Financial reporting is becoming more than a structured output at the end of a close cycle. It is becoming a connected reporting discipline where finance teams need speed, governance, collaboration, automation and intelligent narrative support.
Modern CFOs and controllers are expected to deliver accurate reports faster, explain variances clearly, support board-level review, manage regulatory reporting, collaborate across contributors and reduce manual effort across recurring reporting cycles. This requires more than traditional report production. It requires a reporting environment that can combine data, narrative, analytics, workflow and AI in a controlled way.
Oracle’s March 2026 Cloud EPM Reporting update focuses on enhancements across Reports, Narrative Reporting, Report Packages and Generative AI. The update includes improvements for report design, bursting, Smart View, OAC dashboard integration, report package automation, XBRL connectivity, Doclet Workflow Notes, AutoTextSummary and Gen AI narrative use cases.
For finance organizations, the direction is clear: Oracle Cloud EPM Reporting is moving toward a smarter reporting operating model where reporting teams can automate repetitive work, improve collaboration and use AI to strengthen narrative analysis.
Why EPM Reporting Needs to Evolve
Finance reporting teams often operate under pressure. Month-end packs, board reports, management reports, statutory reports and executive summaries all require accuracy, consistency and timely review.
However, many reporting processes still depend on:
- Manual refreshes
- Repeated report distribution steps
- Email-based review comments
- Disconnected analytics dashboards
- Static narrative commentary
- Manual variance explanations
- Multiple reporting tools
- Limited report package workflow visibility
- Heavy administrator dependency
Oracle’s latest updates address these challenges by improving reporting automation, designer control, collaboration and AI-assisted narrative capabilities. The result is a more governed and scalable approach to enterprise performance reporting.
Reports Enhancements: Cleaner Design, Better Usability and Stronger Control
Oracle continues to improve Reports with enhancements that help designers, administrators and report consumers work more efficiently.
The update includes new capabilities such as duplicate conditional format consolidation, enhanced drill menus, prompt support for bursting definitions, Smart View prompt hierarchy display, repeated heading control, RelativeMember enhancements, advanced Notes Manager filtering and new text functions.
These improvements support two major goals:
First, they reduce report maintenance effort. Second, they improve usability for users who consume, review and act on report information.
Auto-Consolidation of Duplicate Conditional Formats
When organizations migrate Financial Reporting reports into Reports, duplicate conditional formats can create unnecessary complexity.
Oracle now consolidates duplicate conditional format definitions during migration. For example, if the same conditional format is applied to 200 cells, it can be migrated as one conditional format applied to 200 cells instead of 200 separate definitions.
This is valuable for organizations modernizing legacy reporting assets because it helps simplify report administration and reduces cleanup effort after migration.
Enhanced Drill Experience and Cell Comments
Oracle has improved the drill experience for report users. When users drill on a grid cell, the shortcut menu now uses icons to identify whether the available action relates to drill-to-content, drill-through, cell attachments or text. Oracle also supports the display of cell comments entered in forms or ad hoc grids, with comment text visible on hover.
This improves the user experience by making supporting detail easier to identify and access. For finance reviewers, this means less confusion and faster investigation.
More Flexible Bursting with Prompt Support
Bursting is critical for distributing reports to different stakeholders, business units, regions and entities. Previously, reports or books with prompts inside bursting definitions used default prompt selections. Oracle now supports responding to prompts within bursting definitions at both designer and execution level.
This gives reporting teams stronger control over distributed outputs. It also makes bursting more useful for organizations that need audience-specific reporting based on segment, entity, period or other POV selections.
OAC Dashboard Integration in Narrative Reporting
Oracle now supports inserting Oracle Analytics Cloud dashboard canvases into Narrative Reporting reports as static refreshable Analytics Images. These Analytics Images can also be embedded into Narrative Reporting Report Packages.
This is an important development for finance teams that want to combine EPM reporting with analytics visualization. Instead of managing dashboards and narrative reports separately, teams can bring OAC visuals into controlled reporting outputs. While Oracle notes that interactive dashboard actions such as hover and drill are not available in the Analytics Image, the feature still creates a stronger bridge between analytics and narrative reporting.
EPM Automate Enhancements for Bursting
Oracle has introduced a new optional prompt parameter for executing bursting definitions through EPM Automate in Narrative Reporting. The updated command allows prompt values to be passed during bursting execution, and multiple prompt parameters can be specified. Oracle notes that this capability is currently available in EPM Automate for Narrative Reporting and not in the broader Cloud EPM Platform.
For administrators, this improves automation control. Scheduled or scripted report distribution can now become more precise because prompt selections can be included as part of execution.
Inline PDF Viewer in Narrative Reporting Library
Oracle now allows published PDF files to be viewed inside the Narrative Reporting Library through an inline PDF viewer. This improves review efficiency because users do not need to download a PDF every time they want to inspect a published report. For finance teams working through multiple published outputs, this reduces friction in the review cycle.
Improved Bursting CSV Management
Oracle has enhanced bursting CSV file handling. Users can generate and download a bursting CSV file based on Bursting POV dimension selections, download an empty CSV file, download the selected CSV file and populate the Bursting POV dimension from a distribution file using copy members at upload.
