Workday Built an AI That Moves Finance Planning From Days to Minutes

Workday introduced Adaptive Decision Intelligence on May 27, 2026, targeting the gap between the governed planning environment where budgets and forecasts live and the ad hoc spreadsheet work where the analysis that actually shapes decisions gets done.

Most organizations run two parallel planning processes. The governed system, which is structured, controlled, and auditable, according to Workday, holds the official plan.

The ad hoc system, spreadsheets, one-off models, and data exports, is where finance analysts actually answer the urgent questions that leadership asks on Tuesday and needs answered before Friday.

That split means the work that drives major decisions happens outside the systems that are supposed to run the business, in files that are hard to govern, hard to share, and nearly impossible to convert into an actual plan update.

Adaptive Decision Intelligence brings both sides of that process into a single governed environment. Teams can ask questions in natural language, pull in operational data from CRM, HR, and data warehouse systems, model scenarios, and commit the approved outcome directly back into the plan, without rebuilding models in spreadsheets every time a new question arrives.

"Many AI planning tools today still leave analysts stitching together scenarios in spreadsheets every time a new business question comes up," said Ben Pierce, General Manager of Workday Adaptive Planning. "Adaptive Decision Intelligence is designed to close that gap, turning hours of manual data work into minutes of guided exploration so planning teams can move from a question to a governed decision in the plan before the meeting ends."

The product operates across four interconnected capabilities. Teams can combine plans, actuals, and operational data, pulling together Adaptive Planning data alongside sales pipeline, customer revenue, headcount, or project costs to get a complete view behind a performance question.

When a region misses its target, a finance leader can bring together plan actuals with sales pipeline and headcount data for that region and see whether the issue is coverage, conversion, or productivity, in a single view rather than across multiple systems.

Natural language questioning allows teams to ask direct questions and receive explanations that connect drivers to outcomes.

A question like "Why did Q3 revenue in EMEA fall short of plan?" can return a breakdown showing how territory coverage, win rates, deal size, and ramping sellers contributed to the gap, with a click-through view by product line.

The scenario layer generates recommendations for how to close a performance gap, compares options side by side, and runs Monte Carlo simulations to show a range of likely outcomes for each scenario.

When leadership approves a scenario, Adaptive Decision Intelligence commits it back to the governed plan with assumptions, data sources, and approval chain intact, so future forecasts and reports reflect the actual decision that was made.

The Governance Architecture

Every scenario in Adaptive Decision Intelligence carries a full audit trail, which data sources were used, which assumptions were applied, and who approved the final version committed back into the plan.

The tool follows the same security and access rules already in place in Adaptive Planning, meaning permissions and data definitions are enforced consistently across both exploratory work and the governed plan.

That consistency is the product's central governance argument. Ad hoc analysis in spreadsheets produces answers that are difficult to trace, reproduce, or defend in a board conversation.

Adaptive Decision Intelligence produces the same answers with a documented chain of assumptions and approvals, turning exploratory analysis into governed decisions without requiring finance teams to change how they ask questions.