Agentforce Updates & Release Notes

Bring the power of assistive and autonomous AI to your business with Agentforce.

Apply Agentforce Coworker's Personal Context to Grid Worksheet Rows

Turn a list of Salesforce records into a repeatable Agentforce Coworker workflow. Add Agent from the Add Column menu and describe the work you want done, such as “prepare these accounts for tomorrow’s meetings.” Agentforce Coworker reviews your relevant context, including account relationships, calendar information, and upcoming meetings. It then applies the instruction across your worksheet and writes a tailored result for each record, so you can review, compare, and act on the complete set in one place.

Read Agent Column Outputs as Formatted Text in Grid

The output preview for Agent columns in Agentforce Grid shows formatted text instead of raw JSON, so results are easier to read at a glance. A JSON tab is still available in the preview for cases where you want to inspect the raw output. Previously, Agent column previews showed raw JSON by default, requiring manual parsing to understand the results.

Evaluate Entire Conversations for Voice and Chat Agents with Testing Center in Agentforce Studio (Beta)

Simulate and score full multi-turn conversations at scale to validate that your voice and chat agents resolve customer issues end-to-end. Generate up to 20 cases or upload up to 1,000 test cases, run them against realistic customer personas, and get scored results with transcripts and audio recordings.

Deploy Agentforce Voice in Japanese in Your Production Environment

Deploy Agentforce Voice in Japanese, now generally available for production environments. Set Japanese as your agent's default language and use a verified Japanese voice to serve customers on live calls.

Analyze Sessions with Percentile Latency, Feedback, and Connected-Agent Data

Pinpoint performance issues with percentile latency metrics and connected-agent insights, and understand the usage, knowledge sources, and feedback associated with each session. Reusable views, simplified evaluation workflows, and customizable analytics make it easier to investigate sessions and improve agent performance.

Write Precise Agent-Level Instructions in Canvas View

Spend less time writing agent-level instructions with a dedicated page in Canvas view. You can also add variables to agent-level instructions and format them with Markdown.

Understand an Agent at a Glance with an Agent Summary

Quickly review a new agent or confirm that an agent is set up the way you intended before you activate it. Agentforce Builder now generates and shows a visual summary of the agent and its subagents on the first page in Canvas view.

Organize Instructions with Markdown in Canvas View

Easily read and write your agent's instructions with Markdown in Canvas view. Use Markdown syntax or keyboard shortcuts to add formatting to instructions, such as headers, bold, italic, numbered and bulleted lists, and horizontal dividers. Previously, Markdown appeared as plain text in Canvas view.

Adapt Your Agent's Responses to the User's Language (Beta)

Set up your agent faster and give your users a more natural conversational experience. When you turn on adaptive language mode, your agent detects the language of each incoming message and responds in the same language. Your agent can use any language its AI model supports, including languages that aren't in the Allowed Languages list.

Register and Manage MCP Servers with Headless Tools

Deliver Headless 360 solutions with Model Context Protocol (MCP) for Agentforce using your preferred headless development tools and frameworks. Register external MCP servers and manage their allowlisted assets. Amplify your development workflows with an available MCP for Agentforce skill.

Proactively Monitor Agent Health

Agent Health Monitoring detects silent agent failures—like spiking error rates or high latency—in near real-time across your AI agents. Create alerts for standard or custom metrics, then get notified when thresholds are breached. Use session traces to debug conversation flows and identify root causes. Address issues quickly so you can mitigate customer impact.

Greet Users with a Chat Invitation in Enhanced Chat v2

Invite users to start a chat with a service rep or AI agent in Enhanced Chat v2. You can use the default invitation or create one with custom text, rules, conditions, and branding on the Embedded Service Deployments Settings Setup page.

Make Voice Conversations More Engaging in Enhanced Chat v2

Give your users more ways to interact with an agent during a voice conversation in Enhanced Chat v2. A transcript now appears in the chat as your customer and the agent speak, so users can switch between talking and messaging without losing the thread. Users can also minimize the chat window and continue speaking with the agent.

