The diagram illustrates how an AI Agent collaborates with multiple custom applications within a business ecosystem:
- AI Agent: Acts as the central intelligence hub, processing requests and providing insights or automation to multiple custom applications.
- Custom Applications (1, 2, 3): Represent independent systems (e.g., CRM, ERP, HRMS) interacting with the AI agent to enhance functionality.
- Shared Data Storage: Serves as a centralized repository for structured data, accessible by both the AI agent and custom applications.
- External Services: Provides additional resources like cloud-based AI models or third-party APIs that the AI agent uses to process complex tasks.
- Monitoring and Logs: Ensures transparency, tracks interactions between the AI agent and custom applications, and helps in debugging and optimization.
This structure highlights the AI agent's role as an integrator and enhancer, enabling seamless communication and collaboration across multiple custom applications, ensuring efficient workflows and scalability.
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