Inhaltsangabe
Architecting Intelligent Automation: Practical Guide to AI Agent Systems and Workflow Orchestration
What’s holding your automation ambitions back? In a world where businesses demand rapid, reliable, and responsible AI, many organizations find themselves trapped by brittle workflows, tangled integrations, and systems that simply can’t adapt to change. The next step forward? Architecting modular, agent-driven solutions that can learn, adapt, and scale—without constant firefighting.
Architecting Intelligent Automation: Practical Guide to AI Agent Systems and Workflow Orchestration gives you the real-world blueprint for building robust, production-ready AI automation with confidence. This book cuts through the noise with proven frameworks, hands-on patterns, and expert commentary, arming you to design and deploy systems that truly work in practice.
Discover how to:
Construct modular agentic workflows using modern frameworks, including LangChain, LangGraph, AutoGPT, and more.
Integrate AI agents with critical enterprise platforms—APIs, CRMs, ERPs, and RPA tools—without compromising reliability or security.
Scale from prototype to production, with strategies for monitoring, observability, and seamless governance at every stage.
Leverage serverless and open-source orchestration tools to eliminate operational bottlenecks and accelerate innovation.
Implement responsible AI principles, ensuring your automations are ethical, auditable, and aligned with regulatory standards.
Optimize multi-agent collaboration, enabling human-in-the-loop handoff, guardrails, and continuous improvement.
Move beyond basic automation by mastering ticketing, customer support, and complex, cross-domain workflows.
Each chapter guides you step-by-step through architectural patterns, deployment checklists, and real enterprise case studies—so you can confidently design, build, and scale your own intelligent automation systems.
Ready to break free from old limitations and architect the intelligent workflows of tomorrow? Equip yourself with the technical insight and strategic guidance that leading engineers use to transform business with AI.
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