Deploy Agents to Enhanced Chat v2 Faster in Agentforce Builder

Spend less time setting up Enhanced Chat v2 deployments with the latest improvements in Agentforce Builder. Now, when you create a channel from the Enhanced Chat v2 Settings page, Agentforce creates an embedded service deployment for you. You can also easily add more deployments to a channel from the Enhanced Chat Channels table.

Spend Less Time Diagnosing Agent Errors with More Actionable Error Messages

During preview conversations, Agentforce Builder shows more detailed error messages for some platform services, replacing errors that were silent or difficult to diagnose. When a service encounters a problem during a preview conversation, you can open the Trace tab to see what went wrong. All error messages include a link to documentation covering possible causes, troubleshooting steps, and guidance on when to contact Salesforce Customer Support. This change doesn't affect end user-facing error messages.

Take the Guesswork out of Agent Building with Improved AI Assistance (Beta)

We’ve upgraded the embedded AI assistant in Agentforce Builder, so you can focus on what your agent should do instead of how to build it. It asks more targeted follow-up questions to understand your intent and shape a plan, then proposes and explains changes before applying them. When it makes changes, you can trust it to generate valid Agent Script. And when you use it for troubleshooting, it more accurately diagnoses issues and proposes more effective solutions.

Get Always-On Insights with Agent Observability

For new Salesforce orgs only, turning on Agentforce automatically turns on agent observability features by default. Data collection starts for Agentforce Session Tracing, Audit and Feedback, and related features. The observability user experience is available in Agent Analytics and Agentforce Studio.

Enhanced Logging for Agent Sessions

Introducing AiAgentSessionLog, a comprehensive logging data model that captures all notable events emitted during AI agent sessions. AiAgentSessionLog provides a unified way to track informational, warning, debug, and error-level events across your AI solutions. Analyze run-time behavior, troubleshoot failures, and trace issues across single-agent and multi-agent flows.

Let Callers Key In Numbers Instead of Speaking Them

Agentforce Voice now supports keypad input on phone calls. Instead of saying an order number or account number aloud, callers enter it on their phone keypad, which is faster, more accurate, and more private. Callers press the pound key (#) to finish, or the input completes automatically after a short pause.

Access Agentforce Grid from Agentforce Studio

Agentforce Grid now has a second entry point inside the Agentforce Studio app, so you can find it right alongside the Testing Center and your other Agentforce building tools. Just select Grids from the tools panel. The original App Launcher entry point for Agentforce Grid still works, too.

Learn Agentforce Grid Basics Right from the All Grids Page

The All Grids page now surfaces Trailhead, Help, and Claude links so you always know where to go for help with getting started. Agentforce Grid gives you an open canvas for building AI-powered workflows, but an empty worksheet doesn't tell you what's possible. Now, a welcome section on the All Grids page offers getting-started resources every time you visit, so you can learn the basics before you start building.

Assess Security Risk Scores for Third-Party MCP Servers

Check the risk score of third-party Model Context Protocol (MCP) servers during registration. Agentforce Registry conducts an automatic security scan that returns a Low, Medium, or High risk score. Use the risk score as a risk indicator of MCP servers.

Customize Conversation Recommendations in Agentforce Builder

You can now customize conversation recommendations for Agentforce Employee agents in Canvas view, in addition to Script view. Conversation recommendations refer to both welcome recommendations, which appear on the welcome screen when the Agentforce panel opens, and recommendations that the agent suggests during a conversation. Use them to guide employees to your most relevant and frequently used actions.

Refine Web Search Results by Using Excluded Domains

Exclude up to 10 domains from Search the Web agent action results to ensure your agents retrieve relevant information. Excluded domains are configured per action and apply regardless of the selected search provider.

Gain Agent Observability Insights Without Consuming Data 360 Credits

Gain comprehensive agent monitoring and insights with Agent Analytics and related tools—without credit consumption overhead. For agent observability features, data collection, metrics calculations, queries, reports, and dashboards no longer consume Data 360 credits.

Agentforce Platform Enabled by Default Starting August 2026

In August 2026, we plan to turn on the Agentforce platform for all orgs with Agentforce access. New orgs will be enabled by default. We’ll remove the Agentforce toggle from the Agentforce Agents page in Setup, so you can build, test, and deploy agents with one less step. The platform is provisioned at no additional cost and there are no changes to billing.

