Getting Started with Modules Setup Administration Guide
Within the documentation, some content might be specific for cloud deployments while other content is relevant for on-premises deployments. Any content that applies to only one of these deployments is labeled accordingly.
This document explains how to set up the modules that are used in the Admin or User mode of operation.
Note: The instructions and information presented in the documentation are based on an out-of-the-box (OOTB) setup and before being customized by the user.
Access to system functionality is granted through permissions. The ability to utilize a specific function depends on permissions settings (accessed in Admin mode).
The application has two modes of operation:
- Admin (Administration) mode: Company administrators work in Admin mode to set up, for example, company and project/shell properties, user permissions, templates for major features, and data structures. Administrators also configure and set up business process (BP) workflows.
- User mode: Users spend most of their time in User mode. User mode allows users to perform day-to-day activities, collaborate through business processes and Mailbox, maintain, for example, the Cost Manager, Activity Manager, and Document Manager, and run reports.
The Unifier General User Guide explains how to use the options that are available in User mode.
You can switch between modes using the mode icons (User mode 
and Admin mode 
).
Note: This option is not available in the Home workspace because it does not support Admin mode.
Using Artificial Intelligence (AI) Features
Variability of Summaries Generated by AI
Because of how AI large language models (LLMs) function, the summaries generated might vary, even when you generate summaries using the same input data and output options. The AI model makes billions of probabilistic choices when generating text, similar to how a human might rephrase the same idea between different conversations. This approach is by design, with the intention of making the summaries feel natural and dynamic, rather than repetitive and stale. While the wording, ordering, and formatting might vary between summaries, Oracle expects that the core information and accuracy is correct.
Translation of International Data Generated by AI
When the data submitted for summarization is in a language other than English, the model first performs a translation to derive meaning. It then generates the summary in English, leveraging its capability for natural language generation (NLG). This approach provides cohesive summaries of the information, regardless of language.
However, it is important that you are aware of the inherent limitations of machine translation, particularly when it involves technical or domain-specific information. The AI feature relies on patterns learned from vast datasets, but it can occasionally struggle with highly specialized terminology, jargon, or cultural nuances that are not well-represented in its training data. This can lead to inaccuracies or a loss of precise meaning. For this reason, Oracle does not guarantee the accuracy of the summaries when the original data contains languages other than English.
Last Published Monday, October 13, 2025