Salesforce Unveils Agentforce 2dx: Ushering in a New Era of Autonomous AI Agents

TDX 2025: New Agentforce Version, Salesforce Developer Edition Unveiled

"We feel really excited about the momentum that we're seeing in the partner network," Brent Hayward, Salesforce's head of competitive intelligence, told CRN in an interview. Salesforce has followed up its reveal of a new artificial intelligence agent marketplace by putting an April launch date on the full release of its Agentforce version 2dx plus a new, free developer edition of Salesforce for building AI agents. The unveils come as Salesforce wraps up its TDX developer conference, which runs through Thursday in its headquarters city of San Francisco-and as AI rival Microsoft takes direct aim at Salesforce and other customer relationship management (CRM) software providers with its Sales Development and Sales Chat agents. Brent Hayward, Salesforce's head of competitive intelligence, told CRN in an interview that the vendor is positioning itself as the company for superior agents with a platform that unifies data and saves users from what Salesforce calls do-it-yourself (DIY) AI. The Salesforce vision of AI brings plenty of opportunity to its ecosystem of about 12,000 partners, he said. "With agents, there are going to be opportunities across the entire enterprise," Hayward said. "Everyone is realizing that maybe the practices that we built to support do-it-yourself AI need to quickly pivot to practices that are now deploying agents. And that's where, from a Salesforce perspective, we feel really excited about the momentum that we're seeing in the partner network." [RELATED: Salesforce Launches AI Agents Marketplace] Mike Jortberg, a senior global sales director with Salesforce partner Slalom-No. 27 on CRN's 2024 Solution Provider 500-told CRN in an interview that Agentforce has broken through an overwise softer sales environment for other areas of IT. Slalom has leveraged Agentforce for its own sales process and delivery process, he said. Recent Agentforce events Slalom has conducted have been standing-room only. He estimates that his teams have talked to hundreds of customers a week about the platform. Jortberg said that about 68 percent of Slalom's use cases for live agents in production are in service, with 19 percent in sales. That's across 30 projects, 36 clients and 54 agents. "We're super excited about it," Jortberg said. "It's applicable to every industry in every department." Although version 2dx is slated for April, Salesforce plans to release some features in advance, according to the vendor. Agentforce Developer Edition, MuleSoft for Agentforce, and Agentforce invocable actions and the new Agentforce application programming interface (API) are among the features already available. Agent Builder with AI assist, included with Agentforce, is set for a March release. Agentforce Employee Agent and guardrail evaluation enhancements to the testing center are set for April. In the fall, Salesforce will release the Agentforce Interaction Explorer. The new version of Agentforce promises users the ability to launch proactive AI agents working without constant human oversight and going beyond what Salesforce called reactive, user-initiated chat interfaces-a possible reference to Microsoft's Copilot AI model. Users can integrate these autonomous agents into existing data systems, business logic and user interfaces, Salesforce said in a statement. In Agentforce 2dx are new tools for developers to configure, test and deploy Agentforce faster, according to the vendor. Agentforce pairs with analytics tools to aid with monitoring, debugging and optimizing agent performance. The new tools include a new API for integrating Agentforce in other systems and apps and invocable actions to embed Agentforce in Salesforce business logic to bring agentic reasoning to workflow automations. The Agentforce Interaction Explorer allows users to receive detailed reporting and analytics on performance in individual sessions and in general. A developer edition of Agentforce adds a free environment for prototyping agents, and an integration with MuleSoft allows for developers to leverage natural language for topics and actions. Developers can now embed Agentforce into no-code Slack automation to trigger agents from Slack events. An employee template feature allows customers to make multiple employee agents for any line of business. And Agentforce Surfaces allows users to add channel- and device-specific interactive components and media to improve how Agentforce shows in digital engagement channels. Users can leverage Tableau to give agents more real-time business context for more accurate insights and answers. And an AI assistance in Agent Builder allows users to quickly configure agents adhering to best practices, troubleshoot Agentforce answers and give guidance for improving underlying topics and instructions, according to Salesforce. As for Salesforce Developer Edition, the new iteration promises to enable users to build AI agents and harmonize their data. The edition offers a dedicated, full-featured environment that doesn't expire as long as it is used, according to Salesforce. The goal is for reduced development cycles, application building with drag-and-drop tools and integration with applications, websites and third-party systems. Users can customize and test Agentforce through clicks or coding and ground the platform on structured and unstructured data, according to Salesforce. Developer Edition-made agents can interact with end customers and autonomously, automate workflows across multiple Salesforce objects and actions and target specific customer groups for personalized campaigns and offers.

Salesforce lets AI agents run in the background with Agentforce 2dx launch - SiliconANGLE

Salesforce lets AI agents run in the background with Agentforce 2dx launch Salesforce Inc. today launched Agentforce 2dx, the next iteration of its platform for artificial intelligence agents, which allows agents to act proactively based on changes, function autonomously and interact with users more efficiently. Additionally, Salesforce unveiled development tools for both developers and business users. The toolset enables faster building, customization, testing and deployment of Agentforce agents. It also offers advanced analytics and monitoring capabilities for easy debugging and performance optimization. "Companies today have more work than workers, and Agentforce is stepping in to fill the gap," said Adam Evans, executive vice president and general manager of Salesforce's AI platform. "By extending digital labor beyond customer relationship management, we're making it easier than ever for businesses to embed agentic AI into any workflow or application to handle routine tasks." AI agents have become a significant industry trend, marking a transformative shift in labor practices, according to Salesforce. Agentic AI refers to systems capable of taking independent actions, making decisions, and utilizing various tools without constant human oversight. In contrast to traditional chatbots, which require specific, repeated prompts, AI agents dynamically respond to real-time data and can automatically execute actions, integrating with industry tools as needed. Until now, Agentforce agents were triggered from chat interfaces and acted when humans told them to take action. With Agentforce 2dx, agents will operate in the background and can be tied to events using the Agentforce application programming interface that will allow them to allow software to talk to and trigger agents to take action. That means a developer can build an agent that springs into action when a particular event happens. For example, an AI agent working at a warehouse could be triggered by an alert from data analysis that a particular product is currently low and upcoming orders will require certain amounts available. The agent can then retrieve predictive data about how much to order, and the best prices, and formulate a plan to fulfill the future orders at the lowest possible cost before the surge happens. Similarly, AI agents could be triggered by customers from Slack events, and pass along Slack conversation context to Agentforce without user-initiated action. That would allow the AI agent to pull together conversation notes about meetings, projects or other conversations that fit particular topics to keep teams up to speed without them asking, or even helpfully put together charts and other elements before they ask. With the new Agentforce developer toolkit, business users and expert users will find a new way to use the company's Agent Builder tool to get exactly what they want out of Agentforce agents, the company said. It launches with Agentforce Developer Edition, a new free environment linked with Agentforce and Data Cloud that includes a data space, 10 gigabytes of access and 150 large language model generations per hour. Customers can get up to speed quickly by asking the AI to assist them in building their first agent and telling it what they want using natural language. By instructing the Agent Builder, they can quickly customize their agent to fit their industry and configure it with best practices. AI assist can also help teams troubleshoot common problems with prompting, such as accidentally contradicting themselves in long prompts. That includes guidance on how to improve the underlying topic and instructions. After building and customizing the agent and before deploying, customers can test their Agentforce AI agent at large scale - with as many iterations as they want - in a testing center. It will automatically generate as many test cases as they want and deploy them into a sandbox so they can evaluate scenarios to make sure it is adhering to guardrails such as faithfulness and relevance. Professional, or pro-code, developers can create, update and test Agentforce agents in their preferred environment including the command line and Visual Studio. Every aspect of Agentforce can be configured, created and updated with pro code tools, and test cases can be run for these configurations, the company said. Once the agent is released to the public, users get access to a dashboard called Agentforce Interaction Explorer that provides detailed reporting and analytics about how agents are performing. It also offers a broad holistic view that includes general trends down to individual sessions. That allows AI engineers to drill down into conversations to understand the logical progression and reasoning of individual AI agents to help pull them out and refine their prompts in the testing center. The release of this development toolset follows the announcement Monday of AgentExchange, an AI agent skills and templates marketplace launched with more than 200 initial integration partners earlier this week. Developers can use "skills" taken from partners in the marketplace and integrate them into their agents to accelerate their development, or choose from industry templates to jumpstart the process of building and deploying.

