Use Cases & Workflows
Discover how natural language changes the way you interact with Oracle EPM.
Example Scenarios
The Month-End Rollover
Instead of navigating menus to update variables and run scripts sequentially, simply tell your AI assistant:
The MCP server translates this intent, fetches the variable endpoints, patches them, and submits the job, returning the execution status to the chat.
Security & Access Audits
Quickly audit user access without running reports:
The AI uses the Security roles endpoints, parses the JSON payload, and formats it beautifully for you.
Metadata Troubleshooting
Resolve calculation issues by questioning the hierarchy:
The server retrieves the dimension member properties and the AI analyzes the data storage and consolidation operators to give you an immediate answer.
Explain a Variance
Get a driver analysis instead of a data dump:
The server runs a deterministic drill-down through the hierarchy, ranking each child's contribution to the parent delta level by level. The AI narrates the computed tree — it never invents numbers.
Pre-Deployment Drift Check
Know exactly what changed before you migrate:
The diff engine reports every artifact added, removed, or changed — with section-level summaries for changed XML — so the AI can brief you on real configuration drift, ignoring formatting noise.
Close-Cycle Journal Review (FCC)
Keep the close moving without opening the FCC UI:
The server sweeps every journal workflow state, pulls line-item detail, and the submit action waits for your explicit approval before anything is sent to Oracle.