Guides & How-To
What is EPM Software? Enterprise Performance Management Explained
Enterprise Performance Management (EPM) software unifies financial close, consolidation, planning, budgeting, and reporting. Learn how EPM platforms work and which vendors lead the market in 2026.
Enterprise Performance Management (EPM) software is a category of financial technology that unifies budgeting, forecasting, financial close, consolidation, and management reporting into a coordinated platform. It connects the planning process (what we expect to happen) with the close process (what actually happened) and the reporting process (what we communicate to stakeholders). In 2026, EPM software has become the strategic technology layer for CFOs who need a single source of truth across the entire financial management lifecycle.
EPM is distinct from ERP. An ERP system records transactions: invoices, payments, journal entries, purchase orders. EPM operates above the transactional layer, aggregating ERP data across entities and time periods to support financial planning, performance analysis, and regulatory reporting. Most organizations need both: ERP for transaction processing and EPM for the analytical and close processes that transform transactional data into financial intelligence.
The EPM market has consolidated around a handful of large vendors, but the category is being reshaped by AI-native platforms that automate the mechanical close and consolidation work that traditional EPM platforms organize for humans to perform. Arvexi's platform takes this AI-native approach to the close and consolidation layers of EPM.
What EPM software does
EPM platforms typically cover five functional areas, though not every platform covers all five with equal depth.
Financial planning and budgeting. EPM software provides the models, templates, and workflows for annual budgets, rolling forecasts, scenario analysis, and long-range planning. Planning in EPM is driver-based (revenue models link to headcount models link to expense models), and the platform maintains the relationships between assumptions and outputs. This replaces the spreadsheet-based planning processes that break when assumptions change and cannot scale across departments.
Financial consolidation. For organizations with multiple legal entities, EPM handles the aggregation of entity-level results into consolidated financial statements. This includes chart of accounts mapping (when entities use different account structures), currency translation (converting foreign entity results to the reporting currency), intercompany elimination (removing transactions between related entities), and minority interest calculations (allocating results when ownership is less than 100 percent). Consolidation is one of the most technically complex accounting processes, and errors in consolidation directly affect reported financial results.
Financial close management. EPM platforms orchestrate the close process: assigning tasks, tracking progress, enforcing dependencies, managing deadlines, and providing visibility into close status across entities. Some EPM platforms include account reconciliation natively; others rely on integration with dedicated reconciliation tools. The close management function coordinates the work that produces the numbers that flow into consolidation and reporting.
Management reporting. EPM generates the financial reports, dashboards, variance analyses, and board packages that stakeholders consume. Reporting in EPM is multidimensional. You can analyze results by entity, department, product line, geography, or any other dimension in your data model. The reporting layer connects directly to the planning and close data, so actuals versus budget variance reports generate automatically once the close completes.
Disclosure management. Some EPM platforms support the creation of regulatory filings, 10-K, 10-Q, annual reports,, by linking narrative text to financial data. When a number changes in the consolidation, the corresponding disclosure updates automatically. This is a specialized capability that not all organizations need but that is critical for public companies and regulated industries.
How EPM software works
The EPM lifecycle follows the rhythm of the financial calendar.
Planning cycle (Q4 to Q1). Finance teams build or update the annual operating plan. The EPM platform provides the planning models, distributes input templates to budget owners across the organization, collects their inputs, validates the results against targets, and consolidates the plan into a unified budget. Driver-based models allow what-if analysis: what happens to the P&L if revenue grows 10 percent instead of 15 percent, or if headcount increases by 20 instead of 30.
Monthly/quarterly close. At each period end, the EPM platform ingests actual results from the ERP, runs the close workflow (task management, reconciliation, journal entries), performs consolidation (aggregation, elimination, currency translation), and produces the financial statements and management reports. The close is the most operationally intense phase. It runs on a fixed calendar and every delay cascades.
Continuous forecasting. Between close cycles, FP&A teams update rolling forecasts based on actual results, changed assumptions, and business developments. The EPM platform makes this efficient by allowing forecasters to start from actuals and adjust only the changed assumptions rather than rebuilding from scratch.