TDX25 - Salesforce heralds a new era of autonomous agents as it introduces Agentforce 2dx

Agentforce, the agentic AI platform that Salesforce introduced last September and already upgraded to Agentforce 2.0 in December, today reaches its next iteration, Agentforce 2dx. New features include an API and other triggers enabling event-driven agent actions, new tools and features to configure, test and deploy agents more easily, a free developer edition, and the AgentExchange partner marketplace launched yesterday. The emphasis of the latest release is on enabling proactive, autonomous agent actions, with a subtext of encouraging and supporting developers and admins to step up the pace at which they're building and deploying agents. There are also UI enhancements. In a pre-briefing ahead of the news, Adam Evans, EVP and GM of AI at Salesforce, summed up how the platform is evolving: Agentforce started as a chat-driven experience, and now we're taking it beyond chat. AI agents and Agentforce can integrate across the entire enterprise, any workflow, any team. It starts with this idea of being able to do background work, where agents can be triggered from any platform event -- anytime a record change[s], a new case comes in -- anything inside of the unified platform of Salesforce can begin an agent to do work in the background, as a data analyst and more. This change is significant, because now instead of chat, where agents tend to be reactive only, Agentforce now has the ability to be proactive. In adding this, we also have more control that enterprises demand, with the introduction of variables that allow us to blend together deterministic logic, with variables and structures, with the amazing capabilities of the unstructured thinking that agents provide, all together. In detail, those new features include: The new free Agentforce Developer Edition includes 10GB of access to Data Cloud, and 150 LLM generations per hour, so that developers can get started on prototyping first use cases. An AI-powered Testing Center supports Agentforce testing at scale, with the ability to automatically generate and run test cases in the Salesforce Sandbox. Pro developers can now create, update and test Agentforce configurations using the command-line interface and Visual Studio code. Other tools allow for inspection of how Agentforce is using data and metadata, and performance reporting and analytics, with the ability to drill down to individual sessions. For those creating agents in Agent Builder, AI-powered topic and instruction creation helps quickly configure agents and the AI assistant can also help troubleshoot agent answers with guidance on how to improve the underlying topic and instructions. These tools will allow for much more detailed observability and governance of agents, said Evans. At a high level, there will be the ability to use AI to analyze agent responses at scale and to flag opportunities for improvement or notable successes. There will also be the ability to spot-check specific classes of interaction and fine-tune the data or instructions to improve performance. Finally, there's the ability to drill down to individual interactions. He goes on: You can also get the inner monolog and the thinking and the eventing, all the way down to things like latency and almost like a developer tool, what actions were called, and the parameters and more, and those sessions and that level of logging. You can imagine taking that and moving that right into that Testing Center as well. So if you see something that you're like, 'Oh, that's a bit off,' and we want to do more of this or less of this in future, you can take that as a sample from real-world data and then use that in the Testing Center with AI to then take that and create variations of a real-world example to then run in batch tests that are part of your agent development lifecycle. These new capabilites perhaps provide some comfort to developers that may have been worrying about their job prospects in the new era of agentic AI. But developing with agents does require a different mindset than traditional programming, as Alice Steinglass, EVP and GM, Salesforce Platform, added: The way we build with agents is fundamentally different from the way we used to build software. When we talk about how long the instructions are, if I was building, I don't know, a check-in for a hotel, I had to build every if-then and every possibility, and I had to hard code every single part of it. So when I think about interpreting that into instructions for the agent, my first gut is, I've got to write down every single thing that could possibly happen. What if they're a vegetarian, and what if they need a different room, and what if they want a view of the lake? All of that needed to be hard coded. But now with agents, I'm actually doing it differently. I'm breaking it down into smaller chunks and saying, 'Hey, here's what I want to do in this scenario, here's what I want to do in this scenario.' And then the agent, at runtime, is able to dynamically compose these individual pieces together, which means the individual instructions, they're much smaller. That makes it easier to test. And it also means that I can bring in more flexibility and understanding so my agent can interpret some of those instructions. I could have a policy document that explains them instead of hard coding them with if-then statements. There's much for delegates at TDX to digest. I remember when Salesforce adapted to mobile technology and introduced Lightning, and it had to re-architect a lot of its APIs because mobile apps required a different approach than earlier web apps. Now there's a similar new learning curve for agentic AI, as the raw material that's used to build applications changes yet again.

Salesforce lets AI agents run in the background with Agentforce 2.5 launch - SiliconANGLE

Salesforce lets AI agents run in the background with Agentforce 2.5 launch Salesforce Inc. today launched Agentforce 2.5, the next iteration of its platform for artificial intelligence agents, which allows agents to act proactively based on changes, function autonomously and interact with users more efficiently. Additionally, Salesforce unveiled AgentforceDX, a toolkit for both developers and business users. The toolset enables faster building, customization, testing and deployment of Agentforce agents. It also offers advanced analytics and monitoring capabilities for easy debugging and performance optimization. "Companies today have more work than workers, and Agentforce is stepping in to fill the gap," said Adam Evans, executive vice president and general manager of Salesforce's AI platform. "By extending digital labor beyond customer relationship management, we're making it easier than ever for businesses to embed agentic AI into any workflow or application to handle routine tasks." AI agents have become a significant industry trend, marking a transformative shift in labor practices, according to Salesforce. Agentic AI refers to systems capable of taking independent actions, making decisions, and utilizing various tools without constant human oversight. In contrast to traditional chatbots, which require specific, repeated prompts, AI agents dynamically respond to real-time data and can automatically execute actions, integrating with industry tools as needed. Until now, Agentforce agents were triggered from chat interfaces and acted when humans told them to take action. With Agentforce 2.5, agents will operate in the background and can be tied to events using the Agentforce application programming interface that will allow them to allow software to talk to and trigger agents to take action. That means a developer can build an agent that springs into action when a particular event happens. For example, an AI agent working at a warehouse could be triggered by an alert from data analysis that a particular product is currently low and upcoming orders will require certain amounts available. The agent can then retrieve predictive data about how much to order, and the best prices, and formulate a plan to fulfill the future orders at the lowest possible cost before the surge happens. Similarly, AI agents could be triggered by customers from Slack events, and pass along Slack conversation context to Agentforce without user-initiated action. That would allow the AI agent to pull together conversation notes about meetings, projects or other conversations that fit particular topics to keep teams up to speed without them asking, or even helpfully put together charts and other elements before they ask. With the new AgentforceDX, business users and expert users will find a new way to use the company's Agent Builder tool to get exactly what they want out of Agentforce agents, the company said. It launches with Agentforce Developer Edition, a new free environment linked with Agentforce and Data Cloud that includes a data space, 10 gigabytes of access and 150 large language model generations per hour. Customers can get up to speed quickly by asking the AI to assist them in building their first agent and telling it what they want using natural language. By instructing the Agent Builder, they can quickly customize their agent to fit their industry and configure it with best practices. AI assist can also help teams troubleshoot common problems with prompting, such as accidentally contradicting themselves in long prompts. That includes guidance on how to improve the underlying topic and instructions. After building and customizing the agent and before deploying, customers can test their Agentforce AI agent at large scale - with as many iterations as they want - in a testing center. It will automatically generate as many test cases as they want and deploy them into a sandbox so they can evaluate scenarios to make sure it is adhering to guardrails such as faithfulness and relevance. Professional, or pro-code, developers can create, update and test Agentforce agents in their preferred environment including the command line and Visual Studio. Every aspect of Agentforce can be configured, created and updated with pro code tools, and test cases can be run for these configurations, the company said. Once the agent is released to the public, users get access to a dashboard called Agentforce Interaction Explorer that provides detailed reporting and analytics about how agents are performing. It also offers a broad holistic view that includes general trends down to individual sessions. That allows AI engineers to drill down into conversations to understand the logical progression and reasoning of individual AI agents to help pull them out and refine their prompts in the testing center. The release of this development toolset follows the announcement Monday of AgentExchange, an AI agent skills and templates marketplace launched with more than 200 initial integration partners earlier this week. Developers can use "skills" taken from partners in the marketplace and integrate them into their agents to accelerate their development, or choose from industry templates to jumpstart the process of building and deploying.

