Agentic AI for Salesforce Enterprises
Building Intelligent Systems with Agentforce, MCP, and Multi-Agent Architecture
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Beschreibung
Enterprise software is undergoing a fundamental shift with the rise of agentic AI systems that can reason, act, and collaborate to solve complex business problems. This book provides a comprehensive, practitioner-focused guide to understanding and implementing Agentforce, starting with the foundations of agentic AI and progressing into a deep dive on architecture, protocols, and production-ready design. From building your first enterprise-grade agent to integrating external frameworks and leveraging the Model Context Protocol, the book equips you with the knowledge needed to move beyond experimentation and into real-world deployment.
As the book advances, the focus shifts to scaling and operationalizing agentic systems through multi-agent orchestration patterns, robust data architecture, and effective prompt and instruction design. The book also emphasizes critical enterprise concerns such as testing, monitoring, observability, security, and governance, ensuring that these systems are not only functional but reliable, secure, and aligned with organizational standards. By the end of this book, you will have a clear roadmap for designing, building, and managing agent-driven applications within enterprise ecosystems.
Unlike guides that assume Agentforce licensing, this book works with or without it — covering native, open-source, and hybrid paths across the full stack: Agentforce, MCP, the Agent2Agent (A2A) protocol, and external frameworks like LangChain and CrewAI. Whichever path your enterprise takes, you will finish with agents that clear the blockers that stall most AI initiatives: security, governance, and compliance, from SOX to GDPR to HIPAA.
Unlike guides that assume Agentforce licensing, this book works with or without it—covering native, open-source, and hybrid paths across the full stack: Agentforce, MCP, the Agent2Agent (A2A) protocol, and external frameworks such as LangChain and CrewAI. Whichever path your enterprise takes, you will finish with agents that clear the blockers that stall most AI initiatives: security, governance, and compliance, from SOX to GDPR to HIPAA.
What You Will Learn
Design and build production-ready AI agents using Agentforce and enterprise architecture principles
Implement multi-agent systems, integrate external frameworks, and structure effective prompts for reliable outcomes
Apply best practices for testing, observability, security, and governance in enterprise-grade agentic systems
Enterprise software is undergoing a fundamental shift with the rise of agentic AI systems that can reason, act, and collaborate to solve complex business problems. This book provides a comprehensive, practitioner-focused guide to understanding and implementing Agentforce, starting with the foundations of agentic AI and progressing into a deep dive on architecture, protocols, and production-ready design. From building your first enterprise-grade agent to integrating external frameworks and leveraging the Model Context Protocol, the book equips you with the knowledge needed to move beyond experimentation and into real-world deployment.
As the book advances, the focus shifts to scaling and operationalizing agentic systems through multi-agent orchestration patterns, robust data architecture, and effective prompt and instruction design. The book also emphasizes critical enterprise concerns such as testing, monitoring, observability, security, and governance, ensuring that these systems are not only functional but reliable, secure, and aligned with organizational standards. By the end of this book, you will have a clear roadmap for designing, building, and managing agent-driven applications within enterprise ecosystems.
Unlike guides that assume Agentforce licensing, this book works with or without it—covering native, open-source, and hybrid paths across the full stack: Agentforce, MCP, the Agent2Agent (A2A) protocol, and external frameworks such as LangChain and CrewAI. Whichever path your enterprise takes, you will finish with agents that clear the blockers that stall most AI initiatives: security, governance, and compliance, from SOX to GDPR to HIPAA.
What You Will Learn:- Design and build production-ready AI agents using Agentforce and enterprise architecture principles
- Implement multi-agent systems, integrate external frameworks, and structure effective prompts for reliable outcomes
- Apply best practices for testing, observability, security, and governance in enterprise-grade agentic systems
Who This Book Is For:
Salesforce Technical Architects designing enterprise AI solutions across complex, multi-cloud environments
Works with or without Agentforce licensing, and is the first book covering native, open-source, and hybrid paths Covers the full agentic stack: Agentforce, MCP, A2A, and open-source frameworks Tackles the top enterprise blockers for AI agents, such as security, governance, and compliance (SOX, GDPR, HIPAA)
Autor*in
Himanshu Palerwal
Themen in »Agentic AI for Salesforce Enterprises«
Agentic AI for Salesforce Multi-Agent Architecture Salesforce AI Agent Governance Enterprise Open Source AI Agents Salesforce Salesforce Enterprise Architecture AI LangChain Salesforce Integration Model Context Protocol MCP Salesforce Agentforce MCP Server Development