Introduction
Agentforce represents the Third Wave of AI—advancing beyond copilots to a new era of highly accurate, low-hallucination intelligent agents that actively drive customer success. Unlike other platforms, Agentforce is a revolutionary, trusted solution that seamlessly integrates AI into every workflow, embedding itself deeply at the core of the customer journey. This means anticipating needs, strengthening relationships, driving growth, and taking proactive action at every touchpoint,” said Marc Benioff, Chair and CEO of Salesforce. “While others require you to DIY your AI, Agentforce offers a fully tailored, enterprise-ready platform designed for immediate impact and scalability, with advanced security features, compliance with industry standards, and unmatched flexibility. Our vision is bold: to empower one billion agents with Agentforce by the end of 2025. This is what AI is meant to be.

What is Agentforce?
Salesforce Agentforce is a comprehensive platform that enables organizations to build, customize, and deploy autonomous AI agents for various business functions, including service, sales, marketing, and commerce. Unlike traditional chatbots or copilots, Agentforce agents can operate independently, retrieving relevant data, creating action plans, and executing tasks without constant human intervention.
Key Features of Agentforce
- Autonomous Operation within Customized Guardrails
- Real-time Data Adaptation
- Seamless Integration with Human Employees
- Low-code Tools for Easy Customization and Deployment
The Technology Behind Agentforce
1. Salesforce Platform Innovation
- Data Cloud: Unifies and harmonizes customer data across systems in real-time, providing complete context for Agentforce to operate.
- Atlas Reasoning Engine: The “brain” behind Agentforce, simulating human thinking and planning processes.
- Automation Integration: Seamlessly works with existing Salesforce automation tools like Flow, MuleSoft, and Apex.
Deep Dive: Atlas Reasoning Engine
The Atlas Reasoning Engine is a proprietary system that simulates how humans think and plan. Here’s a more detailed look at how it works:
- Query Evaluation: Atlas starts by evaluating user queries, refining them for clarity and relevance.
- Data Retrieval: It then retrieves the most relevant data from various sources.
- Plan Building: Using the retrieved data, Atlas builds an execution plan.
- Plan Refinement: The process further refines the plan, ensuring it’s accurate, relevant, and grounded in trusted data.
- Autonomous Execution: This reasoning process allows Agentforce to autonomously reason, make decisions, and complete business tasks.
The result is precise, factually accurate outcomes that can be trusted to drive business processes forward.
2. Out-of-the-Box Agents
Agentforce offers several pre-built agents that can be quickly customized and deployed:
- Service Agent
- Sales Development Representative (SDR)
- Sales Coach
- Merchant
- Buyer
- Personal Shopper
- Campaign Optimizer
- Agentforce (formerly Einstein Copilot)
3. Customization and Deployment Tools
- Agent Builder: A low-code tool for customizing existing agents or building new ones.
- Model Builder: Allows for the registration, testing, and activation of custom AI models and LLMs.
- Prompt Builder: Enables customization of prompt templates using CRM or Data Cloud data.
Deep Dive: Agent Builder
Agent Builder is a powerful low-code tool that simplifies the customization of out-of-the-box agents or the creation of entirely new agents for any role, industry, or use case. Here’s what you can do with Agent Builder:
- Define Jobs: Create jobs for your agent by defining topics and writing natural language instructions within those topics.
- Create Action Libraries: Build a library of actions for your agent, using existing tools like Flows, Prompts, Apex, and MuleSoft APIs.
- Observe and Test: Easily observe an agent’s plan of action and test their responses directly within Agent Builder.
- Integrate Partner Actions: Leverage specialized actions from the Agentforce Partner Network to enhance your agents’ capabilities.
Agent Builder democratizes the creation of AI agents, allowing organizations to rapidly deploy custom AI solutions without extensive coding or AI expertise.
4. Agentforce Partner Network
A group of leading partners, including Amazon Web Services, Google, IBM, Workday, and others, have built over 20 agents and agent actions available through the Salesforce AppExchange.
Agentforce Benefits and Impact
- Increased Efficiency: Handles routine tasks, freeing human employees for more complex work.
- 24/7 Availability: Operates around the clock across multiple channels.
- Scalability: Allows companies to scale their workforce on demand.
- Improved Customer Satisfaction: Provides quick, accurate responses and personalized experiences.
The 5 Attributes of an Agent