Salesforce launches Agentforce 2dx, letting AI run autonomously across enterprise systems

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Salesforce announced Agentforce 2dx today, a major update to its digital labor platform that enables autonomous AI agents to work proactively behind the scenes across enterprise systems without constant human supervision. The announcement marks a substantial evolution from the company's previous approach, where agents primarily operated within chat interfaces and required explicit user prompts. The new system aims to embed AI agents that can anticipate needs, monitor data changes, and take action autonomously across any business process. "Companies today have more work than workers, and Agentforce is stepping in to fill the gap," said Adam Evans, EVP and GM of Salesforce's AI Platform, in a statement sent to VentureBeat. "By extending digital labor beyond CRM, we're making it easier than ever for businesses to embed agentic AI into any workflow or application." Autonomous AI agents now work without human prompting The most transformative aspect of today's announcement is the shift from purely reactive AI interactions to proactive agents that can operate autonomously in the background. This change allows companies to deploy AI labor that doesn't just wait for user commands but actively monitors systems and initiates processes when needed. "What surprised me the most is the pace -- the speed of creation and speed of iteration," said Rob Seaman, SVP and GM of Slack, in a recent interview with VentureBeat. "The number of people now that can create technology that can help solve employee or customer problems has dramatically expanded because it's topics and instructions, not C++, Java, Python, or Hack." The announcement comes at a critical moment in the evolution of AI agents, as enterprises move beyond experimentation toward deploying autonomous systems that can handle increasingly complex workflows without human intervention. Digital assistants will soon negotiate with each other on your behalf Salesforce is particularly focused on creating what it calls a "multi-agent framework" where personal AI assistants will interact with enterprise agents to complete tasks. "You'll see very interesting situations where our personal agents will be interacting with enterprise agents," said Silvio Savarese, Salesforce's Chief Scientist, in a recent interview with VentureBeat. "For example, I want to rent a car for a certain trip. I'll ask my personal agent to find the best options. My personal agent knows my calendar and preferences, then reaches out to the car company's agent to negotiate the time, schedule, price, options, and insurance." This vision suggests a future where AI agents increasingly talk to each other, with humans providing final approval rather than managing every step of business processes. Developer tools aim to accelerate enterprise AI adoption To accelerate the adoption of its agent technology, Salesforce is introducing a suite of new tools aimed at both developers and administrators. These include a free Agentforce Developer Edition environment for creating prototypes, AI assistance in Agent Builder to help configure agents more quickly, and a Testing Center for automated evaluation of agent configurations at scale. The company is also launching AgentExchange, a marketplace with over 200 initial partners and hundreds of pre-built agent components, alongside new capabilities to embed agents in various contexts through the Agentforce API, MuleSoft integration, and Agentforce Steps in Slack Workflow Builder. "If you look at Slack today, our customers have created over 21 million custom apps on the slack platform," Seaman noted. "Now Agent Force is giving customers a way to build these agents themselves, grounded in their CRM data, calling actions in Slack and deployed in Slack." Healthcare industry targeted for major administrative relief Salesforce is also targeting specialized industries, particularly healthcare, with Agentforce for Health, which aims to reduce the administrative burden on healthcare providers. "Around 87% of people in healthcare say they work late each night to finish administrative tasks," said Amit Khanna, SVP and GM for Salesforce Health. "Our goal is to reduce that number by providing care, which is what doctors and caregivers should be focusing on." Khanna described specific applications like automating benefits verification, summarizing patient records for care coordinators, and simplifying appointment booking. The healthcare-specific agents are designed to understand medical workflows and comply with privacy regulations. Early Adopters Report Millions In Cost Savings From AI Implementation Early adopters of Agentforce include companies across various industries. The Adecco Group is using the technology to transform recruitment by automating resume screening and candidate engagement. Engine, a travel platform, is automating customer service tasks and estimates nearly $1.9 million in annualized benefits. Precina, a healthcare company for type 2 diabetes patients, reports an estimated $80,000 in annual savings for every 5,000 patients, while OpenTable reports that its implementation is handling 73% of restaurant web queries. "With Agentforce, we've built multiple AI agents that power various parts of our business, addressing every stage of the customer lifecycle," said Elia Wallen, Founder and CEO at Engine. Implementation requires anticipating AI failure points Despite the optimism, Salesforce acknowledges implementation challenges. "People don't spend enough time thinking about dead ends or negative instructions," Seaman noted about common issues with agent deployment. "It's just as important to give topics and instructions as it is to give instructions on what to do if it doesn't know what to do." Security and privacy concerns also remain paramount, particularly in regulated industries like healthcare. "We apply the same sharing and security model to agents that we do to humans," explained Khanna. "When we send data to LLMs, we remove all protected health information, then replace those tags with actual names before presenting to the user." Salesforce's vision suggests that by 2026, many companies will operate with a combined human and digital workforce, with autonomous agents handling an increasing share of routine operations while humans focus on higher-value activities. The Agentforce 2dx platform will be generally available in April 2025, with some features releasing earlier, starting today. The Agentforce Developer Edition and AgentExchange are available immediately.

Salesforce Unveils Agentforce 2dx: AI Agents That Work Beyond Chatbots - Salesforce (NYSE:CRM)

Salesforce, Inc. CRM introduced Agentforce 2dx, which is the latest version of its digital labor platform designed to integrate autonomous AI agents into business operations. This update moves beyond traditional chat interfaces, enabling AI agents to work proactively in the background without continuous human supervision. Agentforce 2dx introduces new low-code and pro-code tools, enabling Salesforce developers to efficiently configure, test, and deploy AI agents. These tools come with advanced analytics for real-time monitoring, debugging, and optimization. Salesforce has launched the free Agentforce Developer Edition, allowing developers to prototype AI agents and explore Data Cloud, its hyperscale data engine. Adam Evans, EVP and GM of Salesforce's AI Platform, said, "By extending digital labor beyond CRM, we're making it easier than ever for businesses to embed agentic AI into any workflow or application to handle routine tasks, augment employees, and connect with customers." "With deep integrations across Salesforce's digital labor platform, CIOs, IT leaders, and developers can seamlessly build agents and automate work wherever it happens, driving efficiency, fueling innovation, and unlocking new opportunities in the $6 trillion digital labor market." Yesterday, the company introduced AgentExchange, which is a marketplace and community integrated within Salesforce. AgentExchange streamlines AI agent deployment with a library of ready-to-use templates and actions while allowing partners to monetize their components. Launching with over 200 partners and hundreds of pre-vetted actions, the platform ensures security and customer-reviewed solutions for seamless AI integration across industries. Investors can gain exposure to the stock via iShares Expanded Tech-Software Sector ETF IGV and REX FANG & Innovation Equity Premium Income ETF FEPI. Price Action: CRM shares are down 0.47% at $285.98 at the last check Wednesday. Read Next: Investors Shouldn't 'Run To The Hills' Over Tariffs: Dan Ives Points To 8 AI Stocks 'To Own' Image via Shutterstock. CRMSalesforce Inc$286.33-0.35%OverviewFEPIREX FANG & Innovation Equity Premium Income ETF$44.02-0.51%IGViShares Expanded Tech-Software Sector ETF$94.95-0.51% This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs

