ applications quarterly for 45 open positions had recruiters spending 8-12 minutes per resume screen, resulting in 280+ hours quarterly on initial screening. Quality candidates were sometimes overlooked in high-volume roles, time-to-fill averaged 68 days affecting business operations, and unconscious bias in screening created diversity challenges.
The Solution:
Deployed Azure AI resume screening analyzing qualifications, experience, skills, and job requirements stored in Fabric. Power Apps candidate portal enabled application submission with automated acknowledgments via Power Automate. AI models scored candidates objectively with explainable recommendations reducing bias. Copilot provided recruiters with candidate summaries and interview question suggestions. Power BI dashboards tracked source effectiveness, time-to-fill by position, diversity metrics, and candidate pipeline health.
Result:
Resume screening time reduced from 10 minutes to 90 seconds per application (85% reduction), recruiter capacity increased 4x enabling same team to handle 60% more requisitions, and time-to-fill decreased from 68 days to 42 days. Quality-of-hire metrics improved with 28% better 1-year retention for AI-screened candidates, and diversity hiring increased 23% through bias-reduced screening process.