How Synchronous Mode Works
In a typical execution, EPM Cloud submits a request to the Integration Agent, the agent connects to the configured source, performs the required operation, and returns the resulting data or completion status. The calling integration remains coordinated with that execution rather than treating the request as an independent background activity.
- Request initiation: EPM Cloud starts the configured integration or extraction request.
- Agent execution: The Integration Agent accesses the permitted source and executes the defined query or operation.
- Data exchange: Extracted information is transferred securely for the next EPM integration stage.
- Completion response: The execution returns its status so dependent activities can continue in the intended sequence.
This design resembles API Data Integration, where an application request and its response are coordinated to support predictable data exchange. Coding API Integration can extend similar patterns when developers build programmatic connections around finance applications.
Role in ERP and EPM Connectivity
Synchronous execution becomes valuable when EPM models depend on current ERP balances, transaction details, master data, or operational information. An ERP Integration Layer: How It Powers Finance Automation approach explains why coordinated ERP connectivity matters when financial planning and reporting depend on live enterprise data rather than disconnected exports.
Oracle Integration Cloud can complement broader Oracle ERP and EPM integration architectures by orchestrating application connectivity, while the Integration Agent addresses supported EPM data-access requirements. Organizations evaluating broader integrations can similarly use secure, real-time ERP data exchange to keep finance applications aligned. An Integrations List page is useful when comparing connectivity across ERP environments such as Oracle, SAP, and QuickBooks.
Finance and Planning Use Cases
A common use case is refreshing actual general ledger balances before running a forecast or management-reporting cycle. Synchronous execution ensures that the required extraction completes before downstream EPM processing uses the resulting dataset. The same principle can support dimensions, operational drivers, account balances, and other source information required by planning or consolidation models.
Procurement data is another relevant example. Finance teams may bring approved purchase order or spend information into planning models for commitment analysis and budget visibility. A Purchase Order API Automation Guide provides useful context for connecting requisitions, purchase orders, approvals, and procurement controls to enterprise applications. Likewise, Purchase Order Automation Tools for ERP Integration illustrates how ERP-connected purchase order activities can improve spend visibility and procure-to-pay data availability.
Multi-ERP and Multi-Entity Context
Organizations operating several ERP instances may need to collect finance data from different entities before preparing consolidated forecasts or management reports. Agentic AI for Multi-ERP Integration provides a related integration model for coordinating activities such as GL posting, accruals, and journal entries across ERP environments. ERP Integration Across Entities with Agentic AI is also relevant where multiple entities require unified invoice processing and consistent ERP connectivity.
For organizations extending finance workflows around Oracle or other ERPs, Rapid ERP Onboarding Using Hyperbots Plug-and-Play Adapters provides context on using standardized adapters to accelerate ERP connectivity. The Hyperbots Platform represents a broader finance automation approach combining document processing and ERP integration for finance and accounting activities.
Configuration and Operational Best Practices
Finance and integration teams should design synchronous executions around clear dependencies. Source queries should retrieve only the data required by the target EPM model, while mappings should align source accounts, entities, periods, currencies, and other dimensions with EPM structures. This keeps data movement focused and makes downstream planning and reporting easier to validate.
- Confirm that the Integration Agent can securely reach every required source.
- Validate source-to-target mappings before scheduled finance cycles.
- Use synchronous execution where downstream processing requires an immediately completed upstream result.
- Keep extraction logic aligned with reporting periods and EPM dimensional structures.
- Review execution status and data validation results as part of close, forecast, and planning controls.
These practices help finance teams maintain dependable data availability and support timely financial decisions without separating EPM calculations from their required source-data dependencies.
Summary
Oracle EPM Integration Agent Synchronous Mode coordinates an EPM integration with an agent-side operation by waiting for the requested activity to finish before dependent processing continues. It is well suited to integrations where planning, forecasting, consolidation, or financial reporting must use a completed and current source-data extraction. With well-defined mappings, secure connectivity, and carefully sequenced dependencies, synchronous mode supports consistent ERP-to-EPM data movement and more reliable finance operations.