Oracle Ecosystem

Oracle Fusion Agents

AI agents purpose-built for Oracle Fusion Cloud workflows.

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Insights on Oracle Fusion AI agents and Oracle Cloud applications.

Oracle Fusion AI Agents vs. Embedded Process AI: Why Enterprise Teams Need Both
ERP
May 19, 2026

Oracle Fusion AI Agents vs. Embedded Process AI: Why Enterprise Teams Need Both

Oracle Fusion AI Agents and embedded process AI solve different problems. This article examines why enterprise teams need both, and how each supports a different layer of automation across ERP execution and broader process workflows.

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Why AI Readiness Fails Without Process Readiness, Data Quality, and a Real Roadmap
Artificial Intelligence
May 5, 2026

Why AI Readiness Fails Without Process Readiness, Data Quality, and a Real Roadmap

AI adoption often fails long before technology becomes the real issue. This article examines why process readiness, data quality, organizational alignment, and a prioritized roadmap are essential to turning AI initiatives into measurable business value.

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Predictive AR: Using AI and Machine Learning to Forecast Customer Payment Behavior
Accounts Receivable
Feb 17, 2026

Predictive AR: Using AI and Machine Learning to Forecast Customer Payment Behavior

Predictive AR is transforming accounts receivable from a reactive collections function into a forward-looking risk management engine. By leveraging AI and machine learning within Oracle Cloud, finance teams can forecast customer payment behavior, prioritize follow-ups, reduce DSO, and strengthen working capital performance.

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From Manual to Model-Driven: Forecasting Cash with Predictive Analytics
Artificial Intelligence
Feb 11, 2026

From Manual to Model-Driven: Forecasting Cash with Predictive Analytics

Organizations are moving beyond spreadsheet-based forecasting and adopting predictive, model-driven approaches inside Oracle Cloud. By leveraging real-time data, historical patterns, and scenario modeling, finance teams gain sharper visibility into liquidity, improve working capital decisions, and strengthen resilience across planning cycles.

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