How to get your Workday RaaS data ready for agentic AI

Workday holds your most sensitive workforce data, and the custom reports your People Analytics team built in Workday Report-as-a-Service (RaaS) hold the answers your leaders ask for every week. Getting that data ready for agentic AI means giving AI agents a centralized, cleansed, and governed copy of your Workday reports, so they answer questions like "which departments have rising attrition and slipping engagement scores?" in seconds rather than days. Getting your Workday RaaS data AI agent-ready means moving your custom reports into 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 reports reliably, and dbt transforms them into trusted, AI-ready tables.

Why Workday RaaS data is critical for agentic AI

Your HR team already designed the reports that matter: headcount, compensation, turnover, and more. But those reports live inside Workday, where each one answers a single question in isolation. Combining workforce data with finance, sales, or engagement data means exports, spreadsheets, and a long wait.

Meanwhile, leaders make hiring and budget decisions on reports that are days or weeks old. Analysts spend hours stitching exports together instead of advising the business. Nobody reads every report end to end, so patterns hide in plain sight.

AI agents need infrastructure built for agents, not just analytics. They need current, connected, governed data in one place, not 15 separate report screens.

What agentic AI does with Workday RaaS data

Once your reports sit in a central warehouse or data lake, agents turn static reports into answers on demand.

Spot attrition risk early. A People Analytics lead asks which teams lose people fastest, and an agent compares turnover across departments, tenure bands, and managers. The lead acts this month instead of next quarter.

Connect workforce cost to business results. A CFO asks how headcount growth tracks against revenue, and an agent joins your workforce reports with financial data. No analyst builds a one-off model.

Answer HR questions without a ticket. An HR business partner asks for a headcount breakdown by location and job family, and the agent responds immediately. The analytics team stops fielding repeat requests.

Monitor workforce plans continuously. A workforce planning manager asks an agent to flag any department drifting from its hiring plan, and the agent watches every refresh.

How Fivetran gets your Workday RaaS data ready for agentic AI

Raw Workday reports are hard to use for agent workloads. They sit behind a single system, each report stands alone, and large reports are difficult to move without a plan.

Fivetran moves the reports you choose into your warehouse or data lake on a regular schedule. You build the report in Workday, and Fivetran syncs the whole thing. By default, Fivetran refreshes each report in full on every sync. For large or fast-changing reports, turn on dynamic parameters and choose the incremental strategy, which pulls only what changed since the last sync, starting from a date you set. Your data stays fresh without re-pulling years of history every time.

dbt Labs completes the stack. dbt transforms and governs the raw reports into clean, trusted, AI-ready tables, with modeling, testing, and documentation that give agents consistent definitions for terms like "active employee" and "voluntary termination." Fivetran moves the data, and dbt Labs makes it usable. If you want a lake, the Fivetran Managed Data Lake keeps everything in an open format.

What your Workday RaaS data unlocks for your team

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

• Attrition and retention insight — HR leaders see where people leave and why, before the exit interview.
• Workforce cost visibility — Finance connects headcount and compensation data to budgets and forecasts.
• Headcount and org analytics — Business leaders get answers on structure, span of control, and growth by team.
• Self-serve HR answers — Managers ask questions in plain language and skip the analyst queue.
• Cross-functional analysis — People data joins sales, finance, and engineering data in one place.

FAQ

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

It means you centralize, cleanse, and govern your Workday reports in a warehouse or data lake. AI agents then query complete, current, consistently defined workforce data and join it with your other business data.

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

Your team asks workforce questions in plain language and gets answers in seconds. Examples include attrition by department, headcount against plan, and compensation trends alongside financial results.

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

No. Centralize, model, and govern your reports before an agent queries them reliably.

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

No. Your HR analytics team builds the reports in Workday, and Fivetran handles the movement. Your data team uses dbt for modeling, so start with a small set of reports and expand from there.

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

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

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