Cover More Cases in a Condition with Else If Branches

Guide your agent down unique paths for different cases in a single condition. Previously, you could only add If and Else branches to a condition statement. Now, you also add one or more Else If branches, and the agent follows the first branch that applies.

Preview Custom Lightning Types in Agentforce Service Agents

Now you can validate your Agentforce Service agent’s custom responses in Agentforce Builder. Custom Lightning types (CLTs) are used to customize the UI for agent action inputs and outputs for a more branded, interactive experience. When you preview a conversation with a Service agent connected to Enhanced Chat v2, CLTs in agent actions render as your customers see them.

Personalize Voice Interactions Faster with Voice Call Variables in Canvas View

Give your voice agents access to call details so that they can respond with more context. After you add the Telephony connection to your agent, you can add voice call variables to it on the Variables page in Canvas view and use the variables throughout your agent’s reasoning and interactions. Previously, you could only use voice call variables with Agent Script.

Reduce Resolution Time with File Sharing in Enhanced Chat v2

Give service reps the context they need to resolve inquiries faster. Customers can now share files such as screenshots, receipts, and PDFs with service reps in Enhanced Chat v2 sessions. Sharing files with AI agents isn't available yet.

Create Agents in the New Builder Only

The New Agent button is no longer available in the legacy Agentforce Builder in Setup. You can now create agents in the new Agentforce Builder in Agentforce Studio only. This change doesn’t affect your existing agents in the legacy builder. You can continue to edit, activate, version, and otherwise manage them. We recommend upgrading your agent from the legacy builder to the new builder, which creates a version of your agent in the new builder. The new version includes all of the original agent’s subagents, actions, system messages and settings, data, and connections, converted to Agent Script.

Agentforce Observability: Create Scorers via API, Interaction-Level Metrics, SOMA and Voice Session Trace Additions, Changes to Billing and Consumption

Custom scorers are now generally available (GA) via API. The Session & Intents view has new columns that showcase Scorers and Error data. Session Tracing includes more granular multi-agent and metrics' breakdown. This release also provides new service level metrics to better gauge your agent's interaction with customers and how they affect your credit usage and billing.

Guide Your Users to Agent Conversations from Lightning App Home Pages

Welcome recommendations are prompts that suggest ways to start a conversation with an Agentforce Employee agent, so your users can select a prompt instead of typing a message from scratch. Welcome recommendations are available only for Agentforce Employee agents in Lightning Experience, in both Agentforce Builder and the legacy Agentforce Builder. They now appear on supported Lightning app Home pages, including Sales Home, Service Home, Marketing Home, and custom application Home pages. Previously, they appeared only on record pages and list views.

Control Which Model Each Subagent Uses in Agentforce Builder

Select the model that gives your subagent the best balance of speed and reasoning depth for its specific job. For example, a subagent that performs simple tasks can run on a smaller model and one that manages complex tasks can use a larger one. Previously, you could only set a model for a subagent with Agent Script.

Deploy Agentforce Employee Agents on Enhanced Chat v2

Give your employees a chat experience optimized for modernized features and agentic use cases. You can now deploy Agentforce Employee agents on Experience Cloud sites with Enhanced Chat v2.

New Web Search Data Libraries Aren't Supported in the Agentforce Data Library

The Agentforce Data Library no longer supports creating web-based data libraries. You can still view and use your existing web search data libraries.

Test Prompt Templates in Agentforce Testing Center (Beta)

Surface patterns and edge cases missed in smaller-scale testing when you run tests at scale. Test your prompt templates by selecting Prompt Templates as the test type in Agentforce Testing Center. Build test cases and manage test suites, all in a spreadsheet-inspired interface that makes it easier to validate and debug.

Toggle Intelligent Context Processing On or Off in Agentforce Data Libraries

Enable or disable Intelligent Context processing for file-based data libraries. Intelligent Context improves retrieval accuracy for tables and infographics, and is enabled by default.

