Agentic AI for Oracle Fusion Cloud

2024 was the year organisations explored use cases for generative artificial intelligence (GenAI), testing its capabilities and identifying areas where it could add value, whereas 2025 will be defined by the shift towards agentic AI: autonomous, goal-driven systems capable of executing complex tasks with minimal human intervention. This transition marks a major evolution in enterprise AI, moving from passive assistance to active decision-making and execution.

For enterprise leaders, this shift presents an opportunity to leverage a modern cloud platform, and if implemented successfully by a team equipped with industry and process expertise, this AI-powered cloud platform can drive significant cost reductions, provide better insights, and drive business growth. Worldwide, the pace of AI adoption remains high. As PwC analysis shows, one-third of CEOs say GenAI has increased revenue and profitability over the past year, and half expect their investments in the technology to increase profits in the year ahead.

What is agentic AI and why does it matter?

Unlike traditional AI models that rely on predefined prompts and static data, agentic AI takes action. These intelligent agents do not just analyse information; they plan, execute, and iterate - making decisions dynamically based on real-time data and user goals.

For example, in Human Capital Management (HCM), AI-driven workforce planning agents can analyse historical employee data, predict hiring needs, and automate recruitment workflows. These agents can also assist in employee engagement by monitoring sentiment analysis from internal surveys and providing recommendations for improving workplace satisfaction and retention. According to the same PwC survey, more than half (56%) of CEOs interviewed said that GenAI has resulted in efficiencies in how employees use their time.

In Finance, imagine an AI-powered assistant that does not just generate reports but proactively identifies discrepancies, adjusts forecasts, and optimises financial planning. About half of CEOs (49%) expect GenAI to increase the profitability of their company over the next 12 months. These figures are consistent with other PwC research among executivesOpens in a new window, employees and investors. In PwC’s Global Workforce Hopes and Fears Survey 2024, 62% of employees said they expected GenAI to increase their efficiency at work over the next 12 months. Another study conducted by PwC amongst global investors showed that two-thirds of investors and analysts expect the companies in which they invest to achieve productivity gains from GenAI in the year ahead.

This new wave of AI technology represents a fundamental shift in enterprise operations, moving beyond automation to intelligent decision-making that continuously refines itself based on contextual inputs.

ERP next steps: how to progress

A modern cloud platform is the foundation of an efficient back-office function, whether in Finance or HR. Oracle Fusion Cloud Enterprise Resource Planning (ERP)Opens in a new window is one of the leading enterprise solutions that enables organisations to integrate AI-driven automation seamlessly. Having a modern ERP is no longer optional; it is essential to unlocking the full potential of agentic AI.

Oracle is leading the way in bringing agentic AI to enterprise applications, embedding AI-driven automation across HCM and ERP systems. With a growing number of AI agents already available, Oracle continues to expand its capabilities, releasing new AI-driven innovations as part of their regular quarterly maintenance and patching cycles. This ensures that customers always have access to the latest advancements without disruption to their existing operations.

Key differentiators:

• No premium pricing: AI features are included in the regular SaaS subscription without additional costs, making AI accessible to all Oracle ERP users
• Unified platform: Oracle's AI offerings are built on a single, integrated platform, ensuring consistency and ease of integration across enterprise applications
• Dedicated cloud regions: Oracle provides dedicated cloud regions for customers, ensuring low latency and high performance for AI applications

If you are an existing Oracle ERP user, the next step is to unlock and activate the power of AI agents. In particular, for Oracle Human Capital Management (HCM)Opens in a new window, AI can automate key processes such as recruitment, workforce planning, and employee engagement. Additionally, AI features in recruitment can lead to significant improvement in time to hire. AI-driven assistants can analyse workforce trends, predict attrition risks, and recommend personalised career development opportunities, ultimately improving employee satisfaction and retention.

PwC can guide you through this journey, helping you leverage AI to enhance efficiency, automate processes, and gain deeper business insights.

If your organisation has not yet transitioned to a modern cloud-based ERP system, now is the time to consider Oracle ERP. With its AI-driven capabilities and seamless integration with business processes, Oracle ERP provides a comprehensive foundation for digital transformation. PwC’s industry and process excellence ensures that organisations can modernise their back-office operations and take full advantage of agentic AI to drive long-term business success.

How to get agentic AI ready

Organisations looking to take the next step should consider the following:

• Assess your readiness: Evaluate existing processes and technology infrastructure to identify opportunities where agentic AI can drive efficiency and innovation. If your organisation has not yet moved to a modern ERP system, consider transitioning to a cloud-based ERP like Oracle ERP to establish a strong foundation for AI-driven automation
• Define high impact use cases: Focus on areas where AI can provide immediate benefits and quickly impact your bottom line, such as Finance, Procurement, and Supply Chain
• Leverage expert guidance: PwC can help you assess your company’s readiness wherever you are on this journey, from design to implementation, to embrace AI-driven processes that align with your business goals and are fit for purpose
• Pilot and scale: Start with a targeted AI pilot to test feasibility before rolling out enterprise-wide solutions
• Aim for continuous optimisation: Establish a managed services framework to monitor AI performance and ensure ongoing improvements

By following this structured approach, organisations can fully leverage agentic AI to drive operational excellence, enhance decision-making, and maintain a competitive edge in 2025 and beyond. 

PwC agentic AI use cases for Oracle Fusion Cloud 

Oracle delivers AI agents built for business, helping you make better decisions faster and empowering your workforce to do more. PwC is at the forefront of this evolution, building agentic frameworks that can help transform workflows and decision-making across the enterprise. Our team of solution architects works with clients to develop solutions and services designed to address specific business problems or opportunities that drive measurable business value for enterprise leaders.

Unlike generic AI solutions, PwC’s industry-focused methodologies allow us to implement tools that align with unique operational demands, helping businesses unlock efficiencies and achieve targeted outcomes.

Discover how PwC is unlocking the potential of the core Oracle offering and helping organizations accelerate benefits in Procurement, Payables, Supply Chain, Customer Experience, etc. By using AI technology embedded in Oracle Fusion Cloud applications and extending them with custom AI solutions, PwC brings together real industry use cases that showcase AI’s transformative potential.

Visit our websiteOpens in a new window to learn more about our AI capabilities and contact us to discuss how PwC and Oracle can support your AI transformation journey and help your enterprise accelerate breakthrough performance.