TDX25 - Salesforce launches AgentExchange to bring partners into Agentforce

Salesforce is rolling out its AI agent strategy to ISV partners with today's launch of AgentExchange, the agent equivalent of its longstanding AppExchange marketplace for third-party applications that work with its platform. The news is timed to coincide with its annual developer conference, TDX 2025, which opens later today in San Francisco. AgentExchange launches with more than 200 partners on board, including leading names such as Google Cloud, Docusign and Box, as well as a long tail of other names that will be familiar from the Salesforce ecosystem, and several industry-specific offerings. Rather than apps or complete agents, most of the components available in the marketplace are pre-built actions, prompts, topics, and templates, which developers can add to AI agents that they are building on Salesforce's Agentforce platform. Expect to hear much more about Agentforce in the next couple of days, as Salesforce wants developers and admins -- traditionally known as Trailblazers, which is what the 'T' in TDX stands for, but this year celebrated as 'Agentblazers' -- to embrace and adopt Agentforce as their primary platform for AI-powered automation, or 'digital labor' as Salesforce likes to call it. Salesforce sees AgentExchange fulfilling a similar role in turbocharging agent adoption as its AppExchange platform played in the rise of cloud and SaaS. In a pre-briefing ahead of today's news, here's how Alice Steinglass, EVP and GM, Salesforce Platform, teed up the announcement: AgentExchange opens up new opportunities for partners and AgentBlazers to participate in this multi-trillion-dollar AI economy... It means that our customers can get started quickly with a pre-built library of agents and partner actions -- actions and partners like Docusign, who is building actions that will seamlessly generate documents, route them for signatures, track their status and automate key workflows; or Box, who is enabling Agentforce customers to seamlessly interact with the content that they store today in Box. And that's just the beginning. With hundreds of agent actions from over 200 partners, AgentExchange is going to create new revenue streams and fuel the next generation of businesses. Further partner examples cited in the announcement include: Even the likes of SAP and Oracle -- while perhaps not as closely favored as Workday -- will be welcome in AgentExchange ecosystem, as Steinglass explained: These sorts of partners can actually provide integrations at multiple different levels. We see integrations of the data layer, and this is about being able to use and access my data, that's in SAP or Oracle or Workday, and bring that data in so that the agent has access to the right data to be able to take the right kind of action. And then at another layer, they're able to interact and create integrations at the agent layer, at the action layer, for skills, or for entire agents. Customers can search for components in the AgentExchange marketplace or from within Salesforce's Agent Builder tool. Everything listed has undergone "rigorous security reviews," says Salesforce, although it hasn't yet specified what these reviews entail. The vendor will also closely monitor customer feedback as a further way means of ensuring ongoing customer trust in the marketplace. There are four types of component that partners can build and offer on AgentExchange, with most available today, while templates will become available from April: Expect to hear more about Agentforce and how partners and developers should work with the platform over the next few days as TDX runs. One theme that's likely to recur is Salesforce's positioning of Agentforce as a complete platform for agentic AI. Here's how Steinglass set out its stall: An LLM alone is not a platform or an application to get work done. An LLM needs context. It needs to be able to understand all the different kinds of data that flow through an organization, the structured data, the unstructured data, as well as the metadata and the semantic data. You need to be able to trust the AI. That means we need to understand permissions and respect guardrails, and our enterprise customers need to stay compliant with their solutions. The AI itself is also not just an LLM. We need to make sure the AI is connected to the right data with RAG -- Retrieval Augmented Generation -- and we can reason and iterate around the LLM results. And even if you have all of that, your agent is just a Q&A bot. The real power of agents comes when they can take action. We need them to be able to take action autonomously across applications and systems, and ideally, this happens on one platform so developers don't need to stitch all of these different capabilities together. And it's critical that this is an open platform so we can avoid vendor lock-in and take advantage of all of that new and different technology that's coming out every day. The launch of a partner ecosystem for Agentforce was only a matter of time and it makes sense to introduce it on the eve of TDX, giving partners in attendance a showcase for their initial wares. But whereas AppExchange was a marketplace for complete standalone apps -- albeit either native on or connected to the Salesforce platform -- it's interesting that AgentExchange is more of a component marketplace, offering capabilities and skills rather than full role-based agents, which Salesforce still expects customers and partners to build on the Agentforce platform. But don't worry, it's an open platform, so there's no vendor lock-in! It will be interesting to see how AgentExchange evolves and whether later on it will mature to become a resource for finding complete role-based agents alongside today's components and templates.

Salesforce Launches Agentforce 2dx with New Capabilities to Embed Proactive Agentic AI into Any Workflow, Create Multimodal Experiences, and Extend Digital Labor Throughout the Enterprise