Get Real-Time Updates on Your Agentforce Data Library Build and Resolve Issues Faster

Track the progress of your Agentforce Data Library build stage by stage, and use links to relevant objects to review and resolve issues faster.

Choose a Transcription Model for the Speech to Text Agent Action

Use the Transcription Model parameter on the Speech to Text action to control which model converts audio to text. Choose the model that best fits your transcription needs, such as audio quality, language, and data handling requirements. This parameter is available in Agentforce Builder, Flow, and REST.

Quickly Access Enhanced Chat v2 Deployment Options in Agentforce Builder

Spend less time switching between setup pages for Enhanced Chat v2 deployments. You can now preview an Enhanced Chat channel's deployment or copy its code snippet from the channels table in Agentforce Builder.

Set Context Variables Faster for More Accurate Agent Previews

When you preview an agent, it’s easier to find where to set initial variables so your agent’s preview behavior accurately reflects your user’s context. Previously, you viewed and edited variable values in the Variables tab in the bottom panel, next to Trace. Now you set and override variable values in the new Context Variables tab, which is more discoverable at the start of a session. We’ve also added an icon to warn you when your agent uses a linked variable that’s set for you in production, but isn’t set in preview—for example, a value that’s filled from the Messaging Session object when your agent is live on a Messaging channel. To track variable values throughout the session, you can still use the Variables tab in the bottom panel.

Agentforce Observability: Insights Page Retirement and Model Selection

Agentforce Studio's Insights page is retiring in July 2026. Observability data moves to Analytics dashboards for a comprehensive view of session and intent analysis. Agentforce Observability also now uses your org-level LLM provider selection.

Create AI-Powered Service Channels from Your Knowledge Base

Quickly build AI-powered service channels grounded in your knowledge base using Quick Service Agent Configuration. This process can create your self-service help portal, Voice channel, or web chat and power them with Help agent, built on the Agentforce Service agent template. This process handles setup and prerequisites automatically, letting you launch channels without the overhead of Experience Cloud sites or user profiles. Use these channels to provide 24/7 support and deflect cases.

Select Gemini for Agentforce

Select Google Gemini for LLM requests in Agentforce. This option is an alternative to the existing Salesforce Default option, which uses OpenAI, and the AWS-Hosted option, which uses Anthropic. The Google Gemini option uses Gemini 3.5 Flash. Google Gemini is supported for agents built in the new Agentforce Builder only. Don't select Google Gemini if you have active agents created in the legacy Agentforce Builder.

Sharper Transcription and More Natural Voice for Agentforce Voice

Your voice agents now deliver sharper transcription and better natural speech output—no configuration or restart required. Transcription is more accurate in noisy environments, with accented speech, and with specialized terminology. Non-English personas also now support custom International Phonetic Alphabet (IPA) or Carnegie Mellon University (CMU) pronunciations, giving them the same customization options as English-speaking agents.

Chat with Agentforce in 24 More Languages (Beta)

In addition to English, Japanese, French, German, Italian, Japanese, Portuguese, and Spanish in certain locales, Agentforce now supports 24 more languages.

Gain Insights Into Agentforce and Generative AI Consumption

Monitor your AI usage and consumption. The new AiAgentGenerativeAiUsage model contains your Agentforce and generative AI usage including metered and unmetered usage. Updates to the data occur every 5 minutes. Write Data 360 queries and build reports and dashboards. Conduct usage analytics and gain actionable insights into AI consumption across your entire organization.

Edit Subagents in the Asset Library

You can now edit subagents directly in the Asset Library in Setup. Updating a subagent in the Asset Library doesn't impact current agents, which use a copy of the original subagent.

Agentforce Observability: Refined Agent Analytics and Custom Scorers (Beta)

Get a unified view of agent performance with Refined Agent Analytics, which combines Service Agent Analytics and Employee Agent Analytics in one place with more than 40 metrics. Use Custom Scorers (Beta) to evaluate sessions against your own KPIs alongside Salesforce standard quality metrics.

