A global leader in AI-powered quality engineering sought to optimize workforce data management and onboarding across its rapidly expanding operations. With over 7,000 engineers and more than 400 B2B and B2C customers worldwide, the company delivers advanced solutions in automation, AI, blockchain, and XR across industries such as technology, finance, healthcare, and defense. Operating in regions including the US, UK, Germany, and Asia, the organization faced challenges in its recruitment and onboarding workflows. Fragmented workforce data and limited visualization made it difficult to track hiring progress, onboarding status, and resource allocation effectively, reducing visibility, slowing decision-making, and impacting operational efficiency at scale.

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