How to Enable Oracle AI for E-Business Suite Without Migration

For many Oracle E-Business Suite (EBS) customers, AI adoption has seemed tied to a move to Oracle Fusion Cloud. That assumption is changing. Oracle now provides multiple ways to add natural language querying, agentic AI, and intelligent automation to Oracle EBS without migrating the application. Organizations can begin realizing AI value while continuing to build on their existing investment.

• Oracle AI capabilities can be added to Oracle E-Business Suite without migrating to Oracle Fusion Cloud.
• Oracle Select AI and Oracle AI agents support everything from natural language reporting to business process automation.
• Enterprise Command Centers (ECC) are optional but can simplify AI adoption.
• Existing AI investments should be evaluated individually rather than replaced automatically.
• A phased approach helps organizations adopt AI while maintaining governance and control.

Several developments have made AI more practical for Oracle EBS customers. Oracle Database 23ai, now branded Oracle Database 26ai, introduces capabilities such as AI Vector Search, Select AI, in-database machine learning, and native support for AI agents. Oracle has also expanded its Enterprise AI and AI Database Private Agent Factory, providing organizations with production-ready options for retrieval-augmented generation (RAG) and agentic workflows.

At the same time, business users increasingly expect to interact with enterprise systems in natural language rather than through traditional reports. AI allows organizations to improve productivity while continuing to leverage their existing Oracle EBS investment.

Oracle Select AI allows users to ask business questions in plain language instead of writing SQL or building custom reports.

For example, a finance manager could ask, "Which suppliers have the highest overdue balances this quarter?" Select AI translates the request into SQL, validates the query, and returns information directly from Oracle EBS.

Oracle's reference architecture combines Oracle APEX, Oracle Database, and Oracle Cloud Infrastructure (OCI) Generative AI to support this experience. Rather than migrating Oracle EBS, organizations modernize their databases and connect them to Oracle's AI services.

Typical prerequisites include:

• Oracle EBS 12.2.7 or later
• Oracle Database 19c and 23ai/26ai
• Oracle APEX 24.1 or later
• Connectivity to OCI Generative AI

Select AI is ideal for reporting and data exploration, but it is designed to answer questions rather than perform business actions. Organizations looking to automate work should also consider agentic AI.

Agentic AI extends beyond reporting by helping execute business processes.

Oracle offers two complementary approaches. Oracle AI Database Private Agent Factory enables organizations to build governed AI agents close to the database using low-code tools and prebuilt templates. Oracle has demonstrated how these agents can support tasks such as contract renewals by retrieving Oracle EBS data and preparing it for downstream processing. OCI Enterprise AI provides a cloud-based platform for broader AI applications spanning Oracle and non-Oracle systems, while supporting multiple language models and built-in governance.

Rather than replacing one another, the two platforms support different business needs depending on where AI will execute.

No.

Oracle Select AI and Oracle's agent platforms connect directly to Oracle EBS without Enterprise Command Centers.

However, organizations already using ECC may be able to accelerate AI adoption. ECC provides business-friendly data models, inherited Oracle EBS security, and role-based dashboards that make it easier to surface AI-generated insights.

Organizations without ECC can still adopt AI successfully, but should expect additional effort to model business data and security.

Many Oracle EBS customers have already developed AI capabilities using custom integrations, middleware, or third-party applications. Those investments should be evaluated individually rather than replaced automatically.

Existing solutions may continue to make sense when they support critical business processes, meet regulatory requirements, or already deliver reliable business value. Oracle's native AI capabilities may provide greater benefits when organizations want to reduce custom development, strengthen governance, simplify security, or introduce agentic workflows.

The goal is not to replace every existing solution. It is to identify where Oracle's expanding AI platform reduces complexity while preserving investments that continue to deliver value.

Organizations can reduce risk by introducing AI in phases.

A practical roadmap includes:

1. Modernize the Oracle Database foundation.
2. Review existing AI initiatives before starting new ones.
3. Pilot Oracle Select AI for high-value reporting scenarios.
4. Introduce a focused agentic AI use case.
5. Build governance early and expand based on measurable business outcomes.

This phased approach helps organizations build confidence while developing a long-term AI strategy aligned with business priorities.

Oracle has made AI more accessible for Oracle E-Business Suite customers without requiring a cloud migration. By starting with practical use cases and building on existing investments, organizations can introduce AI in a way that balances innovation with governance.

At SMACT Works, we help organizations evaluate Oracle AI capabilities within the context of their existing Oracle environments. Whether you're modernizing Oracle E-Business Suite, planning future cloud initiatives, or assessing your current AI investments, we work alongside your team to develop a strategy that aligns with your business objectives and long-term technology roadmap.

Contact us to learn how we can help you build a practical approach to Oracle AI adoption.