Early Adopters and Results
Several industry leaders are already experiencing the benefits of Agentforce:
- Wiley: Saw a 40% increase in case resolution during their busy back-to-school season.
- OpenTable: Leveraging Agentforce to deliver high-touch attentiveness and support for restaurants and diners.
- Saks: Exploring Agentforce to enhance personalization and elevate luxury retail experiences.
Availability and Pricing
- Agentforce for Service and Sales will be generally available on October 25, 2024.
- Some components of the Atlas Reasoning Engine will launch in February 2025.
- Pricing starts at $2 per conversation, with standard volume discounts available.
The Future of AI and Work
Salesforce’s vision is to empower one billion agents with Agentforce by the end of 2025. This ambitious goal reflects the company’s belief that the future of work involves a hybrid workforce of humans and AI agents working together to drive customer success.
Agentforce vs. Einstein Bots: Key Differences
Feature | AgentForce | Einstein Chatbots |
Autonomy | Highly autonomous, can make decisions and take actions independently | Relies on pre-programmed flows and human intervention for complex tasks |
Intelligence | Uses advanced AI with the Atlas Reasoning Engine for complex problem-solving | Uses simpler AI models for pattern matching and predefined responses |
Data Handling | Can access and analyze data from multiple sources in real-time | Limited to predefined data sets and integrations |
Task Complexity | Can handle multi-step, complex tasks across different domains | Best suited for simple, repetitive tasks within a specific domain |
Customization | Highly customizable with low-code Agent Builder | Customizable through bot building interface, but more limited in scope |
Learning Capability | Can adapt and improve performance based on interactions and outcomes | Limited learning capabilities, requires manual updates |
Integration | Deeply integrated with the Salesforce ecosystem and third-party systems via Agentforce Partner Network | Integrated with Salesforce, but more limited third-party integrations |
Use Cases | Suitable for a wide range of complex business processes across departments | Primarily focused on customer service and simple information retrieval |
Natural Language Processing | Advanced NLP for understanding context and intent in various languages | Basic NLP for keyword matching and simple intent recognition |
Scalability | Highly scalable, can handle multiple complex tasks simultaneously | Scalable for handling multiple simple conversations |
Agentforce for Developers
We are thrilled to announce that Agentforce for Developers, formerly known as Einstein for Developers, is now generally available! This evolution reflects our vision for the product: initially designed to enhance developer productivity through assistive capabilities, and to integrate more advanced automation features in the future. With generative AI capabilities, Agentforce reduces the time developers spend on routine, boilerplate tasks, allowing them to focus on more complex and creative work. This marks a major milestone in Salesforce’s mission to accelerate innovation and deliver intelligent experiences at every stage of the development lifecycle.
Agentforce for Developers is a suite of AI-powered tools that help developers write Salesforce-specific code, like Apex and LWC. Whether you’re building custom actions or applications, or optimizing existing code, Agentforce for Developers enables you to quickly and safely generate high-quality code that follows best practices. Powered by Salesforce’s own large language models (LLMs), Agentforce simplifies complex development tasks, automates tedious work, and guides developers through the process of building applications and agents faster than ever.
How Agentforce for Developers Works
Agentforce for Developers harnesses the power of Salesforce AI Research’s proprietary large language models, including CodeGen2.5 and xGen-Code. Launched in 2023, CodeGen2.5 is a compact model designed for features like ‘code completion,’ enhancing coding precision and efficiency. Building on this foundation, Salesforce AI Research has introduced xGen-Code, a robust model tailored for Salesforce developers, excelling in tasks that blend natural language processing (NLP) with programming capabilities. xGen-Code powers the latest feature, Dev Assistant, known for handling complex, multi-turn interactions and dynamic chat functionalities, setting a new standard in both open and closed-source model performance. Importantly, these trusted models ensure that no customer code or content is used for model training. By leveraging in-house LLMs, we deliver a secure, easy-to-use, and highly customizable experience within the Agentforce for Developers platform. This approach keeps all customer data within the trusted company boundary, eliminating the need for third-party LLMs, and reinforcing both privacy and security.
What we can do with Agentforce for Developers
Engage in Multi-turn Chat with Dev Assistant
Introducing Dev Assistant, a new feature in Agentforce for Developers. This conversational AI coding assistant is built specifically for Salesforce developers. It assists with tasks like writing new code, explaining existing code, generating test cases, creating documentation, and more.
To engage with Dev Assistant, click the Einstein icon in the Visual Studio Code Activity Bar. Once activated, it leverages Retrieval Augmented Generation (RAG) techniques, which enhance the relevance of responses by considering the current schema and metadata from the local project. This ensures that the tailored code suggestions you receive are not only aligned with your immediate coding needs but are also contextually relevant to your Salesforce org.
You can frame your queries using slash commands — preconfigured prompt templates — or rely on natural language. After receiving a suggestion, you can continue the dialogue with Einstein to refine responses, applying effective prompt-writing techniques to ensure the results meet your specific requirements.
- Use the /explain command to explain the code in the active editor.
- Use /test to generate a test case.
- Use /document to create documentation for the specified code block, following the default documentation style for the current file’s programming language.
For example, you can ask Dev Assistant to modify existing code by adding a few more fields to a component.

