How to get your Workday Adaptive Planning data ready for agentic AI

Workday Adaptive Planning holds some of your most valuable business data — your budgets, forecasts, headcount plans, and the custom reports your FP&A team builds to track performance against plan. Getting it ready for agentic AI means giving AI agents access to a centralized, cleansed, and governed version of that data, so they can answer questions like "how far off is actual spend from our latest forecast, by department, right now?" in seconds rather than days. Fivetran + dbt Labs delivers the complete data foundation agents need — Fivetran moves Workday Adaptive Planning data reliably into your warehouse or data lake, and dbt transforms it into trusted, AI-ready tables.

Why Workday Adaptive Planning data is critical for agentic AI

Every budget cycle, every forecast revision, and every board update depends on the plans, versions, and custom reports living inside Workday Adaptive Planning. But that data typically stays locked inside the planning tool, disconnected from actuals in the general ledger and from the rest of the business. FP&A analysts spend hours exporting reports, reconciling account structures, and rebuilding variance views by hand every time leadership asks a new question.

That manual effort does not scale as the business adds departments, cost centers, and planning versions. By the time a variance report reaches a finance leader, the forecast it is compared against is often already stale, with a new one already in flight. This is exactly the gap that infrastructure built for agents — not just analytics — is designed to close, giving finance a single, current source of plan and actual data an agent can query directly, instead of another manual export cycle.

What agentic AI can do with Workday Adaptive Planning data

Once your plans, versions, and custom reports live in a central warehouse, an AI agent turns planning data into instant answers.

An FP&A analyst can ask an agent to compare actual spend against the latest forecast version by department, and get a ranked variance breakdown instead of rebuilding a comparison in a spreadsheet.

A finance ops lead can ask an agent to pull headcount plans against approved budget by cost center, catching overages before they show up in a monthly review.

A controller can ask an agent to trace how a specific account's forecast has changed across planning versions, replacing a manual audit trail with an instant answer.

A finance leader can ask an agent for a plain-language summary of where the business is trending ahead of or behind plan this quarter, pulling directly from the same custom reports the FP&A team already built in Workday Adaptive Planning, without waiting for the next scheduled deck.

How Fivetran gets your Workday Adaptive Planning data ready for agentic AI

Workday Adaptive Planning stores your account structures, dimensions, and custom reports in a format built for planning workflows, not for AI agents to query directly. That data is fragmented across metadata tables that define your accounts, levels, dimensions, and versions, and separate custom reports that hold the actual figures your team plans against. Pulling all of it together by hand does not scale, and it goes stale the moment a new version is published.

Fivetran moves your Workday Adaptive Planning data reliably into your warehouse or data lake, keeping your metadata and custom reports fresh and complete with every sync. Fivetran handles the nuances of this source automatically, including full re-imports of both the metadata and custom report tables so your account structures and figures always match what is defined in your Workday Adaptive Planning account, even as dimensions and versions change. Together, Fivetran + dbt Labs turn that raw data into a centralized, cleansed, and governed foundation agents can query directly — dbt's full modeling, testing, and documentation capabilities, including prebuilt quickstart models where they exist for a given connector, make plan and actual data genuinely ready for an agent to act on.

What your Workday Adaptive Planning data unlocks for your team

With Workday Adaptive Planning data in a central warehouse, AI agents unlock capabilities your FP&A team couldn't access before.

• Instant variance analysis — agents compare actuals against any forecast version by department or cost center on demand.
• Headcount monitoring — agents track planned versus approved headcount and flag overages before they compound.
• Version-to-version tracing — agents show exactly how a forecast or budget line has changed across planning cycles.
• Cross-team plan visibility — agents surface the same custom reports your FP&A team built, without a manual export.
• Faster leadership updates — agents summarize performance against plan in plain language, on demand, not on a reporting schedule.

FAQ

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

It means your account structures, dimensions, planning versions, and custom reports live in a centralized, cleansed, and governed warehouse or data lake where an AI agent can query the full history and every version on demand. Without that foundation, an agent only sees whatever is open in the planning tool at that moment.

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

FP&A and finance teams can ask agents to compare actuals to any forecast version, monitor headcount against budget, trace how a plan line changed over time, and summarize performance against plan in plain language, all without exporting a single report.

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

No. Planning data needs to be centralized, modeled, and governed before an agent can query it reliably.

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

No. Fivetran automates the movement of your metadata and custom reports into your warehouse or data lake, and dbt's modeling, testing, and documentation capabilities give your team analysis-ready tables without writing pipeline code from scratch.

How does Fivetran get Workday Adaptive Planning data ready for AI agents?

Fivetran moves your account structures, dimensions, versions, and custom reports reliably into your warehouse or data lake, keeping them current with full re-imports on every sync. dbt Labs then transforms and governs that data using its full modeling, testing, and documentation capabilities to give your team a fast path to AI-ready planning data.

[CTA_MODULE]