Case Study: American multinational technology company achieves 4x more diversity and 60% faster hiring with SHL’s Automata (Aspiring Minds)

Transforming technology hiring with AI powered coding assessments– quadrupling reach and optimizing process

American Multinational Technology Company, a Seattle‑based leader in e-commerce, cloud and AI with over 100,000 employees, needed a faster, fairer and more scalable way to identify top programming talent beyond traditional signals like school or résumé. To standardize and automate large‑scale coding evaluations, the company engaged SHL and adopted Automata, an AI‑powered coding assessment platform that supports 30+ languages and is designed to surface technical aptitude objectively across a diverse applicant pool.

SHL implemented Automata’s AI/ML deep‑code evaluation and IRT‑based adaptive analytics to generate multiple quality scores, predictive job‑success probabilities, and data‑driven candidate classifications to streamline human review. The result: SHL processed 50,000 applicants in a year, enabled hiring of over 1,000 software engineers, cut hiring time by 60%, increased candidate diversity fourfold, achieved 100% interviewer satisfaction, and saved hundreds of thousands of dollars through reduced interviewing effort with a fully cloud‑deployed, scalable solution.