Key takeaways

  • A new capability in Oracle AI Agent Studio, Content Intelligence brings together structured, unstructured, transactional, and conversational data to give AI agents the context to deliver more accurate responses.
  • Built-in search, security, and content management help organizations govern enterprise content and make it easier for AI agents to find and use relevant information.
  • With richer context from across the business, AI agents can automate work, improve decision-making, and improve productivity.

AI agents can help automate work, answer questions, and support decision-making. But to deliver on their full potential, they need access to the right information and enough context to understand it. In most organizations, that information exists in records stored in enterprise applications, case histories, documents, emails, collaboration tools, and even image and video files. While AI is good at interpreting different data types, companies often struggle to make all that fragmented information available to the agents.

Content Intelligence, a new capability within Oracle AI Agent Studio in 26B, addresses this challenge. It helps organizations consolidate multiple content and data types from various sources in a unified enterprise knowledge store so AI agents can deliver more accurate, useful responses.

What is Content Intelligence?

Content Intelligence gathers, organizes, and prepares enterprise content for use by AI agents. It connects to Oracle Fusion Cloud Applications and all the transactional and unstructured data stored in them. Out-of-the-box connectors for SharePoint, web, and custom content make it easy to gather information from third-party sources. (Support for Slack, Jira, Confluence, Google Drive, Dropbox, Box, and more is planned in upcoming releases.)

It can handle the following content types:

  • Structured data: business objects, reference data, configuration records
  • Unstructured content: documents, PDFs, policy manuals, contracts
  • Generated content: AI-produced summaries, short-form answers, synthesized insights
  • Conversational content: service request threads, chat transcripts, agent interaction logs
  • Transactional data: enriched and normalized for LLM consumption
  • Long-term memory: responses from agent interactions, vectorized and indexed for reuse

Content Intelligence helps make all this information available as a shared, governed layer for powering agents.

Key capabilities

Content Intelligence includes tools for processing raw content into forms that AI agents can search and reason over. It also provides tools to securely access and manage content, reducing the maintenance burden of distributed repositories. Key capabilities include:

  • Hybrid search combines keyword (lexical) search with nuanced (semantic) understanding to find relevant information. That means an agent searching for “billing issue” could also access results about “invoice discrepancies.”
  • Security controls apply Fusion role-based access policies, so AI agents only view authorized information. For example, a sales AI agent will only use content that matches a sales rep’s role and permissions.
  • Content management capabilities Content management capabilities like approval workflows, versioning, feedback, and ratings keep data current and compliant, while helping teams continuously improve content and preserve a single source of truth.
  • Template-based content creation means summaries, responses, slide decks, and articles created with AI agents follow approved formats and branding. For example, a service agent can generate a customer response with relevant case details and the correct template.
  • Automatic language translation helps global teams share information and work from the same content. That means an article written in English can be quickly translated for support teams in other countries.

How better content impacts your business

A major benefit of the Oracle Fusion Cloud Suite is the common data model that shares transactional data and supports cross-functional business processes. Content Intelligence extends this by making unstructured, generated, and conversational content from multiple sources available across departments.

With access to many data types and improved context, AI agents can better reason across systems and workflows. For example, a financial planning agent can evaluate sales pipeline data alongside hiring trends and production capacity. A service resolution agent can verify contract entitlements, check inventory, and confirm credit status. The information agents need is no longer locked in separate systems. All this helps organizations improve decision-making, reduce manual effort, and increase productivity.

Available now in AI Agent Studio

AI agents are only as effective as the information they can access. Without context, they may miss important details or generate responses that don’t accurately reflect business conditions. Content Intelligence can help. It provides richer context to AI agents based on reliable, vetted information. To learn more, download the business brief “Content Intelligence: From Siloed Knowledge to Enterprise-Wide Intelligence” (PDF).

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