AI is transforming business operations, with AI agents as the latest innovation.
What Are AI Agents?
Definition: Advanced systems combining large language models (LLMs) and other technologies.
Capabilities:
- Interact with their environment and automate tasks.
- Collaborate with employees in real time.
- Make judgment calls to create action plans and manage workflows.
Learning and Adaptability:
- Learn from previous interactions and internal data.
- Collaborate with both people and other agents.
- Adapt to complex business environments, offering flexibility and scalability.
How AI Agents Work in Oracle Fusion Applications
Role in Operations: Streamline operations, improve decision-making, and reduce manual tasks.
Types of AI Agents:
Functional Agents: Serve as digital assistants for specific personas and perform domain-specific tasks.
Supervisory Agents: Oversee other agents, manage workflows, and decide when human intervention is necessary.
Utility Agents: Handle routine tasks like retrieving data, sending notifications, and running reports.
Examples: Act as finance clerks, hiring managers, or customer service reps, with options for human oversight.
Real-World Use Cases
Human Resources: Help employees with benefit inquiries and policy clarifications.
Finance: Automate invoice approvals and optimize financial workflows.
Supply Chain Management: Assist field technicians with real-time diagnostic data, troubleshooting, and automating orders for parts.
Summary
Beyond Automation: Go beyond traditional automation by collaborating with human workers.
Continuous Innovation: Oracle leads the way in integrating AI to improve productivity and operational efficiency.
Future Outlook: Expect AI agents to evolve, managing entire business processes autonomously, freeing teams to focus on strategic tasks