Unlock Agent Interoperability with MCP for Agentforce

Empower your agents with capabilities across providers with Model Context Protocol (MCP) for Agentforce. MCP is an open standard for seamlessly connecting AI models to external systems. We’ve built an MCP client into Agentforce, so the complex, manual work of integrating systems–including API connectivity, authentication, and data access–is done for you. MCP for Agentforce and its suite of features makes it easy for you to register and manage MCP servers, create policies to govern agent behavior, and give your agents secure access to MCP server tools.

Protect Connections to Your External APIs and MCP Servers with Agentforce Policies

Create policies to protect connections to your external API and MCP servers so that agent tools can securely and properly access those services. Control access, set usage limits, and support governance standards.

Route Agentforce Voice Calls Using SIP

Take advantage of the internet’s cost-effective and flexible virtual connection. Route calls to an Agentforce Service agent using Session Initiation Protocol (SIP). This protocol transmits calls over the internet. Previously, you could route these calls with a Public Switched Telephone Network (PSTN) phone number only.

Route Agentforce Voice Calls Globally with Dynamic Routing

Expand call routing globally with Dynamic Routing, a new communication protocol for Agentforce Voice. PSTN is limited to the US and Canada. SIP requires a dedicated integration with a vetted telephony partner. Dynamic Routing removes both barriers. It works worldwide and doesn't require a SIP trunk or telecom resale agreement.

Record Voice Calls for SIP and Dynamic Routing Channels

Record voice calls between customers and the Agentforce Voice agent on your SIP and Dynamic Routing voice channels. Use recordings to support quality assurance reviews, agent coaching, and compliance initiatives. To easily distinguish speakers during playback, recordings are stereo-separated, with the customer on one channel and the agent on the other. Each recording is stored as an MP3 file and automatically linked to its voice call record for easy access.

Create and Deploy Voice Enabled Agents in the New Agentforce Builder

You can now build, customize, and deploy voice-enabled service agents in the new Agentforce Builder. Use Agent Scripts and multi-step workflows within the new builder to build your voice-enabled agents.

Expanded Global Language Support with Agentforce Voice (Beta)

Agentforce Voice now supports additional global languages beyond English and French, allowing you to reach a broader audience. These languages are currently supported in Beta.

OpenAI Search Provider in the Search the Web Agent Action Is Now Generally Available

Get relevant, real-time web search results within your AI agents by using OpenAI as a search provider. OpenAI as a search provider, which is now generally available, includes an update to the underlying web search model since the beta release.

Increase Trust with Citations in Bring Your Own Channel

Build trust in AI-generated responses by providing source references in Bring Your Own Channel outbound messages. Messaging end users can now verify Agentforce Service Agent's answers against knowledge articles or other sources directly within your custom UI. With source links and character offsets in the outbound message payload, partners can render inline markers or a dedicated sources section.

Easily Upgrade Agents from the Legacy Builder to the New Builder

Upgrade an agent from the legacy Agentforce Builder in Setup to the new Agentforce Builder in Agentforce Studio, with just a few clicks. Previously, you had to manually recreate your agent in the new builder. Now, you simply specify the agent and version that you want to upgrade, and then we create a new version in the new builder for you. The upgraded agent includes all of the original agent’s subagents, actions, system messages and settings, data, and connections, converted to Agent Script. Plus, after you upgrade, Agentforce can optimize your agent for Agent Script to improve your agent’s reliability and performance.

Build an Agent Script-Powered Agent End to End with the Updated Implementation Guide

The Agentforce Implementation Guide is our most comprehensive, hands-on resource for building agents on the Salesforce Platform. We’ve updated the guide for the new Agentforce Builder in Agentforce Studio. Follow along to build a more deterministic agent with Agent Script and see the power of hybrid reasoning in action. Take advantage of new testing capabilities with the enhanced preview and debugging experience in Agentforce Builder and the new Agentforce Testing Center in Agentforce Studio. Plus, learn how to get the most out of your agent with an updated Observability guide. Complete the implementation guide to get a fully functional customer-facing agent that can answer customer questions, create and update cases, and escalate to a support rep.