This creates more flexibility for report distribution administration. At the same time, finance teams should apply validation discipline because Oracle notes that invalid member names in the CSV file will not return a bursting definition validation error.
Report Package Automation: A Stronger Foundation for Recurring Reporting
Report Packages are often used for board reporting, management reporting, statutory reporting and other structured reporting cycles. These processes require coordination across multiple authors, reviewers, approvers and data sources.
Oracle has introduced several Report Package improvements, including data source refresh automation, EPM Automate and REST API support, tighter Ez-XBRL integration, OAC dashboard analytic images as available content and Doclet Workflow Notes.
These updates help make Report Packages more automated, more collaborative and better connected to broader reporting ecosystems.
Report Package Data Source Refresh Automation
Oracle introduced a new job type to automate data source refresh inside Report Packages. Users can run the refresh immediately or schedule it daily or weekly. They can also choose whether to refresh all data sources or an individual data source. Completed jobs show execution details, including refresh execution time and doclets refreshed and updated.
Oracle also introduced the refreshReportPackageDatasource EPM Automate command and enhanced the Create a New Job REST API with ReportPackageDSRefreshJobParameters.
This is highly relevant for finance teams that need repeatable reporting operations. Automating data source refresh can reduce manual intervention, improve consistency and support more reliable reporting timelines.
Tighter XBRL Connectivity
Oracle has enhanced integration with Ez-XBRL Solutions by creating direct linkages between Report Packages and Ez-XBRL XOR source documents.
Report Package content can be published into XOR while passing key reporting details such as Company Identifier, Mandate, Form Type and Reporting Period. Oracle also supports an XBRL Service URL setting and Report Package variables using the format XBRL.Property.Variable name. For external reporting teams, this can reduce handoff friction between narrative report preparation and XBRL tagging workflows.
Doclet Workflow Notes: Bringing Review Conversations into the Reporting Process
Doclet Workflow Notes allow authors and approvers to add commentary during doclet development and review. Authors can add submission context for approvers. Approvers can add rejection context for authors. Users can add notes, reply to existing notes, include plain text, rich text and attachments, and manage note status through Open, Post and Close actions. Notifications are sent through messages and email when notes are added, replied to, edited or deleted.
This is a significant collaboration improvement. It helps keep reporting discussions inside the formal report package workflow instead of spreading comments across disconnected email threads. For governance, this is important because reporting commentary becomes more visible, more traceable and more aligned with the report development process.
Generative AI in Oracle EPM Reporting
Oracle is expanding the use of Generative AI in EPM reporting. The latest capabilities include causality zoom improvements and support for multiple Machine Learning files for different reports.
These updates are important because finance narratives are not one-size-fits-all. A board report, management pack, variance report and operational review may each need a different narrative style, level of detail and analytical focus. Gen AI reporting becomes more valuable when teams can control the criteria, templates and context behind the narrative output.
Auto Text Summary Criteria Manager
Oracle introduced the Auto Text Summary Criteria Manager to support additional Gen AI narrative summary features. This allows report designers to define criteria for the AutoTextSummary text function inside a Criteria Definition, instead of specifying parameters directly in the function. The Criteria Definition is then referenced by name inside the AutoTextSummary function. Oracle notes that existing AutoTextSummary text functions are automatically migrated to use the new Criteria Object.
This helps bring structure to AI-generated commentary. Finance teams can define how summaries should be created instead of relying on broad or generic narrative outputs.
Causality Analysis Improvements
Oracle enhanced the causality use case by allowing zoom on two analytic dimensions or a second zoom on one analytic dimension. Previously, the causality use case allowed zoom on only one analytic dimension with one hierarchy defined. This matters because financial movement often has more than one driver.
A revenue variance may need explanation by entity and segment. A gross margin change may require analysis by product and geography. A cost movement may require review by department and account level. Deeper causality support can help reporting teams produce more useful variance commentary and reduce manual analysis.
Multiple Machine Learning Templates for Different Reports
Oracle now supports multiple Machine Learning template files for different reports. Machine Learning template files provide examples of ideal inputs and outputs to guide Gen AI narrative generation. Oracle explains that designers can create custom ML templates for each use case, while end users can choose which template to use when running Summarize Notes. The feature supports seeded and user-defined templates across use cases such as Notes Summarization, exception descriptions, causality and comparative analysis.
This gives reporting teams better control over narrative quality. Instead of using one common template across all reports, different report types can use different narrative models based on audience, context and business purpose.
Future Direction: Reporting Agents, Assisted Authoring and Auto-Translation
Oracle’s roadmap points toward a more intelligent reporting experience. Future and upcoming areas include assisted authoring with Gen AI, contextual data exploration, Data Exploration Analyst, Data Visualization Agent, Dynamic Visualization Assistant, narrative generation for Report Packages and auto-translation. Oracle also identifies report package improvements such as review comment notifications, @Mention, Word doclet version comparison in Smart View and bulk update of doclet user assignments.
This direction suggests that reporting will continue to evolve from static report generation into guided, interactive and AI-supported analysis.