Agentforce 2dx enables Agentforce to engage proactively, be triggered on changes in data, operate autonomously in the background of any business process, and interact with users across any user interface with rich content and media New low-code and pro-code tools empower admins and developers to confidently configure, test, and deploy Agentforce faster with AI-powered assistance AgentExchange, the trusted Agentforce marketplace built into Salesforce, will accelerate the deployment of AI agents with ready-to-use partner and community-built actions and agents Customers such as The Adecco Group, Engine, OpenTable, Oregon Humane Society, Precina, and Vivint have adopted Agentforce, transforming how their businesses run with digital labor Salesforce (NYSE: CRM), the #1 AI CRM, today announced Agentforce 2dx, the newest version of Agentforce, its digital labor platform for bringing trusted, autonomous AI agents into the flow of work. In this release, Agentforce is expanding beyond the reactive, user-initiated world of chat interfaces and enabling proactive AI agents to work behind the scenes, without constant human oversight, to unlock new customer and employee workflows of any kind. Organizations can now seamlessly integrate autonomous agents into their existing data systems, business logic, and user interfaces, enabling agents to anticipate business needs and dynamically take action -- improving efficiency, agility, and scale. Agentforce 2dx also marks the release of a new set of low-code and pro-code tools for Salesforce developers to confidently configure, test, and deploy Agentforce faster, paired with advanced analytics to help teams monitor, debug, and optimize agent performance with real-time data and guidance. To experiment with these tools, Salesforce now offers the Agentforce Developer Edition, a completely free environment where developers can prototype agents using Agentforce and also explore the capabilities of Data Cloud, Salesforce's hyperscale data engine. Additionally, Salesforce announced AgentExchange, the trusted marketplace and community for Agentforce that is built into Salesforce, opening up new opportunities for partners to participate in the rapidly expanding $6 trillion digital labor market opportunity. AgentExchange will accelerate Agentforce deployments with a library of ready-to-use templates and actions, saving businesses time and resources while enabling partners to list their components for sale and capture their share of the growing AI agent market. AgentExchange launches with more than 200 initial partners and hundreds of ready-made actions -- each having passed a rigorous security review and backed by customer reviews -- to quickly create and deploy AI agents across multiple professions and industries. Agentforce 2dx, paired with the new developer tools and AgentExchange, launches with the Agentblazer community, an inclusive group for Salesforce admins, developers, CTOs, CIOs, and other IT leaders who can share best practices and learn skills on Trailhead to create agent-first companies. "Companies today have more work than workers, and Agentforce is stepping in to fill the gap. By extending digital labor beyond CRM, we're making it easier than ever for businesses to embed agentic AI into any workflow or application to handle routine tasks, augment employees, and connect with customers. With deep integrations across Salesforce's digital labor platform, CIOs, IT leaders, and developers can seamlessly build agents and automate work wherever it happens, driving efficiency, fueling innovation, and unlocking new opportunities in the $6 trillion digital labor market." - Adam Evans, EVP and GM of Salesforce's AI Platform Why it matters: 96% of developers believe AI agents will positively reshape the developer experience. Agentic AI represents the next evolution of automation, where AI-driven agents operate independently to execute tasks, make decisions, and optimize workflows without constant human oversight. Unlike traditional AI chatbots, which require manual prompts or rigid programming, agentic AI dynamically responds to live data and evolving business needs. Salesforce's latest agentic AI enhancements represent a major leap in how organizations integrate agents into daily operations. By embedding AI seamlessly into apps, workflows, and processes, enterprise-ready AI agents won't just assist -- they'll act. "OpenTable is partnering with Salesforce's Agentforce Platform to help OpenTable's customer service agents better serve our restaurants and diners. Three weeks in, it is handling 73% of all restaurant web queries. This is a 50% improvement from our previous tool and we expect this number to further increase once Agentforce is launched to the general audience." -- George Pokorny, Senior VP of Global Customer Success at OpenTable What's new Orchestrate Agentforce across any experience or system Deploying autonomous agents for every customer and employee interaction used to require a complex implementation strategy. Now, admins and developers have even more capabilities to embed Agentforce anywhere and tailor for every use case with new tools like: Agentforce API: Integrate Agentforce in back-end processes, other systems, and directly into applications with the new Agentforce API. For example, customers can trigger an agent when an ERP order is created or kick off a loan application process automation to verify whether documents have the required information. Agentforce Invocable Actions: Agentforce can now be embedded within Salesforce business logic, like Flow and Apex. This allows customers to blend classic workflow automation with agentic reasoning. For example, customers can trigger an agent when an opportunity moves to a certain stage to reason over the best next steps, and kick off email updates or approvals accordingly. MuleSoft for Agentforce: MuleSoft Topic Center allows developers to use natural language to create Agentforce topics and actions from MuleSoft APIs. The MuleSoft API Catalog simplifies AI agent development by centralizing access to diverse APIs from MuleSoft, Salesforce, and Heroku within Agentforce. It provides a secure, governed hub for admins to quickly expand agent capabilities with pre-built topics and actions from across their ecosystems. The MuleSoft Agentforce connector allows developers to integrate Agentforce into existing workflows, enabling APIs and integrations to trigger agents for data enrichment and action execution across systems. Agentforce Steps in Slack Workflow Builder: Enables developers to embed Agentforce into no- code automations in Slack. Trigger Agentforce from Slack events, and pass Slack conversational context back to Agentforce without needing to rely on user-initiated action. Agentforce Employee Template: Easily deploy Agentforce for employee use cases across Slack and Salesforce with a new Agentforce template. Agentforce Employee Template allows customers to create multiple employee agents that can be configured and deployed across any line of business. Agentforce Surfaces: Intelligently deliver rich content within Agentforce across all Digital Engagement channels. Intelligently add dynamic, interactive components and media that are channel and device specific to better customize how Agentforce shows up across channels. Agentforce Cards: Embed Lightning web components within the response of Agentforce actions. Reuse existing Salesforce components to give more context, information, and functionality to Agentforce. Tableau Semantics: Create clear and organized data structures - semantic models -- that Agentforce can take advantage of. Tableau enriches agents with real-time business context, so they can provide more accurate insights and answers. Confidently configure, test, and deploy with new tools Agentforce includes new pro-code and low-code tools to help admins and developers ideate, build, deploy, and supervise their Agentforce across their organization. These tools are part of the deeply unified Salesforce Platform, so they are fully integrated into the workflows developers use every day, like DevOps Center and the Command Line Interface (CLI). Agentforce Developer Edition: A new free environment for accessing Agentforce and Data Cloud to get started on prototyping first use cases. Agentforce Developer Edition includes 10GB of access to Data Cloud, and 150 LLM generations per hour. AI assistance in Agent Builder: Teams can now put Agentforce into production faster and with more confidence with AI-powered topic and instruction creation to help quickly configure agents that adhere to best practices. AI Assist also helps teams troubleshoot answers that Agentforce provides and give guidance on how to improve the underlying topic and instructions. Testing Center: Teams can easily test their Agentforce configurations at scale using AI. And they can automatically generate and run test cases in Testing Center in their Salesforce Sandbox. Teams can also evaluate how well Agentforce configurations are adhering to guardrails like faithfulness or context relevance. CLI and VS Code Support: Developers can now create, update, and test Agentforce configurations using the CLI and VS code. All aspects of Agentforce configurations can be created and updated with pro-code tools, and test cases can be run against these configurations. DX Inspector: Explore and understand all of the metadata and data used by Agentforce, including agent topics and actions, inside your Salesforce Sandbox. Easily make and track changes to the metadata while configuring agents in Agent Builder through the side panel. Agentforce Interaction Explorer: Detailed reporting and analytics about how Agentforce is performing, from general trends down to individual session tracing. Understand each user request, the reasoning steps associated with the response, and see AI-powered recommendations to help continuously refine topics and instructions to improve agent performance. Analyst perspectives Agentic AI promises to deliver exponential benefits from AI by automating complex tasks and interactions without human intervention. However, creating agentic AI that can handle complex tasks with acceptable performance has been a challenge. Industry analyst Valoir found using a platform optimized for agentic AI development like Salesforce Agentforce enables organizations to deliver autonomous AI agents an average of 16 times faster than other approaches while increasing accuracy by 75%. Futurum Research found organizations using Agentforce can achieve ROI up to five times faster and with at least a 20% lower total cost of ownership, enabling them to outpace competitors and streamline operations at scale. Companies using Agentforce have reported 40% faster case resolution times and 25% higher lead conversion rates, directly affecting revenue and customer retention. "89% of CIOs identify AI and automation as critical to their digital strategy in 2025, yet 60% of AI projects fail to deliver clear ROI. Agentforce bridges this gap with pre-built workflows that deliver measurable impact fast. While DIY agent-based AI projects can take up to a year to implement, Agentforce customers go live in just 4-6 weeks, realizing value 3-4 times faster. As AI agents become embedded across business operations, from engineering to go-to-market, they will fundamentally reshape how teams engage with customers and partners. Instead of siloed interactions across CRM, support platforms, and marketing tools, AI agents can coordinate responses, escalate issues, and optimize workflows in real time. Companies that harness this shift -- especially in their partner ecosystems -- will gain a competitive edge in both performance and market reach." - Dion Hinchcliffe, VP and Practice Lead, CIO Insights, Futurum Group Customers realize immediate value Adecco Group, the world's leading talent company, is harnessing the power of Data Cloud and Agentforce to create a deeply unified platform that redefines the recruitment landscape. By centralizing more than 40 instances of their data using MuleSoft and Data Cloud, Adecco will streamline operations and enhance efficiency. "Agentforce is completely transforming our recruitment process. By automating resume screening and using AI to engage with millions of candidates, we can connect with every applicant and make sure they feel valued and informed. This not only improves the experience for candidates but also frees up our recruiters to focus on building meaningful relationships, all while boosting our efficiency and scalability." -- Greg Shewmaker, Senior Vice President of Global Operations and AI at The Adecco Group Engine, the modern travel platform for business trips and events, aims to achieve nearly $1.9 million in total annualized benefits, shorten average handle time for cancellation requests and email responses by 15%, and manage up to 30% of incoming customer inquiries with agents. "With Agentforce, we've built multiple AI agents that power various parts of our business, addressing every stage of the customer lifecycle. By managing a significant portion of incoming customer inquiries, Agentforce serves as a vital digital labor platform that enhances our customer service workforce. The AI agents handle cancellation requests end-to-end without needing human escalation, using CRM data to provide accurate responses. This streamlines our operations and allows our teams to focus on high volumes of FAQs across chat, email, and phone calls." -- Elia Wallen, Founder and CEO at Engine Precina, a company transforming healthcare for patients with type 2 diabetes, is using Agentforce to tap into Salesforce's deeply unified platform to instantly access their medical records, lab results, and prescription history. "Agentforce has completely transformed the way we support both patients and providers. By automating contracting and providing AI-driven coaching, our providers can spend less time on administrative tasks and more time delivering the care that truly makes a difference. This shift not only enhances patient support but also will help us save an estimated $80,000 each year for every 5,000 patients in reduced administrative overhead." -- John Oberg, Founder & CEO at Precina Oregon Humane Society, the largest animal welfare organization in the Northwest, is using MuleSoft to streamline their operations, from automating animal meet-and-greet scheduling and donation processes to connecting various systems and apps. By integrating data across their organization, Oregon Humane Society is able to get better insights for fundraising and marketing, reduce manual effort, and save significant time and resources. "As an early adopter, we leveraged MuleSoft to seamlessly connect Salesforce and NetSuite. This automated process for auditing and tracking closed opportunities against daily online donations has drastically reduced manual effort and significantly saved time." - Andrew Shanks, Salesforce Solution Architect at Oregon Humane Society Vivint, a leading provider of smart home and security solutions, is transforming customer service with Agentforce, harnessing the power of AI to deliver seamless and efficient support for its expanding smart home customer base. By integrating Agentforce, the company can automate tasks to help customers answer common questions and support specialists on complex cases, leading to faster resolutions and a more streamlined and personalized customer experience. "Agentforce has given Vivint an opportunity to transform the way we interact with our customers. Its ability to automate intricate tasks helps our customers get support around the clock and empowers our specialists to focus on delivering a smarter, more seamless customer experience." - Ryan Gee, Senior Vice President, Engineering at Vivint Availability The full release of Agentforce 2dx will be generally available in April 2025, with specific features being released in advance beginning today. AgentExchange is available today at Salesforce.com. Agentforce Developer Edition is available today at salesforce.com/signup. Agent Builder with AI assist will be available in March 2025 and will be included with Testing Center Enhancements for evaluating guardrails will be available in April 2025 and will be included with Agentforce. Agentforce Employee Agent will be available in April 2025 and will be included with MuleSoft for Agentforce is available now, Topic Center is included with every Anypoint license, and API Catalog is included with Salesforce and requires MuleSoft to access the MuleSoft API. Agentforce Invocable Actions are generally available Agentforce API is generally available DX Inspector is generally available Agentforce Interaction Explorer will be available in the Fall of Learn More: Learn about the new AgentExchange marketplace and community Get details on how an expanded Salesforce-Google partnership will give businesses more AI model and capability choices Read what Futurum Research and Valoir are saying about Agentforce DIY approaches Check out how customers like 1-800Accountant, Precina, and Unity Environmental University are becoming more efficient and improving outcomes with Agentforce Learn about Agentforce for Health -- agentic skills and actions for healthcare pros Understand how AI agents will become the new UI with apps taking a back seat Find out how ambient agents, operating behind the scenes, will autonomously reshape how businesses operate and innovate Discover why AI models matter less than having a deeply unified platform Understand why 92% of developers believe AI agents will advance their careers Read why metadata is key to building a massive AI agent ecosystem Learn more about the new Salesforce Developer Edition now with Agentforce and Data Cloud About Salesforce: Salesforce helps organizations of any size reimagine their business with AI. Agentforce -- the first digital labor solution for enterprises -- seamlessly integrates with Customer 360 applications, Data Cloud, and Einstein AI to create a limitless workforce, bringing humans and agents together to deliver customer success on a single, trusted platform. Visit www.salesforce.com for more information.