Transform Your Customer Experience with Voice-Enabled Agents in Enhanced Chat v2

Scale your operations and decrease agent handle time by offering customers a more engaging and accessible way to interact with your service agents. With Agentforce Voice for Enhanced Chat v2, customers can seamlessly switch between text and voice mode. Easily set up a voice-enabled service agent and customize it to meet your unique business needs in Agentforce Builder.

Elevate Your Enhanced Chat v2 Deployments with More Customization and Reliability

Strengthen your brand presence and keep conversations flowing with Enhanced Chat v2 customization and messaging enhancements. Control the chat window dimensions and background colors. Improve the end-user experience with read and delivery receipts, smoother message rewrites, and improved auto-response messages, including inactivity notifications.

Build Agents Faster and Ensure Consistency with Connection Inputs for Marketing Email

Reduce setup time and keep experiences on-brand with the new signature and disclosure inputs for the Marketing Email connection. By default, connection inputs and their settings are shared across all agents that have the connection. When you customize a specific agent’s connection inputs, it doesn’t impact other agents that use the connection. Similar to variables, you can use connection inputs throughout your agent’s reasoning and interactions. Input values can’t be changed during a conversation.

Orchestrate Other Agents (Beta)

Extend your agent’s capabilities with Multi-Agent Orchestration for Agentforce (Beta). Connect your Agentforce agent with other specialized Agentforce agents in your Salesforce org. Together they can collaborate seamlessly on complex tasks. By providing a single, unified point of contact, connected subagents help your users accomplish more without juggling multiple disconnected sessions.

Prepare for Updated Model for AWS-Hosted Option in Agentforce

The AWS-Hosted option for Agentforce will use Anthropic Claude Haiku 4.5 on Amazon Bedrock later this month. It currently uses Claude Sonnet 4, which is in the Legacy state on Amazon Bedrock.

New and Changed Agent Script Functionality

Use Agent Script to build agents that blend deterministic logic with the reasoning power of LLMs.

New and Changed Standard Agent Actions and Subagents

Quickly add powerful functionality to an agent with new and changed standard agent actions and subagents.

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Learn more about our latest release, designed to help you connect to customers, employees, agents, and operations in a whole new way.

Agentforce 360 is our boldest release yet, shaped by thousands of real-world customer deployments.

This release introduces a new Agentforce Builder for faster agent development, Agent Script for greater control of agent behavior, Agentforce Voice for natural on-brand conversations, and Intelligent Context to ground agents in your complex unstructured data.

Explore Agentforce 360

Agentforce Builder

Agent Script

Agentforce Voice

Intelligent Context

Everyone can now build and control reliable agents with Agentforce Builder

With Agentforce Builder, teams can now craft, test, and refine agents in a single, conversational workspace. Whether you're a seasoned developer or a natural language builder, you can ditch the separate build, test, and deploy cycles. Revolutionize your workflow with "vibe-building," instant editing in doc-like, canvas, or script views, and one-click simulations with real-time debugging. Iterate radically faster, safer, and more collaboratively than ever before. Every agent compiles into a portable JSON file, making versioning and sharing a breeze, while our enterprise-grade security and privacy controls ensure top-tier governance.

Key capabilities include:

• Unified workspace: Collapse drafting, testing, and deployment into a single interface, eliminating the traditional build-test loop.
• Multi-view editing: Switch seamlessly between a doc-like editor with autocomplete in a low-code canvas, and a script view to match any workflow.
• Rapid iteration with simulation and live debugging. Preview real user interactions in real time, view trace data for each reasoning step, and adjust instantly.
• Enterprise-grade governance: Built on Salesforce’s security and privacy features to ensure compliance and safe deployment.
• Agentforce Vibes: An AI coding partner that collaborates like a pair programmer, understanding your Salesforce project context and executing on your behalf to accelerate development.

Control agent behavior with Agent Script

Agent Script is a new scripting language for controlling agents. It combines the creativity of AI with the predictability of code so that agents perform the exact way you want them to, every time. Agent Script allows you to define agent behavior with a human-readable expression language, which enables conditional logic, precise tool use, and guided, deterministic controls. This new level of control empowers Agentforce to tackle even your most complex tasks with confidence.

