Article
AI agents in action: Transforming business with Oracle Fusion AI Studio
June 13, 2025 · Authored by Daniel Jensen
Enterprises implementing artificial intelligence (AI) must choose between two paths: implementing AI as a strategic foundation for future growth or settling for fragmented solutions that merely scratch the surface of AI’s potential. The difference between thriving and merely surviving in this era lies in how AI is implemented. AI in an enterprise setting usually includes systems that leverage machine learning, natural language processing and automated decision-making to enhance business processes at scale.
AI agents and their business value
One of the notable evolutions of enterprise AI is AI agents. These intelligent agents are autonomous software entities that can perceive their environment, complete tasks and make decisions on behalf of a user or another system. AI agents go beyond simple automation and can understand context, learn from interactions and adapt their behavior based on changing conditions. These agents utilize large language models (LLMs). LLMs are powerful neural networks trained on vast datasets to understand and generate human-like text, enabling more intuitive interactions between humans and enterprise systems. Retrieval augmented generation (RAG) technology further enhances these capabilities by combining LLMs with real-time access to relevant enterprise data. This approach helps agents to provide contextually accurate responses based on current information rather than relying solely on pre-trained knowledge. The result is AI that doesn’t just sound intelligent but acts intelligently based on your specific business reality. Organizations that successfully implement AI agents often discover transformative benefits:
- Process automation: Automate complex, multi-step business processes that required human intervention
- Cost reduction: Reduce operational costs by eliminating manual tasks and streamlining workflows
- Speed acceleration: Dramatically reduce process completion times compared to manual operations
- Better decision making: Unlike simple chatbots, AI agents can reason, make decisions and execute tasks autonomously