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Practical Salesforce Agentforce Playbook: Design, build, and deploy enterprise-grade AI agents with Salesforce Agentforce and Data Cloud [Pehme köide]

  • Formaat: Paperback / softback, 298 pages, kõrgus x laius: 235x191 mm
  • Ilmumisaeg: 24-Apr-2026
  • Kirjastus: Packt Publishing Limited
  • ISBN-10: 1806389231
  • ISBN-13: 9781806389230
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  • Hind: 53,19 €
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  • Formaat: Paperback / softback, 298 pages, kõrgus x laius: 235x191 mm
  • Ilmumisaeg: 24-Apr-2026
  • Kirjastus: Packt Publishing Limited
  • ISBN-10: 1806389231
  • ISBN-13: 9781806389230
Build production-ready AI agents on Salesforce Agentforce with Atlas Reasoning Engine, Data Cloud, Flow, and Apex Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

Build intelligent, autonomous AI agents with the Agent Builder and the Atlas Reasoning Engine Extend agents with Apex, Flow, and secure integrations across Data Cloud Deploy, monitor, and optimize agents at scale with DevOps and Agent Analytics

Book DescriptionAgentforce is Salesforces next-generation framework for building autonomous AI agents that act intelligently on behalf of users. This book is your practical guide to leveraging Agentforce to create enterprise-grade agents that reason, plan, and execute across clouds. You'll begin by mastering core concepts, agent types, the Atlas Reasoning Engine, and the Einstein Trust Layer, before setting up your development environment and using Agent Builder to create your first agents. A full case study walks you through building a production-grade room booking agent, preparing you for more advanced implementations. In later chapters, you'll extend agents with Flow and Apex, build real-time intelligence using Data Cloud and semantic search, and secure your implementations. You'll then adopt DevOps practices to manage deployments, use the Command Center for performance insights, and integrate Agentforce across your enterprise landscape using MuleSoft and external services. By the end, youll design and run robust Agentforce solutions that automate complex workflows and deliver measurable business value. *Email sign-up and proof of purchase requiredWhat you will learn

Design AI agents using Agentforce Topics, Actions, and Instructions Build agent-ready data foundations with Data Cloud and semantic search Extend agent logic using Flow, Apex, and asynchronous processing Secure agent operations with the Einstein Trust Layer and audit controls Test, debug, and trace agent reasoning using professional tooling Automate deployment pipelines using AgentforceDX and CI/CD tools Monitor agent performance and optimize Flex Credit consumption Integrate Agentforce with MuleSoft and external enterprise systems

Who this book is forThis book is for Salesforce developers, architects, and advanced admins looking to build and operate autonomous AI agents with Agentforce. Youll benefit most if youre comfortable with the Salesforce platform, low-code tools, and have some awareness of Apex and DevOps workflows. Consultants, SI partners, and enterprise AI practitioners will also find practical patterns for scaling intelligent automation.
Table of Contents

Understanding Agentforce Architecture
Setting Up Your Agentforce Environment
Building with Agent Builder
Creating a Room Booking Agent
Testing and Debugging Agents
Implementing Business Logic with Flow and Apex 
Establishing Data Foundations with Data Cloud
Securing Your Agentforce Implementation
Deploying Agents with DevOps Best Practices
Monitoring Performance and Managing Costs
Integrating Agentforce Across Your Enterprise
Lars Malmqvist has spent the past 16 years working as an architect and CTO within the Salesforce ecosystem. He is a 33-time certified Salesforce professional and Certified Technical Architect with degrees in anthropology, mathematics, and technology management, an MBA from the University of Cambridge, and a Ph.D. He currently works as a partner at Implement Consulting Group, focusing on supporting large Nordic Salesforce clients in their transformation journeys. For the past five years, he has been focused on issues around using AI on Salesforce, combining this with academic research in deep learning and argumentation. He has previously published Salesforce Anti-Patterns (two editions), Architecting AI Solutions on Salesforce, and Salesforce DevOps for Architects (co-authored), all with Packt Publishing. He is also a regular contributor to various Salesforce Blogs.