Analysis and reporting. Throughout the cycle, the EPM platform provides the analytical layer, variance analysis (actual vs. budget vs. forecast vs. prior year), trend analysis, KPI dashboards, and ad hoc reporting. The strength of EPM is that all of this analysis operates on a single, governed data model rather than separate spreadsheets that may not reconcile.
The EPM lifecycle
Planning cycle
Build annual operating plan with driver-based models and what-if analysis
Monthly/quarterly close
Ingest actuals from ERP, run close workflow, perform consolidation
Continuous forecasting
Update rolling forecasts from actuals and changed assumptions
Analysis & reporting
Variance analysis, KPI dashboards, and ad hoc reporting on a single data model
Key features to evaluate
Unified data model. The defining characteristic of EPM is that planning, close, consolidation, and reporting operate on the same data. Evaluate whether the vendor truly has a unified model or whether it is separate products with data integration between them. A unified model means a budget assumption flows through to a forecast variance report without manual reconciliation. Separate products with integration mean potential data gaps and reconciliation overhead.
Consolidation depth. Not all EPM platforms consolidate with equal sophistication. Evaluate currency translation methods (current rate, temporal, monetary/non-monetary), intercompany elimination types (revenue/expense, asset/liability, investment/equity), ownership hierarchy management (direct and indirect ownership, mid-year changes), and the handling of minority interests, joint ventures, and equity method investments. If your consolidation is complex, the platform's consolidation engine is the most critical capability.
Planning flexibility. EPM planning should support driver-based models, scenario analysis, rolling forecasts, and departmental input collection. Evaluate whether the planning models are flexible enough to represent your business. Not every business fits the vendor's default planning templates. The best platforms allow finance teams to build custom models without IT involvement.
Close management. Evaluate the close management capabilities against the criteria outlined in our financial close software guide: task management, reconciliation, journal entries, dashboards, and audit trail. Some EPM platforms have strong close management; others treat it as secondary to planning and consolidation.
AI capabilities. The newest dimension of EPM evaluation. AI in EPM can automate reconciliation, investigate variances, predict close bottlenecks, generate forecast adjustments from actual trends, and produce narrative commentary for reports. Distinguish between genuine AI (systems that reason about data and produce findings) and branded analytics (dashboards with a machine learning label). The depth of AI integration varies dramatically between vendors.
ERP integration. EPM sits above the ERP, and the quality of that connection determines the platform's practical value. Evaluate pre-built connectors for your ERP, the frequency and reliability of data loads, bidirectional integration (can the EPM platform post journal entries back to the ERP?), and the handling of multi-ERP environments (common in organizations that have grown through acquisition).
Scalability. EPM platforms must handle increasing data volumes, entity counts, and user concurrency without degradation. Ask about the vendor's largest deployments, test performance during your evaluation with realistic data volumes, and verify that the platform scales linearly rather than requiring rearchitecture as you grow.
Top EPM software platforms in 2026
1. Oracle EPM Cloud. Oracle is the market leader in enterprise EPM. The platform includes Financial Consolidation and Close (FCCS), Planning (EPBCS), Account Reconciliation (ARCS), Narrative Reporting, and Enterprise Data Management. Oracle EPM is the most comprehensive suite available. It covers every EPM function with enterprise-grade depth. The trade-off is complexity: implementation typically takes 6 to 18 months, requires specialized Oracle consulting partners, and assumes a level of organizational maturity that not every company has. Oracle EPM is strongest for large enterprises, especially those already running Oracle ERP. Compare Oracle EPM with Arvexi.
2. OneStream. OneStream positions itself as the unified finance platform: a single application for close, consolidation, planning, reporting, and analytics. Its key differentiator is the unified data model: unlike platforms that are suites of acquired products, OneStream was built as a single codebase. Financial close results flow directly into planning without ETL. The platform is extensible through its XF Marketplace (pre-built solutions for tax provisioning, people planning, capital planning, and other use cases). OneStream is well-suited for large enterprises with complex consolidation and multi-dimensional reporting needs. Implementation runs 3 to 9 months. Compare OneStream with Arvexi.
