Small steps, big intelligence: modernizing EBS with Oracle AI Data Platform

At Inoapps, we have many customers who rely on Oracle E-Business Suite (EBS) as the backbone of their operations. Over the years, they’ve fine-tuned it with customizations and integrations to make it a perfect fit for their businesses. Their EBS environments are stable, supported and doing their jobs. There’s no compelling reason to replace what’s working so well.

But the technology landscape is shifting fast. AI has moved beyond being a buzzword and is now a practical tool for unlocking insights and accelerating processes. For businesses staying on EBS, the question isn’t ‘should we move’ but rather ‘how do we bring AI into the picture?’ That’s where Oracle AI Data Platform comes in.   

Oracle AI Data Platform: a practical path to AI for EBS

Oracle AI Data Platform is a next-generation solution designed to transform how businesses use their data. It was launched in October 2025 and brings together data integration, governance, and advanced AI/ML capabilities in a single, cloud-native environment.

Many organizations already have a data warehouse or data lake, but Oracle AI Data Platform goes beyond storage and reporting. It unlocks predictive insights, automates decisions and creates real-time intelligence from existing data.

When the team here thought about who it could benefit most, our EBS customers stood out. It feels like the missing piece. It allows them to keep their personalized, customized EBS environments intact while tapping into cutting-edge AI capabilities.

Modernizing EBS with AI, one step at a time

For organizations with mature data strategies, the quickest win comes from layering Oracle AI Data Platform with EBS data. Instead of a full-scale migration, start small—move data from a single module or process. This lets you modernize incrementally, reduces risk, delivers early results and builds momentum for future transformation.

Here’s an example. One of our EBS customers wants to improve project performance and forecasting without disrupting their core environment. By moving project-related data like budgets, actuals, resource assignments, and billing details into Oracle AI Data Platform, we can unlock advanced capabilities that go far beyond traditional reporting. Here’s what it looks like:

• Predictive project performance
  
  Using historical project data and machine learning models, the platform forecasts cost overruns, schedule delays, and resource bottlenecks early. This means proactive corrective actions can be taken before issues escalate.
  
  
• Intelligent resource allocation
  
  AI algorithms analyze past performance, skill profiles, and availability to recommend optimal resource assignments. This reduces idle time, improves utilization, and lowers overall project costs.
  
  
• Automated anomaly detection
  
  The system continuously monitors project transactions for unusual patterns like duplicate billing or inflated expenses, helping to maintain compliance and prevent fraud.
  
  
• Scenario modeling for strategic planning
  
  Executives can run ‘what-if’ simulations on budgets, timelines, and resource changes to understand the impact before making decisions for more agile and informed planning.

This approach delivers real value now, without the disruption of a full move to Oracle Cloud Applications.

If you’re looking for a practical, low-risk way to modernize EBS, improve project outcomes, and build a foundation for future transformation, this is one to consider. It’s early days yet, but the team here is excited at the potential and ready to help you take the first step.

Next up: Accelerating EBS innovation with Oracle AI Services

Join me on January 21st for the next webinar in our Advance your EBS series: Oracle AI Services: Accelerating Innovation in EBS

If you want to explore the potential of AI for your business, get in touch with the Oracle AI experts at Inoapps—we’d love to hear your use case.