Key takeaways
- Four new guides explain how to use capabilities included with Oracle AI Agent Studio: the Business Value Dashboard, Content Intelligence, workflow agents, and contextual memory.
- The guides show how AI Agent Studio helps organizations measure business value, improve agent access to data, automate complex workflows, and maintain context across interactions.
- Each guide provides a practical introduction to AI Agent Studio capabilities, helping you understand where they fit and the business challenges they address.
Oracle AI Agent Studio is the development environment for building, managing, and measuring AI agents and agentic applications in Oracle Fusion Cloud Applications. Its capabilities are advancing rapidly, with significant new features expanding what you can build and how you can evaluate results.
We recently published a series of short guides to explain what’s new in clear, business-friendly terms. The guides address four capabilities, all included with AI Agent Studio: Business Value Dashboard, Content Intelligence, workflow agents, and contextual memory. This post links to each guide and gives you a concise summary so you can understand fundamentals, new features, and the challenges they address.
Business Value Dashboard
Leaders need visibility into their returns on AI investments, but measuring the value that AI delivers can be difficult. The Business Value Dashboard tackles the issue head on by giving you tools to estimate cost and time savings based on agent usage data—across all individual agents and agent teams, by product or family. Teams can use the results to evaluate agent performance and refine deployment strategies. This guide explains how it works.
Content Intelligence
Agents thrive on data, especially when it’s unified, complete with full context, AI-ready, and centrally governed. But many organizations find that the data needed for high-performing agents is scattered across departments and disparate systems. This guide explains how Content Intelligence can help by bringing information from Fusion Apps and third-party sources into a shared, searchable content layer for agents and applying controls for security, versioning, and knowledge management.
Workflow agents
In the real world, business processes involve exceptions, decisions, and changing conditions that can cause traditional workflow automation to break down. In contrast, workflow agents can handle exceptions, make decisions, and adapt to change by combining deterministic workflows with AI reasoning. Customers can use these workflow agents to automate well-defined processes that require reliability, repeatability, and correctness. This guide describes agent orchestration patterns and covers best practices for agent design.
Contextual memory
AI can struggle to maintain context across interactions, requiring users to repeat information and restart conversations. Agents are no exception. So AI Agent Studio lets customers build agents with contextual memory for retaining information (e.g., user preferences, prior decisions, and workflow history). The guide describes how contextual memory enables more personalized experiences, smoother handoffs between agents, and continuity across sessions.
Learn more about AI Agent Studio capabilities
AI Agent Studio spans a widening set of agent development, deployment, and measurement capabilities. These four guides can help you understand its core features as well as new enhancements. Use the guides to learn how you can estimate ROI, optimize agents’ access to data, deploy agents for automated workflows, and help them stay on track with context.
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