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AI for Oracle EBS?
The Question Every CIO Is Asking.

Despite being mission-critical for thousands of enterprises worldwide, many Oracle EBS environments remain heavily dependent on manual intervention

The Business Outcomes Enterprises Are Seeking:

“Can AI automate a task?”

to 

Can AI run an entire business process?

Organisations running Oracle EBS are looking for:

  • Faster enterprise-level process cycles — hours to minutes
  • Reduced operational costs — lower cost-per-transaction without adding headcount
  • Improved customer satisfaction
  • Better employee productivity — teams shift from manual data entry to exception review and decision-making
  • Scalable operations without proportional headcount growth — absorb 2–3x transaction volume with the same team

Agentic AI provides the foundation for achieving these outcomes.

Why Oracle EBS Is the Perfect Candidate for Agent-Led Transformation

Despite being mission-critical for thousands of enterprises worldwide, many Oracle EBS environments still rely on:

  • Manual enterprise-level transaction processing
  • Human-driven exception management
  • Spreadsheet-based analysis
  • Reactive customer communications
  • Multi-team transaction approvals

These processes generate significant operational overhead. Manual EBS workflows don’t just impact productivity — they cost your best people’s time.

The opportunity lies not in replacing Oracle EBS, but in making it intelligent.

Agentic AI can sit on top of Oracle EBS and transform it from a transactional system into an autonomous execution platform.

Same oracle EBS, a capable tomorrow

Our Approach: AWS Bedrock + Oracle EBS

At CES, we have developed a next-generation Agentic AI framework that integrates AWS Bedrock with Oracle EBS to create autonomous transaction-processing agents.

The solution combines:

AWS Bedrock

  • Foundation Models
  • Agent Orchestration
  • Knowledge Bases
  • Guardrails
  • Memory Management

Oracle EBS

  • Inventory to Fulfilment
  • Procure to Pay
  • Record to Report
  • Quote to Order
  • Order to Cash
  • Plan to Produce
  • Product Lifecycle Management
  • Hire to Retire

Enterprise Integration Layer

  • Real-time APIs
  • Business Rules
  • Workflow Orchestration
  • Secure Transaction Execution

This architecture enables AI agents to analyse situations, make governed decisions, and execute actions directly within Oracle EBS while maintaining enterprise controls and auditability.

Governance Matters: AI You Can Trust

One of the biggest concerns around enterprise AI adoption is governance. Our architecture addresses this through:

  • Human-in-the-loop approvals
  • Role-based access controls
  • Policy-driven workflows
  • AI guardrails
  • Audit trails
  • Hallucination mitigation controls
  • Secure enterprise integrations

The goal is not uncontrolled automation but a trusted autonomy.

About the Author

Vinay Alluri is vice president and head of the global development centre at CES. He leads global operations and transformation initiatives, helping organizations improve business performance through enterprise applications, cloud technologies, AI, and automation. With extensive experience delivering complex programs across industries and international markets, he focuses on driving operational excellence, scaling business processes, and translating technology investments into measurable business outcomes.