Business Impact for CFOs and Reporting Leaders
The latest Oracle EPM Reporting updates are not only technical enhancements. They affect how finance reporting teams operate.
The impact can be seen across five areas:
Faster Reporting Operations
Automated data source refresh, EPM Automate improvements and bursting enhancements reduce repetitive administrator effort.
Stronger Reporting Governance
Doclet Workflow Notes, multiple job owners, controlled criteria definitions and improved report package workflows strengthen ownership and traceability.
Better Analytical Context
OAC dashboard integration, causality improvements and richer Gen AI summaries help finance teams explain performance with more confidence.
Improved Collaboration
Report package notes and notifications keep review conversations closer to the reporting process.
AI-Ready Reporting
AutoTextSummary, multiple ML templates and future reporting agents prepare finance teams for more intelligent narrative reporting.
For organizations modernizing their EPM reporting environment, these updates create a clear opportunity to reduce manual reporting effort and improve the quality of decision support.
How NexInfo Can Help
NexInfo helps organizations modernize Oracle Cloud EPM Reporting with a practical focus on reporting governance, automation, AI readiness and long-term adoption.
NexInfo’s delivery approach is strengthened by ISO 9001 Quality Management and ISO 27001 Information Security certifications, supporting consistent delivery standards, operational discipline and secure enterprise transformation practices. NexInfo has also received the AI-Enabled Workforce Excellence Award at the 1st Annual Long Beach Business AI Summit, reflecting its focus on applying AI to workforce enablement, enterprise systems and operational transformation.
NexInfo can support organizations with:
- Oracle EPM Reporting assessment
- Narrative Reporting optimization
- Report Package design and governance
- Report migration and modernization
- Bursting definition configuration
- EPM Automate and REST API automation
- OAC dashboard integration planning
- XBRL reporting workflow readiness
- Doclet Workflow Notes adoption
- Gen AI AutoTextSummary configuration
- Machine Learning template governance
- Causality analysis reporting design
- Report package automation roadmap
- Future reporting agent readiness
- User training and managed services
NexInfo helps finance teams move from manual reporting cycles to a more intelligent, automated and governed reporting model.
Conclusion
Oracle Cloud EPM Reporting is entering a new phase. Reports, Narrative Reporting and Report Packages are becoming more connected, more automated and more AI-enabled. Capabilities such as data source refresh automation, OAC dashboard integration, Doclet Workflow Notes, improved bursting, AutoTextSummary criteria management, causality analysis and multiple ML templates can help finance teams modernize the way reporting is created, reviewed, distributed and explained.
The opportunity for finance leaders is not only to adopt new features. It is to redesign reporting as a governed business process supported by automation, analytics and AI.
NexInfo helps organizations adopt Oracle Cloud EPM Reporting innovations with enterprise reporting expertise, ISO-certified delivery governance, AI-enabled transformation experience and continuous support.
FAQ
What is Oracle Cloud EPM Reporting?
Oracle Cloud EPM Reporting includes reporting capabilities across Oracle Cloud EPM, including Reports, Narrative Reporting, Report Packages, books, bursting, notes, automation, dashboard integration and Gen AI narrative features.
What are the latest Oracle EPM Reporting updates?
The latest updates include Reports enhancements, Report Package automation, Narrative Reporting improvements, OAC dashboard integration, XBRL integration, Doclet Workflow Notes, AutoTextSummary Criteria Manager and Gen AI narrative improvements.
What is AutoTextSummary in Oracle EPM Reporting?
AutoTextSummary is a Gen AI text function used to generate narrative summaries. Oracle introduced Auto Text Summary Criteria Manager so report designers can define criteria separately and reference the criteria name inside the AutoTextSummary function.
What is OAC Dashboard support in Narrative Reporting?
Oracle allows Oracle Analytics Cloud dashboard canvases to be inserted into Narrative Reporting reports as static refreshable Analytics Images. These images can also be embedded in Report Packages.
What is Report Package Data Source Refresh automation?
It is a job type that automates data source refresh inside Report Packages. Users can run it immediately or schedule it daily or weekly, and choose whether to refresh all data sources or selected data sources.
What are Doclet Workflow Notes?
Doclet Workflow Notes allow report package authors and approvers to add commentary, replies, rich text and attachments during doclet development and review. Notifications are sent through messages and email.
How does Gen AI improve EPM Reporting?
Gen AI can help generate narrative summaries, explain exceptions, support causality analysis, summarize notes and improve reporting commentary. Oracle is also expanding support for custom ML templates and future reporting agents.
What are multiple ML templates used for?
Multiple ML templates allow different reports or use cases to use different examples for Gen AI narrative generation. They can support Notes Summarization, exception descriptions, causality and comparative analysis.
What is the business value of Oracle EPM Reporting automation?
Reporting automation reduces manual refreshes, improves consistency, supports scheduled distribution, strengthens governance and helps reporting teams meet deadlines with less administrative effort.
How can NexInfo help with Oracle EPM Reporting?
NexInfo can help with EPM Reporting strategy, Narrative Reporting optimization, Report Package governance, automation, OAC integration, XBRL readiness, Gen AI configuration, ML template governance, reporting roadmap planning, user training and managed services.