Oracle EBS users have relied on manual data entry or older technologies like traditional OCR to lift data from invoices, only to find their teams still bogged down by manual validation, rigid matching rules, and the manual spreadsheet exercises required to track outstanding liabilities at month-end. True transformation requires a unified framework that leverages agentic AI to orchestrate a seamless workflow from intelligent capture to strategic financial control.
Join us to discover how agentic AI and intelligent document processing are revolutionizing accounts payable within Oracle EBS environments. We will explore how intelligent capture eliminates rigid templates to ingest data, and how intelligent matching executes autonomous two-way and three-way matching directly against live Oracle PO and receipt tables. And we will dive into how flexible configuration for accruals recognition gives finance teams real-time visibility into liabilities, transforming the month-end close from a reactive exercise into an automated, predictable process. Learn how to drastically lower processing costs and optimize your ledger - all while preserving your core ERP configurations.
Learning Objectives:
1. Identify and eliminate the manual gaps left by traditional, template-based OCR and manual data entry by leveraging intelligent capture to accurately ingest unstructured invoice data.
2. Maximize straight-through invoice processing by utilizing autonomous two-way and three-way matching directly against live Oracle EBS purchase order and receipt tables.
3. Streamline the month-end close cycle using flexible configurations for accruals and recognition that provide real-time visibility into outstanding liabilities without manual spreadsheet tracking.
Educational Tracks:
Analytics / BI
E-Business Suite
Presenter:
Rose Havranek, Solutions Architect, IntelliChief
Sponsored By:
IntelliChief