Oracle Cloud EPM AI Innovations: Enhancing Finance with AI and Machine Learning

AI is no longer just a concept for the future—it is here today in Oracle Cloud EPM, ready to revolutionize your financial and business processes. This blog will go over some of the strategies in EPM, what AI capabilities are already available, and what new AI features are on the horizon.

Agenda Overview

  1. Vision for AI in Oracle Cloud EPM

  2. Oracle CloudWorld Announcements

  3. AI in EPM Applications

    • Traditional AI

      • Predictive Planning

      • AI-Assisted Data Analysis (Insights)

      • Predictive Cash Forecasting

    • Generative AI

      • Narrative (NR + Insights)

Oracle Cloud EPM AI Strategy

Oracle Cloud EPM leverages AI-powered innovation to improve forecasting, financial reporting, and process automation.

o   Embedded AI in EPM at no extra cost

o   Powered by Oracle Cloud Infrastructure (OCI) AI & LLMs

o   Privacy and security built into every layer

o   Extensible AI framework grounded in EPM data

AI Use Cases in Oracle Cloud EPM

1. Traditional AI Features (GA - Generally Available)

               I.         Predictive Planning – Enhances forecasting with AI-driven data insights.

             II.         IPM Insights – Detects trends, issues, and opportunities automatically.

           III.         Predictive Cash Forecasting – AI-driven daily cash flow predictions for better liquidity management.

2. Generative AI Features (GA - Generally Available)

      I.         Narrative Generation – Uses GenAI to generate management reports, variance analysis, and executive summaries.

AI-Driven Finance: Automating Key Financial Processes

Oracle Cloud EPM integrates AI across multiple financial processes:

o   Predictive Forecasting – Uses AI/ML for revenue and cash flow projections.

o   Insight Exploration – AI-assisted anomaly detection and variance insights.

o   Auto Reconciliation – ML-based transaction matching and error detection.

o   Narrative AI Reporting – Auto-generates financial narratives, comparisons, and insights.

o   Outcome: AI helps finance teams streamline operations, increase accuracy, and enhance decision-making.

AI-Powered Digital Assistants & AI Agents

o   Conversational Agents – Enable finance teams to interact with data using natural language.

o    Supervisory Agents – Automate compliance, reconciliation, and financial rule enforcement.

o   Functional Agents – Assist in forecasting, expense analysis, and cash flow management.

o   Utility Agents – Automate journal entries, expense policy audits, and master data augmentation.

Oracle Cloud EPM AI Use Cases in Action

1. AI-Powered Forecasting

      I.         Predictive Planning:

  • Automatically generate forecasts based on historical data

  • Compare AI-generated forecasts vs. actuals

  • Detect bias and anomalies in predictions

2. AI-Driven Reconciliation & Compliance

      I.         Auto Reconciliation:

  • Intelligent transaction matching

  • AI detects and resolves data discrepancies

      I.         Policy Risk Assessment Advisor:

  • AI-driven audit compliance checks

  • Identifies financial policy risks

3. AI-Assisted Data Analysis

       I.         IPM Insights (AI-Assisted Data Exploration):

  • Uncovers hidden patterns in financial data

  • Detects unexpected variances in forecasts and actuals

      I.         Data Visualization Agent:

  • Auto-generates AI-driven dashboards

  • Uses natural language processing for real-time insights

GenAI in Cloud EPM Narrative Reporting

      I.         Auto-Generate Financial Narratives

  • Compare budget vs. actuals

  • Identify key financial variances

  • Provide AI-generated root cause analysis

      I.         GenAI Summaries & Causal Analysis

  • Automatically summarize insights across reports

  • Generate contextual explanations for predictions

AI-Driven Cash Management: Predictive Cash Forecasting

      I.         AI-Driven Treasury Management

  • AI identifies liquidity risks

  • Optimizes payables & receivables

  • Provides data-driven treasury insights

·      Cash Forecasting Horizons
> Short-Term (Rolling 10 Days) – Treasury cash positioning
> Mid-Term (3-6 Months) – AI-driven liquidity planning
> Long-Term (1-5 Years) – Strategic cash flow modeling

What’s Next? Future AI Enhancements

o   Advanced AI Predictions – Multivariate forecasting models

o   GenAI for Data Visualization – AI-generated financial dashboards

o   Contextual Data Exploration – AI-powered data discovery in Smart View

o   Expanded Machine Learning Use Cases – AI-enhanced operational modeling

Key Takeaways

o   Oracle Cloud EPM embeds AI to automate finance processes.

o   Predictive AI enhances planning accuracy & efficiency.

o   Generative AI enables real-time financial storytelling.

o   Digital AI Agents simplify data analysis & compliance.

o   Finance teams can use AI without deep technical expertise.

Reference:

EPM - AI in EPM: Strategy and Overview

Oracle Cloud EPM’s AI innovations are reshaping finance, turning complex data into actionable insights and automating critical processes—but unlocking their full potential requires expertise. Whether you’re looking to implement predictive analytics, streamline compliance automation, or harness generative AI for financial storytelling, iArch Solutions is here to guide your journey. Ready to future-proof your finance operations? Contact iArch Solutions today to tailor Oracle’s AI-driven EPM tools to your organization’s needs and maximize your ROI. Let’s transform your financial workflows, together. 🚀

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