3. Workday Adaptive Planning. Workday Adaptive is the market leader in cloud-based planning and budgeting. Its strength is collaborative planning (intuitive interfaces that FP&A teams and budget owners can use without training, flexible models that adapt to changing business structures, and strong integration with Workday HCM for people planning. The close and consolidation capabilities are less mature than dedicated close platforms), Workday Adaptive is better for organizations whose primary EPM need is planning and forecasting rather than close and consolidation. Compare Workday Adaptive with Arvexi.
4. Anaplan. Anaplan is a planning platform known for its connected planning methodology. The idea that financial planning, sales planning, supply chain planning, and workforce planning should operate on a shared model. Anaplan excels at large-scale, multidimensional planning scenarios. It does not offer financial close or consolidation natively, which means organizations need Anaplan plus a separate close/consolidation tool. This makes Anaplan complementary to close platforms rather than a replacement for them.
5. SAP Business Planning and Consolidation (BPC) and SAP Analytics Cloud. SAP offers EPM through two paths: the legacy SAP BPC product (on-premise and cloud) and the newer SAP Analytics Cloud (SAC) Planning. SAP BPC has deep consolidation capabilities and strong integration with SAP ERP. SAC Planning is SAP's cloud-native planning platform, positioned as the successor to BPC for planning use cases. For SAP ERP customers, the SAP EPM ecosystem is the natural choice, though implementation complexity and the transition between BPC and SAC create uncertainty. Compare SAP BPC with Arvexi.
6. BlackLine. BlackLine is not a traditional EPM platform. It does not offer planning or budgeting. It is included here because many organizations use BlackLine as their close and reconciliation layer alongside a planning platform like Anaplan or Workday Adaptive. BlackLine's strength is financial close management and account reconciliation for organizations that want a dedicated close solution rather than a close module within a broader EPM suite. BlackLine acquired SAP's intercompany financial management solution in 2024, adding consolidation-adjacent capabilities. Compare BlackLine with Arvexi.
7. Arvexi. Arvexi is an AI-native platform focused on the Controller's office (account reconciliation, financial close, consolidation, and AI-powered investigation via Cortex. Arvexi does not offer budgeting, forecasting, or planning). It is not a full EPM suite. Its focus is automating the close and consolidation processes that traditional EPM platforms organize for humans to perform. Auto-reconciliation handles 70 to 85 percent of accounts without human intervention. Close timelines compress from 10-plus days to 3 to 5 days. For organizations that need the close, consolidation, and reconciliation capabilities of EPM but have separate planning tools (or use spreadsheets for planning), Arvexi offers a faster, more automated approach to the close half of EPM.
EPM versus point solutions: the architectural decision
Organizations face a fundamental choice when building their financial technology stack: a unified EPM platform that covers everything, or best-of-breed point solutions for each function.
The case for unified EPM. A single platform means a single data model, single vendor, single integration, and no reconciliation between systems. When planning and close operate on the same data, actual-versus-budget reporting is automatic. When consolidation and reporting share a data model, regulatory filings tie to the underlying consolidation without manual verification. The operational simplicity of unified EPM is its strongest argument.
The case for point solutions. No single vendor is best-in-class across all EPM functions. Anaplan may be the best planning platform but has no close capability. Arvexi may have the most advanced AI reconciliation but does not offer budgeting. FloQast may have the best close management UX for mid-market teams but lacks consolidation. Point solutions let you select the best tool for each function, but you accept the integration and reconciliation overhead between systems.
The hybrid approach. Many organizations land on a hybrid: a planning platform (Anaplan, Workday Adaptive) paired with a close/reconciliation platform (Arvexi, BlackLine). This provides best-of-breed for the two most distinct functions: planning is driven by FP&A teams with modeling requirements, while close is driven by the Controller's team with reconciliation and compliance requirements. The integration between planning and close is manageable because the data flow is simple: actuals from the close platform feed into the planning platform as a baseline for forecasting.
How AI is changing EPM
AI is transforming EPM from a system of record into a system of intelligence. The impact varies by EPM function.
