Practical Salesforce Agentforce Playbook - by Lars Malmqvist (Paperback)

About the Book

Learn how to architect, build, test, and deploy autonomous AI agents on Salesforce using Agentforce, Data Cloud, the Atlas Reasoning Engine, and the Einstein Trust Layer through real-world examples and proven implementation patterns.

Book Synopsis

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 Description:

Agentforce is Salesforce's 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, you'll design and run robust Agentforce solutions that automate complex workflows and deliver measurable business value.

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What 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 for:

This book is for Salesforce developers, architects, and advanced admins looking to build and operate autonomous AI agents with Agentforce. You'll benefit most if you're 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