Bailee Ta

Bailee joined Invisors in 2018 and works as a Functional Design Architect, leading solution architecture and HCM across projects for clients in industries such as construction and entertainment. She focuses on shaping the full design of a Workday solution, ensuring HCM and cross-functional pieces work together to meet each organization's unique needs.

Workday AI is More than Agents

When most people think about AI in Workday, they usually picture conversational tools or assistants that help employees complete tasks, answer questions or automate workflows. While those capabilities are important, they represent only one part of Workday’s broader AI strategy. Workday AI is embedded across the platform, powering everything from intelligent recommendations and skills matching to anomaly detection in payroll and financial transactions. These behind-the-scenes Workday AI features are constantly analyzing data, surfacing insights and helping organizations make faster, more informed decisions within the foundational guardrails that Workday was built upon. Getting value from AI is not as simple as turning it on; the effectiveness depends on the strength of your data, the consistency of your business processes, the understanding of your users, and the maturity of your Workday configuration. Without the right foundation, even the most advanced AI capabilities can produce incomplete or unreliable results. Below, we explore some of the most impactful Workday AI features happening behind the scenes, and what your organization can do now to activate, optimize and prepare for what’s next.

Understanding Paradox: Transforming Recruiting with AI in Workday

Recruiting teams are being asked to move faster while still delivering a strong candidate...