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

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

1. Understanding Agentforce Architecture
2. Setting Up Your Agentforce Environment
3. Building with Agent Builder
4. Creating a Room Booking Agent
5. Testing and Debugging Agents
6. Implementing Business Logic with Flow and Apex
7. Establishing Data Foundations with Data Cloud
8. Securing Your Agentforce Implementation
9. Deploying Agents with DevOps Best Practices
10. Monitoring Performance and Managing Costs
11. 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.