Key Capabilities include:

• More predictable agents - Agent Script is a new scripting language designed for controlling agents. This human-readable, portable JSON expression language allows teams to define complex agent logic, including conditionals, “if/then” rules, and hand-offs - all with programmatic precision.
• Hybrid Reasoning in the Atlas Reasoning Engine: The Atlas Reasoning Engine is now configurable, enabling teams to balance the inherent creativity of LLMs with the certainty of structured business logic, enabling more predictable and reliable agent behavior.
• Flexible, expanded model choice: Agentforce now supports Google Gemini as a model for the Atlas Reasoning Engine, joining Open AI and Anthropic on Amazon Bedrock to enable even greater choice for what models Agentforce uses to reason and plan.

Create unified, dynamic experiences that delight with Agentforce Voice

Leave long waits and frustrating phone menus behind. Agentforce Voice delivers natural, human-like conversations that capture your brand's unique tone and personality, and connect seamlessly to every part of your business. With 80% of all inquiries starting by phone, we're transforming every call into a dynamic, real-time interaction that is fully integrated into every Salesforce application. We put each agent through thousands of real-world scenarios—including noisy backgrounds, distracted callers, and complex, multi-step processes—to ensure reliable, enterprise-ready performance. The result? Stronger customer relationships and measurable ROI.

Key capabilities include:

• Fully personalized voice agents: Each AI agent speaks in a voice aligned to the company’s brand, trained on its data, tone, and contextual knowledge.
• Ultra-realistic, low-latency interactions: Built for real-time responsiveness, Agentforce achieves near-human conversational flow while executing actions such as updating CRM records, triggering workflows, or calling APIs - with full auditability through Data 360.
• Seamless integration: Natively connected to Salesforce, Agentforce Voice extends across the contact center stack with first-class support for Amazon Connect, Five9, Genesys, NiCE, and Vonage.
• Fluid, interruptible conversations: Every word is transcribed live in Salesforce Voice, giving human agents real-time visibility from within the agent console to allow instant, seamless takeovers when needed.
• Voice-first platform architecture: Enhanced latency, speech realism, and deep language understanding make it not just a new modality - but a complete platform experience built to meet customers where they are.

Make every agent more accurate with Intelligent Context

Enterprise-grade agent experiences start with business-specific context. Intelligent Context ensures your AI agents are deeply grounded in the complex, unstructured data of your business. Powered by the new Data 360, this feature automatically extracts, structures, and surfaces this information so your agents can deliver accurate, relevant, and business-specific answers. Our low-code pipeline lets you configure document processing in hours instead of days. Plus, you can configure context so agents interpret the same content from multiple business perspectives. The result is agents that reason with the right data, empowering your teams with rich, contextual intelligence in every interaction.

Key capabilities include:

• Automated context extraction: Converts complex, unstructured documents into structured, actionable data for Agentforce.
• Low-code configuration: Quickly set up unstructured data pipelines in hours, not days, without extensive engineering effort.
• Multimodal support: Handles PDFs, tables, images, flowcharts, and other diverse content types.
• Seamless integration with Data 360: Create a search index with AI, then activate it everywhere for secure, contextual, enterprise-ready operations.

Build, deploy and manage AI agents at scale.

Learn more: Agentforce Builder

Configure Agentforce Topics, Subagents, and Instructions in a few clicks.

Learn more: Agentforce Voice

Bring AI-powered voice to every channel with Agentforce Voice. Deliver fast, natural conversations across phone, web, and mobile.

Learn more: Multi-Agent Orchestration

Build a collaborative AI agent team that works together to solve complex problems faster.

Learn more: Agentforce Observability

Monitor, analyze, and optimize agent performance in near real time so you can deliver faster resolutions, higher accuracy, and better customer experiences.

Agentforce 360 Ecosystem

Customer Model Choice for Agentforce

Agentforce Voice CCaaS Partners

Ready to take the next step with Agentforce?

Build agents fast.

Take a closer look at how agent building works in our library.

Get expert guidance.

Launch Agentforce with speed, confidence, and ROI you can measure.

Talk to a rep.

Tell us about your business needs, and we’ll help you find answers.

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