Salesforce Launches AI Agents Marketplace

DIY AI 'clearly is not working for lots of people,' Salesforce EVP Brian Landsman tells CRN. Salesforce has launched a new marketplace for its Agentforce AI platform that should allow partners to build and monetize agentic artificial intelligence components. The marketplace, AgentExchange, is billed as accelerating AI agent deployment with a library of templates and add-ons meant to save users time and resources, according to the San Francisco-based enterprise applications vendor. The marketplace launches with more than 200 initial partners and hundreds of actions. Salesforce announced the marketplace ahead of its TDX developer conference, which runs through Thursday in San Francisco. Brian Landsman, Salesforce's executive vice president and general manager of global business development and partnerships, told CRN in an interview that AgentExchange builds on the foundation of Salesforce's AppExchange marketplace-now about 20 years old with more than 7,000 partners, 9,000 listings and 13 million app installs to date. "We want to focus on the ability to bring third-party offerings direct ro users to be able to build these agents on a platform that does a lot of the work that you would otherwise have to go DIY, (do it yourself), which clearly is not working for lots of people," said Landsman, referring to a common criticism Salesforce has lobbed at rival AI vendors, notably Microsoft. "It's not working for lots of customers. It's certainly not working for lots of partners," he added. [RELATED: Salesforce Q4 2025 Earnings: CEO Benioff Dismisses Threat To SaaS From Agentic AI] Salesforce and Microsoft executives have battled publicly over which vendor brings the better AI offer for customers, with Salesforce CEO and co-founder Marc Benioff dismissing wares from Microsoft and other rivals as "false agents" and Microsoft CEO Satya Nadella suggesting that humans may not need to interact with software-as-a-service (SaaS) platforms such as Salesforce in the agentic era. Allen Mann, director of the AI Innovation Hub at Salesforce partner Slalom-No. 27 on CRN's 2024 Solution Provider 500-told CRN in an interview that his company is one of the few global system integrators chosen to be part of Salesforce's Agentforce Partner Network. Slalom has been building up its agentic AI expertise for about 24 months, creating "a really meaningful and impactful way for Slalom to show that expertise as industry-focused consultants that can help bring real, pragmatic, agentic solutions to our clients that institutionalize the needs that they have," Mann said. Slalom has been doing events for customers to learn more about how to use agents to transform their organizations, talking to hundreds of customers a week. Mann hired up his team to number about 25 people to meet new demand. "Us being able to build things as a trusted partner in that way and show up to our clients with our level of industry expertise is key," Mann said. The AgentExchange helps bring enterprise-level trust to the agent era, Alice Steinglass, Salesforce's executive vice president and general manager for developer experience and AppExchange, told CRN in an interview. AI large language models (LLMs) "are fun-everybody can play with them," Steinglass said. "The challenge is, how do I take that LLM and connect it to my data in a way that's secure and govern, where I have the right controls and permissions, and when that agent is using the data, they can access all the right data and only the right data. And I don't want to set that up with 5,000 agents separately." All actions have passed a security review are backed by customer reviews, according to Salesforce. AgentExchange allows partners to sell four types of agentic building blocks. Actions are the jobs Agentforce agents can do, with flows and prompts allowing for industry-specific component tailoring. Topics focus and refine agent behavior, grouping actions and instruction around one task or job so that the agent follows guardrails and delivers consistent results. Another building block is prompt templates, which leverage pre-written, reusable prompts for consistent interactions. These templates help agents gather information, assist users and achieve specific goals. The fourth building block, agent templates, combines multiple topics and leverages partner-created actions to deliver an AI solution, with metadata and global instructions spanning topics, according to Salesforce.

Salesforce Launches AgentExchange: the Trusted Marketplace for Agentforce

AgentExchange empowers partners, developers, and the Agentblazer community to build and monetize agentic AI components, fueling the next generation of businesses in the $6 trillion digital labor market AgentExchange includes more than 200 partners, including Google Cloud, Docusign, and Box, building trusted Agentforce solutions that businesses can use to rapidly build AI agents Developers can discover, try, and buy hundreds of prebuilt partner actions, topics, and templates on the marketplace or surfaced directly within Salesforce's agent building tools Salesforce today launched AgentExchange, the trusted marketplace and community for Agentforce that is built into Salesforce, opening up new opportunities for partners, developers, and Agentblazers to participate in the rapidly expanding $6 trillion digital labor market. Building on the success of Salesforce AppExchange -- the first and world's largest enterprise cloud marketplace, which has grown to more than 13 million app installs -- AgentExchange expands the capabilities and ecosystem of Agentforce, Salesforce's digital labor platform. AgentExchange launches with more than 200 initial partners and hundreds of ready-made actions, topics, and templates that have passed rigorous security and customer reviews. Combined, these solutions will help organizations quickly create and deploy AI agents to improve productivity, efficiency, and innovation in any profession or industry. "Accelerating our speed of execution is critical to Goodyear's ability to deliver for our customers and maximize our end-to-end value proposition. We're excited about the potential of the ready-to-use solutions from AgentExchange to enhance our speed, efficiency, and customer experience," shared Goodyear CEO and President Mark Stewart. Partners are already building Agentforce components for AgentExchange. For example: Google Cloud: Build Agentforce agents, grounded in Google Search via Vertex AI and with the ability to reference up-to-the-minute data, news, and current events. Box: Enable Agentforce agents to extract insights from unstructured data and power actions with that information, using natural language to interact with content in Box. Docusign: Generate agreements, route for signatures, track status, and gain key insights -- automating workflows and boosting efficiency. Workday: Streamline critical employee self-service workflows such as onboarding, benefits management, and career development, freeing up HR teams and significantly enhancing the employee experience. "When we launched AppExchange in 2005, it helped our customers get even more value from our platform with prebuilt apps, workflows, and integrations. It also gave our partners an opportunity to participate in the emerging cloud economy and build thriving businesses," said Brian Landsman, EVP & GM, Global Business Development & Partnerships at Salesforce. "With AgentExchange, we're doing much the same -- opening up Agentforce for partners, startups, and Agentblazers to participate in the digital labor market and build agentic AI on Salesforce." "AgentExchange empowers customers to seamlessly integrate trusted AI solutions within their workflow," said Alice Steinglass, EVP & GM of Platform, Integration and Automation at Salesforce. "Now our developer community can directly tap the expertise of our partner ecosystem to get the right industry-specific solutions so they can build and implement AI agents, and be the pioneers turning their businesses into Agentforce companies." New AgentExchange and Agentforce features include: New partner-built components: Partners and Agentblazers can now offer four types of agentic components: Actions: Expand the jobs agents built with Agentforce can do by adding new integrations -- ranging from Apex, flows, APIs, and prompts -- to tailor industry-specific components. Prompt templates: Use pre-written, reusable prompts that ensure consistent interactions and help agents gather information, assist users, and achieve specific goals. Topics: Focus and refine agent behavior by grouping actions and instructions around a single task or job. This helps to ensure agents deliver consistent results and stay within guardrails. Agent templates: Deliver comprehensive AI solutions by combining multiple topics and using the powerful actions partners have created, complete with metadata and global instructions that span across topics. Easily discover, try, and buy AI solutions: AgentExchange simplifies the process of finding and deploying the right trusted AI solutions. Customers can explore AgentExchange solutions directly on the marketplace or within Salesforce's Agent Builder tool to identify the right solutions for their use case, product, or industry. Use standard and Slack actions: Partners and Agentblazers can now offer out-of-the-box Agentforce actions, including Slack, in packaged Agentforce topics and templates on the AgentExchange. These actions empower partner-delivered agents with built-in CRM and Slack capabilities, such as creating a case, canceling an order, updating a Slack canvas, searching Slack, or sending direct messages. Access trusted, industry-specific agent solutions: AgentExchange connects businesses with Salesforce partners who have deep expertise in specific industries. Businesses can implement pre-built, customizable solutions that address unique challenges, accelerating AI adoption and maximizing its impact. Rigorous security reviews and customer feedback ensure trust in every solution listed on AgentExchange. Collaborate and innovate with Agentblazers: AgentExchange fosters a collaborative ecosystem where businesses, partners, and individual Agentblazers can connect, share best practices, and innovate together, accelerating the adoption of agentic AI. "AgentExchange unlocks new technology and markets for Docusign, expanding our reach and impact. We've worked closely with Salesforce to develop agent actions to seamlessly integrate them into our customers' workflows. Our sales and service customers will now be able to leverage Agentforce and Docusign to automate common agreement-related tasks without the complexity of developing their own proprietary agentic technology," said Larry Jin, VP Product Management, Docusign. AgentExchange solutions Partners who have AgentExchange listings or are actively developing Agentforce components include: Sales & service Appiphony: Offers document generation fully integrated with Agentforce. Bucher + Suter: Enables seamless escalation from agent to human within Agentforce, preserving context for smooth transitions. Docusign: Generates documents, routes for signature, and tracks doc and signature status. Highspot: Provides Agentforce users with curated sales content and AI-powered analytics to increase buyer engagement and close more deals. Neuron 7: Directs enterprise service teams through optimal resolution paths for swift, accurate problem-solving. SalesWings: Integrates customer intent data to enhance prospect engagement and sales performance. Seismic: Delivers AI-powered personalized content at scale from Salesforce, ensuring the right content for every opportunity stage and accelerating sales. Finance, operations, and talent Asymbl: Offers AI-powered recruiting solutions to streamline talent workflows. Bullhorn: Recruitment Cloud Agents leverage over 90 actions to accelerate the entire recruiting lifecycle, improving key processes such as candidate matching, talent engagement, and hiring recommendations. Certinia: Enables managers to monitor a client's health score, diagnose potential issues, and recommend remedies to customer issues. FinDoc: Integrates payment and CRM data, empowering payment agents. InvestorFlow: Simplifies prospect targeting and opportunity aggregation for financial deals. OpenText: Automates document management, reducing storage costs and errors, for better efficiency and management. Productivity and collaboration Box: Enables Agentforce agents to extract insights from unstructured data and power actions with that information, using natural language to interact with content in Box. CloudCrossing: Generates documents and launches digital signatures via agent actions. Copado: Streamlines entire Salesforce DevOps process with intelligent automation for user story creation, release management, and deployment troubleshooting. Formstack: Empowers agents to deliver 'formless' data collection, elevating customer interactions. GoMeddo: Provides AI-driven scheduling and booking within Salesforce, optimizing appointment management. Hubbl: Empowers agents with Hubbl Process Analytics and suggests best practices. MemberVerse: Streamlines operations with advanced workflow actions. Moody's: Creates research reports based on accounts and opportunities. Practivo: Enables natural language scheduling for appointments and resources, simplifying scheduling processes. SharinPix: Enables agents to search, view, and manage photos using content and metadata. TaskRay: Streamlines project management and task workflows with an AI assistant, improving team productivity and organization. Zenkraft: Empowers agents to provide seamless shipping, tracking, and returns support, leading to fewer customer inquiries and a more positive experience. Industry-specific solutions Healthcare & Life Sciences ComplianceQuest: Automates audit observations for regulatory compliance, ensuring adherence to industry standards. DemandFarm: Automates account plan creation, provides sales recommendations, and streamlines account research. Manufacturing Arpedio: Offers account insights, opportunity tracking, and sales suggestions for improved sales performance in manufacturing. Propel: Streamlines workflows by summarizing records, automating training, and enabling bulk item creation. Retail & Hospitality Thynk: Automates proposal generation by centralizing key data points, like guest room availability and meeting space. Vicasso: Enables surveys within Salesforce Messaging for real-time customer feedback and engagement. Education iSchoolConnect: Leverage AI actions to automate student enrollment. Visit AgentExchange and explore the Agentforce partner solutions available today on AgentExchange.Salesforce.com. Availability AgentExchange is available today at AgentExchange.Salesforce.com. Packaging and Listing of Prompt Templates and Topics is available today. Packaging and Listing of Agent Templates will be available in April 2025. Learn more: Visit AgentExchange Become an Agentblazer Learn more about the Agentforce Partner Network Watch the TDX keynote About Salesforce: Salesforce helps organizations of any size reimagine their business with AI. Agentforce -- the first digital labor solution for enterprises -- seamlessly integrates with Customer 360 applications, Data Cloud, and Einstein AI to create a limitless workforce, bringing humans and agents together to deliver customer success on a single, trusted platform. Visit www.salesforce.com for more information.