In reconciliation and close, AI has the most immediate impact. Auto-reconciliation, autonomous variance investigation, and automated work paper generation are production-ready capabilities that reduce close labor by 60 to 80 percent. This is where AI-native platforms like Arvexi differ most from traditional EPM. The AI does the work, not just highlights it.
In consolidation, AI validates elimination entries, detects intercompany mismatches before they reach the consolidated statements, and identifies currency translation anomalies. This is an augmentation use case, AI assists human judgment rather than replacing it,, because consolidation decisions (ownership changes, restructuring events, new entity onboarding) require professional expertise.
In planning, AI generates baseline forecasts from historical actuals, identifies planning assumptions that diverge from trends, and produces scenario analyses automatically. AI-assisted forecasting is becoming standard in planning platforms, though the accuracy depends heavily on data quality and the stability of the business being modeled.
In reporting, AI generates variance commentary. The narrative explanations that accompany variance reports. Instead of an analyst writing "Revenue increased 8 percent driven by higher volume in the Western region partially offset by price compression in the Eastern region," the AI generates that commentary from the underlying data. This is a time-saver but requires human review because the commentary must reflect business context that the AI may not fully capture.
60-80%
Close labor reduction from AI reconciliation
3-5 days
Close timeline with AI-native platforms
70-85%
Accounts auto-reconciled without human intervention
Frequently asked questions
What is the difference between ERP and EPM?
ERP (Enterprise Resource Planning) records transactions: invoices, payments, journal entries, purchase orders, payroll. It is the system of record for business operations. EPM (Enterprise Performance Management) operates above the ERP, aggregating transactional data across entities and time periods to support planning, close, consolidation, and reporting. Most organizations need both: ERP for running the business day-to-day and EPM for managing financial performance at the strategic level.
What is the best EPM software?
The best EPM platform depends on which functions matter most to your organization. Oracle EPM Cloud is the most comprehensive suite for large enterprises. OneStream provides the best unified data model. Workday Adaptive leads in cloud planning. Anaplan excels at connected planning across business functions. Arvexi provides the most advanced AI automation for close and reconciliation (though it does not cover planning). Most organizations should start by identifying their primary pain point, planning, close, consolidation, or reporting,, and select the platform that is strongest in that area.
How much does EPM software cost?
EPM pricing ranges from $50,000 to over $1 million per year depending on vendor, modules, entity count, and user count. Planning-only deployments (Workday Adaptive, Anaplan) typically cost $100,000 to $400,000 per year. Full-suite EPM (Oracle EPM, OneStream) ranges from $200,000 to $1 million or more. Close-focused platforms (Arvexi, BlackLine) range from $30,000 to $500,000 depending on scale. Implementation costs are separate and can be substantial: $100,000 to $500,000 or more for complex enterprise deployments.
Do you need EPM if you already have an ERP?
Yes, for most organizations above 100 employees. ERPs are designed for transaction processing, not financial management. They lack the planning models, consolidation engines, close workflows, and analytical capabilities that finance teams need. Some ERPs (Oracle, SAP, Workday) offer EPM modules, but many organizations find that a dedicated EPM platform provides deeper functionality and more flexibility than their ERP vendor's EPM add-on.
Can you replace EPM with AI-powered close software?
If your primary EPM need is close and reconciliation (not planning or budgeting), then yes (an AI-native close platform like Arvexi can replace the close, reconciliation, and consolidation modules of a traditional EPM suite. If you also need budgeting and forecasting, you would pair the close platform with a dedicated planning tool (Workday Adaptive, Anaplan)), a combination that many organizations find more effective than a single EPM suite that is mediocre across all functions.
How long does EPM implementation take?
EPM implementation timelines vary dramatically by vendor and scope. Planning-only platforms (Workday Adaptive) typically deploy in 2 to 4 months. Full-suite EPM (Oracle EPM, OneStream) takes 6 to 18 months. Close-focused platforms (Arvexi) deploy in 2 to 6 weeks. The primary drivers are the number of entities, the complexity of consolidation rules, ERP integration requirements, and the extent of custom reporting and planning models. Organizations should plan for at least two close cycles in parallel (old and new process running simultaneously) before cutting over.
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