How to get your Workday HCM data ready for agentic AI

Workday HCM holds the full story of your workforce: who you hire, how you pay them, how they perform, and when they take time away. Getting that data ready for agentic AI means giving AI agents a centralized, cleansed, and governed version of it, so they answer questions like "where is compensation drifting out of range, and who is at risk of leaving?" in seconds rather than days. Getting your Workday HCM data AI agent-ready means centralizing it in a warehouse or data lake where AI agents query your full workforce history, join it with other data sources, and surface answers on demand. Fivetran + dbt Labs delivers the data foundation for agentic AI — Fivetran moves your Workday HCM data reliably, and dbt transforms it into trusted, AI-ready tables.

Why Workday HCM data is critical for agentic AI

Workday HCM spans core HR, payroll, compensation, absence, time tracking, and performance. Each area answers its own questions well. The hard questions cross all of them: how does pay relate to performance, and how does absence relate to attrition?

Today, answering those takes manual exports and weeks of analyst time. By the time a CHRO sees the result, the situation has moved. Workday also holds years of worker history, far more than any person reads, so trends in promotions, pay changes, and moves between teams stay buried.

Agents need infrastructure built for agents, not just analytics: connected, current, governed workforce data in one place.

What agentic AI does with Workday HCM data

Find pay equity gaps. A compensation leader asks an agent to compare pay across roles, levels, and locations. The agent surfaces outliers for review instead of waiting for the annual audit.

Predict where attrition hits. An HR business partner asks which teams show early warning signs. The agent weighs tenure, recent role changes, pay position, and absence patterns together.

Answer headcount questions instantly. A finance partner asks for headcount by cost center against plan. The agent responds in seconds, without a spreadsheet request.

Track workforce history. A people analytics lead asks how a department's makeup changed over 3 years. The agent reads the full record of hires, moves, and exits.

How Fivetran gets your Workday HCM data ready for agentic AI

Raw Workday HCM data is difficult to use for agent workloads. It spreads across 6 modules, changes constantly, and carries strict access requirements.

Fivetran syncs data from Absence Management, Compensation, Core HCM, Payroll, Performance Management, and Time Tracking into your warehouse or data lake. The first sync brings in everything your account has access to. After that, Fivetran pulls only what changed for core worker and payroll data, and refreshes the rest on a regular schedule. Fivetran also keeps worker history when you turn it on, so agents see how roles and pay evolved over time, not only today's snapshot. You block sensitive columns before they leave Workday, which keeps the data governed.

dbt Labs completes the stack. dbt transforms raw Workday data into clean, trusted, AI-ready tables, with modeling, testing, and documentation that give agents consistent definitions. Fivetran moves the data, and dbt Labs makes it usable. Teams that want an open, lake-based setup use the Fivetran Managed Data Lake.

What your Workday HCM data unlocks for your team

With Workday HCM data in a central warehouse, AI agents unlock capabilities your team cannot reach from inside Workday.

• Attrition forecasting — HR leaders see risk before resignations arrive.
• Pay and performance alignment — Compensation teams link rewards to results across the whole company.
• Absence and time insights — Operations leaders spot staffing gaps and burnout signals early.
• Workforce planning — Finance and HR work from the same current numbers.
• Career mobility analysis — Talent teams see who moves, who stalls, and why.

FAQ

What does it mean for Workday HCM data to be AI agent-ready?

It means your Workday data from HR, payroll, compensation, and performance sits in one governed warehouse or data lake. AI agents query it as a complete, current picture and combine it with your other business data.

What can my team actually do with AI agents and Workday HCM data?

Your team asks cross-functional workforce questions in plain language and gets answers in seconds. Examples include pay equity checks, attrition risk by team, and headcount against plan.

Is Workday HCM data ready for AI agents out of the box?

No. Centralize, model, and govern it before an agent queries it reliably.

Do we need a data engineering team to set this up?

No. Fivetran handles the data movement, and your analytics team shapes the output with dbt. Start with core HR data and add modules over time.

How does Fivetran get Workday HCM data ready for AI agents?

Fivetran moves your Workday HCM data reliably into your warehouse or data lake and keeps it current. dbt Labs transforms and governs it into clean, AI-ready tables using its full modeling and testing capabilities. One company delivers the complete movement-to-transformation stack.

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