AI Agent Studio streamlines narrative report generation primarily through two methods. First, using a prebuilt agent template specifically designed for narrative reporting provides a foundational structure and workflow, significantly reducing initial setup time and effort. This allows the finance team to start with a working model instead of building one from scratch. Second, customizing the system prompt is crucial for aligning the AI-generated content with specific company standards for tone, style, and terminology. This fine-tuning ensures the output is more accurate and requires less manual revision, directly accelerating the final report creation process.

A. Enabling multi-language support is a localization feature for reaching different audiences, not a method to streamline the core report generation workflow itself.

C. Changing the underlying data visualization library is a complex developer-level task, not a standard feature for a finance team to streamline report creation.

1. Oracle Cloud Infrastructure Documentation

Digital Assistant

"Agent Templates": This documentation describes how templates provide a pre-configured starting point for building agents

which accelerates development. It states

"You can create an agent from a template

which is a pre-populated agent that you can then customize." This supports the use of templates (Option B) to streamline processes.

Reference: Oracle Help Center

Develop Bots with Oracle Digital Assistant

Section: "Agent Templates".

2. Oracle Cloud Infrastructure Documentation

Generative AI

"Prompts": This source details the importance of prompt engineering to guide the output of large language models. It explains that a well-crafted system prompt can define the persona

tone

and constraints for the AI's response. This directly supports customizing the system prompt (Option D) to align output with company standards

thereby reducing manual edits.

Reference: Oracle Help Center

OCI Generative AI

Section: "Prompts".