Generate Apex Code Using Natural Language Prompts
You can also ask Dev Assistant to write code. For instance, you can request it to create an Apex class called ExperienceController with a new method getExperiences, and add logic to query records with a filter.

Explain Code
Dev Assistant can explain code for you. The /explain command provides detailed explanations of the code in the editor.

Generate Tests
You can ask Dev Assistant to generate Apex tests. Highlight a method, and it can create a test scenario for that specific method using the /test command.

Write Documentation
Dev Assistant helps document your code to improve maintainability. The /document command generates documentation in line with the programming language’s default style.

Inline Code Autocomplete
With inline autocomplete for Apex and LWC, you’ll see AI-powered code suggestions directly within your editor.

How to get Start with Agentforce for Developers
Getting started with Agentforce for Developers is simple. Install Einstein for Developers in VSCode for Desktop or within our web IDE, Code Builder. It’s a two-step process: Agentforce for Developers is offered as an extension within Visual Studio Code and Code Builder through the Salesforce Extension Pack (Expanded).
Navigate to the Extensions menu in the Activity Bar of your VSCode or Code Builder, find the Salesforce Extension Pack (Expanded), and install it.
Please note that the name change will be reflected in the product and developer documentation as soon as possible, but you may still see ‘Einstein for Developers’ in the meantime.

Important Considerations
To keep your data secure, customer data or code is not used to train the models. We ensure that your code stays within Salesforce’s environment, providing a trusted experience. Additionally, sensitive information is masked, and toxicity checks are performed before responses are generated.
We recommend having a code review process for all AI-generated code to ensure accuracy, security, and scalability. Further fine-tuning will be done to support LWC and general Salesforce Q&A. Check out our public roadmap to stay up to date with the latest features and improvements.
Resources
- Explore in-depth details on Agentforce for Developers’ features and innovations in our documentation, and check out our public roadmap for what’s next
- For any feedback or issues, visit our issues repository
Summary
Agentforce represents a significant leap forward in AI-powered customer engagement. By providing autonomous, intelligent agents that can handle complex tasks across various business functions, Salesforce is positioning itself at the forefront of the AI revolution in customer relationship management. As businesses continue to seek ways to improve efficiency and customer satisfaction, Agentforce may well become a game-changer in how organizations interact with their customers and manage their operations. Salesforce Agentforce is the Next Evolution in AI-Powered Customer Engagement.
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