Salesforce Launches AgentExchange Marketplace for AI Agents

AgentExchange includes over 200 partners, such as Google Cloud, Docusign, and Box, providing prebuilt solutions for AI agents. Salesforce on Tuesday launched AgentExchange, a marketplace for Agentforce, allowing partners, developers, and the Agentblazer community to build and monetise AI components. The platform supports businesses in the $6 trillion digital labour market. AgentExchange includes over 200 partners, such as Google Cloud, Docusign, and Box, providing prebuilt solutions for AI agents. Businesses can discover, test, and purchase prebuilt actions, topics, and templates on the marketplace or within Salesforce's agent-building tools. AgentExchange is now live at AgentExchange.Salesforce.com. Prompt templates and topics can be listed and packaged immediately, while agent templates will be available for listing in April 2025. AgentExchange builds on Salesforce's AppExchange, which has facilitated over 13 million app installations. The new platform offers rigorously reviewed agent components that improve efficiency and automation across industries. Mark Stewart, CEO of Goodyear, highlighted the potential benefits of the platform. "Accelerating our speed of execution is critical to Goodyear's ability to deliver for our customers and maximise our end-to-end value proposition. We're excited about the potential of the ready-to-use solutions from AgentExchange to enhance our speed, efficiency, and customer experience," said Stewart Several partners have developed AI solutions for AgentExchange. Google Cloud builds Agentforce agents leveraging Google Search and Vertex AI to provide real-time data insights. Box enables AI agents to extract insights from unstructured data using natural language processing. Docusign facilitates agreement generation, signature routing, and status tracking. Workday streamlines employee workflows, including onboarding and benefits management. Brian Landsman, EVP & GM, global business development & partnerships at Salesforce, compared the platform's role to AppExchange. "With AgentExchange, we're opening up Agentforce for partners, startups, and Agentblazers to participate in the digital labour market and build agentic AI on Salesforce." AgentExchange offers multiple agentic components. Actions are prebuilt integrations that expand AI agent capabilities. Prompt templates provide reusable prompts, ensuring consistent interactions. Topics group actions to refine agent behaviour, and agent templates deliver comprehensive solutions combining multiple components. Alice Steinglass, EVP & GM of platform, integration, and automation at Salesforce, emphasised the impact on businesses. "Now our developer community can directly tap the expertise of our partner ecosystem to get the right industry-specific solutions so they can build and implement AI agents." Salesforce recently partnered with Google, integrating Google's Gemini AI into Salesforce's Agentforce. This allows agents to process images, audio, and video, handle complex tasks with Gemini's multi-modal capabilities, and provide real-time insights using Google Search with Vertex AI.

Salesforce's AgentExchange launches with 200+ partners to automate your boring work tasks

