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1、 AGENTIC AI ORCHESTRATION 2 AGENTIC AI ORCHESTRATION Agentic AI Orchestration The Next Evolution of Intelligent Automation Agentic AI Orchestration:The Next Evolution of Intelligent Automation.1 1|Executive summary.3 2|Introduction:From monolithic AI to agentic AI.4 2.1 Market momentum(“Why now?”).4

2、 2.2 Definition of agentic AI orchestration.5 2.3 How agentic AI differs from RPA,microservices,traditional AI pipelines.6 3|Conceptual foundations.7 3.1 Agent theory and multiagent systems basics.7 3.2 Orchestrationvscoordinationvschoreography.8 4|Agentic orchestration architecture.10 4.1 Core buil

3、ding blocks(agents,orchestrator/controller,shared memory,tool layer,evaluation loop).10 4.2 Security and governance overlay.11 4.3 Deployment topologies(cloud,edge,hybrid).12 5|Agentic AI technologies.14 5.1 Reasoning models(advanced orchestration LLMs).14 5.2 Workhorse models(standard task-oriented

4、 LLMs).15 5.3 Agent building frameworks(LangChain,CrewAI).16 5.4 Agentic development platforms(Azure AI Studio,Google Vertex Agents,Hugging Face AutoTrain).17 5.5 Key capabilities of agentic AI(autonomy,tool use,memory,reflection).19 6|Design and development lifecycle.20 6.1 Businessvalue discovery.

5、20 6.2 Agent role definition and behavior design.21 6.3 Prompt/tool specification guardrailing.21 6.4 MVP development.21 6.5 Evaluation.22 6.6 CI/CD and MLOps for agents.22 3 AGENTIC AI ORCHESTRATION 7|Governance,Risk and Compliance(GRC).23 7.1 Responsible AI guardrails(bias,fairness,safety).24 7.2

6、Data privacy and sovereignty.24 7.3 Auditability,logging and explainability.24 8|Agentic use cases.25 8.1 Knowledge management and research assistants.25 8.2 Customer service swarms.25 8.3 Decision-support agents.26 8.4 Application development(vibe coding).27 8.5 AI Content generation.28 8.6 Orchest