When HR questions a hiring plan or finance has to explain why margin slipped, the analysis usually starts with exports. Workforce data comes out of one system and ledger data out of another, and analysts reconcile them in spreadsheets that are stale by the time anyone acts.
At Workday Rising 2026 in Las Vegas this month, the company said it is moving that analysis into its platform by making Decision Intelligence available to Workday Human Capital Management (HCM) and Workday Financial Management customers.
From Adaptive to HCM and Financials
The capability first appeared in May as Adaptive Decision Intelligence, an early adopter feature in Workday’s planning product. It enabled finance and operations teams to ask questions in plain language, run Monte Carlo simulations on scenarios and commit an approved scenario to the plan with its assumptions, data sources and approval chain attached. Adaptive customers keep that version. The new release extends the approach to team design, skills gaps, and hiring strategy in HR, and to close variances, reconciliation, and flux analysis in accounting.
Hiring Plans and Margin Variances
In HR, Decision Intelligence supports questions about workforce supply and demand, organization design, attrition risk, recruiting plans and skills gaps. Teams can compare external hiring with internal development, contingent labor, retention investments or changes to hiring schedules, with cost, timing and risk assessed for each option.
Workday illustrates the capability with a hypothetical plan to hire 50 employees. Rather than accepting that target, HR can examine whether existing workers have the necessary skills, where capacity is underused and whether all 50 positions are still required. The system can then compare the financial and operational implications of alternative staffing strategies.
Once a strategy is approved, teams can move forward through Workday’s established approval processes, retaining human oversight of workforce decisions.
Finance teams get a similar process for investigating revenue changes, margin pressure, cost trends, forecast variances and balance sheet movements. For example, if revenue is increasing while margins decline, finance can investigate the underlying drivers and compare responses such as reallocating budgets, changing investment timing or revising forecast assumptions.
Workday’s product documentation describes additional accounting capabilities, including analyzing financial movements by company, cost center, product or customer and tracing balances through journal entries and source transactions. This gives finance teams a way to examine the calculations and transactions behind a variance before considering corrective action.
Workday says the system also retains the assumptions, approvals and actions associated with decisions, allowing teams to review which responses delivered the intended results. That historical record is intended to inform later decisions.
Early Evidence and Metered Costs
Unity Technologies, one of the early adopters, says the tool is helping its finance transformation and procurement team investigate revenue variances and streamline the monthly post-close outlook deck built for the CFO. Unity credits the tool’s use of Workday’s security model and its grasp of Unity’s ledger, cost center and company hierarchies. Workday said that the early adopter program began with more than 50 customers, who saw savings of roughly 30 to 40 percent on tasks such as variance analysis. Workday’s own research in January found that, across workplace AI use, roughly 37 percent of the time employees save goes to correcting and verifying output.
The company also said that a large share of the data behind a typical decision sits outside Workday, often in CRM. A semantic layer infers missing labels in that external data and asks a person to confirm the mapping, and a Rising keynote demo combined Workday HR and finance data with demand data from Salesforce. Use is metered. Decision Intelligence consumes Flex Credits, Workday’s consumption currency for AI, and the company is building limits into its Agent System of Record so customers cannot run through their credits. Customers can also set approval thresholds by amount and type.
What This Means for ERP Insiders
Test cross-system analysis against a known financial variance. A margin problem may originate in bills of material, production scrap, freight charges or inventory movements outside Workday. Before expanding Decision Intelligence, finance teams should test a previously resolved variance, compare its explanation with the documented root cause and check whether every material figure can be traced to its source. They should also establish how external data is refreshed so that new analyses do not rely on outdated operational inputs.
Validate contingent labor costs before comparing workforce strategies. The hire-versus-contract decision becomes less reliable when staffing agency rates, temporary worker hours or contractor commitments sit outside Workday. ERP and HR teams should establish where contingent labor records are maintained and whether those records capture the full cost of each staffing option. Otherwise, an apparently cheaper workforce strategy may exclude significant external labor costs.
Treat AI-powered close analysis as a consumption budget. Repeated variance investigations, scenario comparisons and follow-up questions can draw down Flex Credits during an already intensive close period. Finance teams should measure credit consumption across representative workflows, compare the expense with analyst time saved and define budgets before extending access. Workday provides consumption alerts, but customers should separately confirm whether enforceable spending limits are available under their configuration.