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Salesforce has just unveiled a new marketplace called AgentExchange, creating what it describes as the first trusted marketplace for AI agents in enterprise software and positioning itself at the center of what it estimates will be a $6 trillion "digital labor" market. The company's push into AI agents -- software that can perform complex tasks autonomously -- represents one of Silicon Valley's most ambitious attempts to transform how businesses operate. "We've seen great adoption across customers like ZoomInfo, Remarkable, and Mimit Health who are using Agentforce in Slack to boost productivity," said Rob Seaman, SVP of Product Management at Salesforce, in an exclusive interview with VentureBeat. The new marketplace launches with more than 200 partners, including Google Cloud, DocuSign, Box and Workday, who are building pre-packaged agent solutions that businesses can implement without extensive technical expertise. How Salesforce is turning AI agents from tech buzzwords into business tools While much of the attention around artificial intelligence has focused on text-generating tools like ChatGPT, Salesforce is betting that specialized AI agents will deliver more immediate business value. These agents don't just generate text -- they take actions within business systems. "If you look at the overall labor market, we don't actually have enough people to do the jobs we currently need them to do," Seaman explained. "This is a big transformation that will change many jobs, but it's providing more labor capacity into the system." The company's research suggests significant demand for automation of administrative tasks. Amit Khanna, SVP and GM for Salesforce Health, cited research showing that "around 87% of people in healthcare say they work late each day to finish up administrative tasks." Salesforce targets healthcare's administrative burden with specialized AI agents Healthcare presents a compelling use case for AI agents. The industry is administratively burdened, with clinicians spending significant time on documentation rather than patient care. Khanna outlined several healthcare-specific applications: "We are looking at three areas: patient access -- making appointments, finding providers, benefits verification; public health paperwork; and clinical trial matching." For patient privacy, Salesforce has implemented multiple safeguards. "When we send data to language models for summarization, we remove all protected health information first," Khanna explained. "It uses tags instead of names, generates a summary, and then replaces those tags with actual names before presenting to the user." Salesforce's no-code approach makes AI agent creation accessible to business teams A significant aspect of Salesforce's approach is lowering the technical barriers to creating AI agents. According to Seaman, what has surprised him most is "the speed of creation and iteration." "The number of people now that can create technology to solve problems has expanded greatly because it's based on topics and instructions written in natural language, not programming languages," Seaman said. This simplification could enable business users to create their own automation solutions without depending on technical teams. What early Salesforce customers have learned about deploying AI agents successfully Early adopters have discovered important considerations for effective AI agent deployment. Seaman noted that many organizations "don't spend enough time thinking about dead ends or negative instructions." "It's just as important to give topics and instructions as it is to provide guidance on what to do if the agent doesn't know how to proceed," he explained. Remarkable, one early adopter, has deployed an IT help desk agent that employees interact with directly in Slack. The agent handles routine tasks like password resets and helps new hires set up their equipment, while knowing when to involve human IT staff. Salesforce's vision for how AI agents will transform workplace roles and responsibilities As AI agents become more capable, questions about their impact on employment are inevitable. Seaman frames the technology not as a replacement for human workers but as a complement. "I don't think about it as replacing people. I think about it as augmenting them and helping them focus on the work that really matters," he said. In healthcare, Khanna believes AI agents will first tackle administrative tasks before gradually moving into clinical support roles. "The next wave will move toward the clinical side as doctors build trust in the technology," he predicted. The market for AI agents is still developing, but Salesforce is positioning itself as a platform company rather than trying to build every possible agent itself. With AgentExchange, it's creating an ecosystem where partners can build specialized agents for different industries. Whether businesses embrace these AI agents as essential productivity tools or view them as interesting but not yet critical technology remains to be seen. For now, Salesforce is betting that the future workplace includes both human employees and digital ones.

Salesforce Introduces AgentExchange to Empower Developers and Businesses With AI Agents

Workday: Streamline critical employee self-service workflows such as onboarding, benefits management, and career development, freeing up HR teams and significantly enhancing the employee experience. "When we launched AppExchange in 2005, it helped our customers get even more value from our platform with prebuilt apps, workflows, and integrations. It also gave our partners an opportunity to participate in the emerging cloud economy and build thriving businesses," said Brian Landsman, EVP & GM, Global Business Development & Partnerships at Salesforce. "With AgentExchange, we're doing much the same -- opening up Agentforce for partners, startups, and Agentblazers to participate in the digital labor market and build agentic AI on Salesforce."

Salesforce launches an AI agent skills marketplace with 200+ initial partners - SiliconANGLE

Salesforce launches an AI agent skills marketplace with 200+ initial partners Building on its ongoing focus on artificial intelligence agents, Salesforce Inc. announced today the launch of AgentExchange, a trusted marketplace that allows enterprise customers to expand the capabilities of Agentforce AI agents. Using Agentforce, companies can deploy highly customizable generative AI agents that operate autonomously, augmenting employee work. The platform enables developers to create AI "workers" that use business rules and prebuilt automation to perform tasks independently. With today's announcement, AgentExchange will build on the success of Salesforce's AppExchange, the company's existing app marketplace that has grown to more than 13 million app installations. Instead of apps, it will house skills and capabilities for AI agents and act as a marketplace for what the company calls "digital labor." AgentExchange launches with more than 200 initial partners and will contain hundreds of ready-made actions, topics and templates vetted by the company's staff through rigorous security and customer review. The solutions available will help organizations quickly deploy AI agents to improve productivity and efficiency. Partners adding their expertise and components to the exchange include such big names as cloud content management company Box Inc. and electronic signature company Docusign Inc. With Box, AI agents can extract insights from unstructured data and interact with data in Box using natural language. Agents using Docusign can generate documents and track signing authentication as well as signature status. "AgentExchange unlocks new technology and markets for Docusign, expanding our reach and impact," said Larry Jin, vice president of product management at Docusign. "We've worked closely with Salesforce to develop agent actions to seamlessly integrate them into our customers' workflows." Salesforce recently inked a $2.5 billion deal with Google Cloud to allow its users to access Google Gemini and other tools across its marketplace. Google's Gemini models will allow Agentforce AI agents to work with images, audio and video, handle more complex tasks and act using real-time insights as well as access Google Search. When using the built-in Agentforce agent builder, users will be able to use the exchange to search for specific actions tailored to their industry from integration partners, ranging from flows and prompts. Topics allow developers and business users to refine agent behavior further by grouping agent actions and instructions around a specific task or job. This lets them define business logic in natural language so the agent will deliver more consistent results - essentially a type of guardrail ensuring the agent stays on track. Partners can also provide pre-written reusable prompt templates that make interacting with agents easier. This is especially useful when there is a consistent way that agents gather information and a particular goal is achieved but a specific input is changed -- for example, a username, address or other information. Finally, agent templates allow customers to customize agents from a patterned concept that makes sense to them. They work by combining multiple topics and multiple agent skills, complete with metadata and global instructions for a particular industry, allowing users to deploy and tailor an agent quickly without needing to start from scratch.

AgentExchange: Salesforce's New AI Marketplace Targets $6 Trillion Digital Labor Market - Salesforce (NYSE:CRM)

Every week, our Whisper Index uncovers five overlooked stocks with big breakout potential. Get the latest picks today before they gain traction. On Tuesday, Salesforce, Inc. CRM introduced AgentExchange, which is a marketplace and community integrated within Salesforce. At launch, AgentExchange features over 200 partners and hundreds of pre-built actions, topics, and templates, all rigorously reviewed for security and customer standards. These solutions enable businesses to deploy AI agents efficiently, driving productivity, innovation, and operational effectiveness across industries. Building on the success of Salesforce AppExchange, AgentExchange enhances Agentforce, Salesforce's digital labor platform, by expanding its capabilities and ecosystem. This platform is expected to create new opportunities for partners, developers, and Agentblazers to engage in the rapidly growing $6 trillion digital labor market. Alice Steinglass, EVP & GM of Platform, Integration and Automation at Salesforce said, "Now our developer community can directly tap the expertise of our partner ecosystem to get the right industry-specific solutions so they can build and implement AI agents, and be the pioneers turning their businesses into Agentforce companies." Read: Salesforce & Google Supercharge AI: New Partnership Unlocks Next-Gen Business Automation In a separate release, Salesforce disclosed that 1-800Accountant is leveraging Agentforce to enhance customer support. Agentforce, Salesforce's digital labor solution, now enables 1-800Accountant's service teams to deliver seamless, 24/7 assistance. Ryan Teeples, Chief Technology Officer, 1-800Accountant, said, "With Agentforce now helping to resolve up to 50% of incoming requests, we can securely address responses to questions like tax return status, freeing our team to focus on more complex tasks while ensuring fast, secure, personalized support." Adam Evans, EVP and GM, Salesforce AI stated, "With Agentforce, they're able to implement new agentic AI solutions to make meaningful improvements to customer satisfaction while also improving the work experience for their dedicated customer representatives." Investors can gain exposure to the stock via iShares Expanded Tech-Software Sector ETF IGV and REX FANG & Innovation Equity Premium Income ETF FEPI. Price Action: CRM shares are down 2.56% at $285.56 at the last check Tuesday. Read Next: Salesforce's Shares Drop On Missed FY Guidance, Analyst Recommends Focus On Bookings Image via Shutterstock. CRMSalesforce Inc $283.32-3.32% Overview FEPIREX FANG & Innovation Equity Premium Income ETF $43.23-2.57% IGViShares Expanded Tech-Software Sector ETF $92.89-2.87% This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs

Salesforce launches AgentExchange

Salesforce (NYSE:CRM) has launched AgentExchange, a marketplace and community for Agentforce, the company said on Tuesday. AgentExchange empowers partners, developers, and the Agentblazer community to build and monetize agentic AI components, the company said. It includes more than 200 partners, including Google Cloud, Docusign, and Box. Source: Press Release More on Salesforce Salesforce Q4: Expect Growth Slowdown To Stabilize In FY2026 (Rating Upgrade) Salesforce Q4 Performance Suggests Investors Should Look Elsewhere Salesforce: Agentforce Provides The Company With The Keys To The Enterprise AI Kingdom