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Agentic AI

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Empowering autonomous workflows with agents that think, act, and adapt.

1. User/Client Input (External Trigger)
  • Initiates the workflow (e.g., a user request, system event, or external API call).

  • Acts as the starting point for autonomous task generation.

2. Orchestrator / Controller
  • Manages overall workflow logic

  • Delegates tasks to the right agents.

  • Determines sequence and communication between components.

3. Agent Layer (Agent 1, Agent 2, Agent 3...)
  • Specialized agents assigned specific responsibilities.

  • Agents may be designed for:

    • Scheduling

    • Data processing

    • Communication

    • Analysis or summarization

4. Reasoning Layer / LLM
  • Handles logic, decision-making, and exception management.

  • Provides cognitive ability for agents (reasoning, inference, language understanding).

Summary: Agentic AI

It introduces a new paradigm in automation by orchestrating autonomous agents using LLMs, memory, and external tools. This layered architecture dynamically generates, executes, and adjusts workflows with minimal human intervention. It leverages orchestration engines, specialized agents, memory stores, APIs, and feedback loops to operate complex tasks autonomously.

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Agentic AI

Memory & Tool Access Layer
Feedback & Logging
Key Capabilities Enabled by Agentic AI
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4904 Kentwood Drive, Marietta, GA 30068 

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