The integration of generative AI into Oracle Cloud HCM presents a powerful opportunity to streamline HR processes, reduce repetitive tasks, and create a more productive, engaging workplace. With updates in Oracle Cloud HCM (24A, 24B, 24C, 24D, and 25A), Oracle has embedded several AI capabilities directly into HCM functions. These tools aim to enhance efficiency, save valuable time, and help HR teams focus on more strategic and impactful work—while keeping sensitive data secure.

In this article, we explore how generative AI works in Oracle Cloud HCM, its key features across various releases, and the steps to implement these capabilities in your organization.

How Generative AI Works in Oracle Cloud HCM

Generative AI in Oracle Cloud HCM leverages cutting-edge large language models (LLMs) from Cohere, a leading AI provider, to assist HR professionals in their day-to-day tasks. By automating repetitive actions—such as creating performance reviews, drafting job descriptions, or generating feedback—it frees up HR teams to focus on high-impact strategic work. The AI’s role is to enhance productivity and reduce manual work while maintaining a personal, human touch in HR activities.

Key Features of Generative AI

• Included in Your Current License: No additional license is needed; these features come with your existing Oracle Fusion Applications subscription.
• Data Privacy: Oracle guarantees that no customer data is used to train the AI models, and all information remains private, not stored in the OCI Generative AI Service.
• Availability: These AI capabilities are available in Oracle’s listed data centers (refer to MOS Doc Id: 2991131.1) for Fusion Applications users.

Generative AI Features in Oracle Cloud HCM

Oracle’s ongoing updates have brought multiple new features to Oracle Cloud HCM. Here’s a look at some key features by release version:

Oracle Cloud HCM Features in Release 24A

• Core HR: AI helps personalize employee profiles and enhances networking opportunities through the “Connections – About Me” feature.
• Performance Management: AI provides performance review summaries and feedback tips, streamlining evaluation processes.
• Recruiting: AI improves job descriptions, enhances landing pages, and helps match candidates to roles more efficiently.

Oracle Cloud HCM Features in Release 24B

• Journeys: AI helps create automated surveys for employee engagement and journey assessments.
• Recruiting Booster: The AI-powered Candidate Assistant answers common candidate queries, improving their experience.

Oracle Cloud HCM Features in Release 24C

• Recruiting: AI generates personalized email and text communication, enhancing candidate interactions.
• Talent Management: AI helps managers suggest personalized goals based on performance evaluations.

Oracle Cloud HCM Features in Release 24D

• Compensation: AI assists with market composites, helping HR teams make more data-driven compensation decisions.
• Recruiting: AI recommends assets for career sites, making it easier for candidates to navigate.

Oracle Cloud HCM Features in Release 25A

• Learning & Development: AI helps summarize training items, ensuring employees can easily identify relevant learning opportunities.
• Performance Management: AI streamlines the employee evaluation process with personalized features for managers.

How to Enable Generative AI Features in Oracle Cloud HCM

To implement these generative AI features, follow these straightforward steps:

1. Ensure System Readiness: Make sure your system is running the necessary versions (24A, 24B, 24C, 24D, or 25A) and that the Redwood application is enabled.
2. Enable AI Features: Navigate to VB Studio, where you can activate AI features by turning on specific assist flags (e.g., SHOW_AI_ASSIST). Oracle’s documentation provides detailed steps for each feature.
3. Integrate with Workflows: Integrate AI into your existing HR processes, such as aligning goal suggestions with your performance management framework and tailoring job descriptions to your recruiting strategy.
4. Test and Monitor: Test the AI features to ensure seamless integration with your systems. Monitor performance and make any necessary adjustments.
5. Train HR Teams: Ensure HR teams are fully equipped to use these features effectively. Consider providing training resources, workshops, or tutorials for optimal adoption.

Why Choose advansappz for Implementing Oracle Cloud HCM AI?

Integrating generative AI into Oracle Cloud HCM can be a complex process. advansappz, with its deep expertise in Oracle Cloud HCM and advanced technology solutions, is here to ensure your AI transition is smooth and efficient. Whether you need assistance with setup, integration, or optimization, our team will support you every step of the way.

Contact Us Today

Ready to transform your HR processes with generative AI in Oracle Cloud HCM? Contact advansappz today to learn how we can help you streamline operations, boost productivity, and enhance employee engagement. Let’s make your AI-powered HR transformation a success!

Frequently Asked Questions

1. What is generative AI in Oracle Cloud HCM?
   Generative AI in Oracle Cloud HCM uses advanced AI tools to automate tasks such as creating performance reviews, writing job descriptions, and more. It helps streamline HR processes and enhance productivity.
2. How do I enable generative AI in Oracle Cloud HCM?
   You can enable AI features by using VB Studio and turning on specific assist flags. Refer to Oracle’s documentation for detailed instructions.
3. Are there any additional costs for using generative AI in Oracle Cloud HCM?
   No, these features are included in your current Oracle Fusion Applications license.
4. Is my company’s data safe when using generative AI in Oracle Cloud HCM?
   Yes, Oracle ensures that no customer data is stored or used for training AI models. All data remains secure.
5. Which Oracle Cloud HCM modules support generative AI?
   Generative AI features are available across various modules, including Core HR, Performance Management, Talent Management, Recruiting, and Compensation. Features may vary by release version.