The Generative AI for Job Requisitions capability addresses a critical global productivity challenge: the administrative burden of writing job descriptions. This project addresses this challenge by providing:

• Measurable Time Savings: Workday users create approximately 30 million job descriptions per year. Historically, this process took an average of one to two hours every time. The AI-powered tool reduces this creation time from hours to just minutes.

• Quantifiable Global Outcome: This efficiency gain translates to a potential annual saving of tens of millions of hours across Workday’s international customer base. This massive time reallocation frees up recruiters and hiring managers to focus their efforts on strategic tasks, such as sourcing and engaging quality candidates, rather than arduous administrative work.

• Scale of Impact: The innovation is deployed across Workday's global platform, which is used by over 10,000 organizations and more than 60% of the Fortune 500, ensuring its impact is felt internationally and across diverse markets and industries.

The project also moves the market beyond mere automation by ensuring the quality and precision of the hiring input. This is achieved by:

• Data-Driven Precision: The tool leverages information already stored in Workday as the single source of truth for people data—such as the skills needed for the role and job location details. This rich dataset, fueled by over 625 billion transactions processed by the system every year, allows the AI models to generate precisely targeted job descriptions.

• Faster, More Accurate Hiring: By creating more consistent and targeted descriptions, the tool contributes to faster hiring cycles and improves the fit between candidates and roles, thereby supporting talent retention and growth.

• Setting the Standard for Enterprise AI: This project demonstrates Workday’s platform approach to Generative AI, integrating it natively into enterprise applications while maintaining a commitment to delivering trustworthy, transparent, and safe solutions that keep the user in the driver’s seat. This sets a new benchmark for how large-scale enterprise cloud applications adopt Generative AI responsibly.