Latest news with #Agentforce3
Yahoo
02-07-2025
- Business
- Yahoo
Cantor Reaffirms Price Target as Salesforce Expands AI Agent Capabilities
Salesforce, Inc. (NYSE:CRM) ranks among the best FAANG stocks to buy according to hedge funds. On June 26, Cantor Fitzgerald reaffirmed its $325 price target and Overweight rating on Salesforce, Inc. (NYSE:CRM). The firm's update coincides with Salesforce's ongoing efforts to enhance its artificial intelligence capabilities by offering customers pre-built agent solutions. Pixabay/Public Domain These pre-built agents, according to Cantor Fitzgerald, are a calculated move to encourage Salesforce, Inc. (NYSE:CRM) users to embrace AI. In an analysis note, the firm explained further: 'These pre-built agents are yet another way to lower barriers and make AI Agent adoption as seamless and painless as possible for customers, while also removing friction from high-cost implementation schedules.' Additionally, Salesforce, Inc. (NYSE:CRM) recently launched Agentforce 3, an update to its digital labor platform that includes new tools, including a Command Center for AI agent monitoring. According to reports, this modification has significantly improved administrative chat interactions for early adopters and reduced customer case handle time by 15%. Salesforce, Inc. (NYSE:CRM) is a cloud-based software company focused on customer relationship management. The company offers custom software and solutions for various applications, such as analytics, marketing automation, and sales. While we acknowledge the potential of CRM as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. Read More: and Disclosure: None. Sign in to access your portfolio
Yahoo
27-06-2025
- Business
- Yahoo
Is Salesforce Stock a Buy, Sell, or Hold as Agentforce 3 Launches?
In today's artificial intelligence (AI) arena, agentic platforms are becoming the new operating systems for enterprise growth, and Salesforce (CRM) is not watching from the sidelines. The customer relationship management (CRM) giant is back in the spotlight as it has unveiled Agentforce 3, an upgraded version of its AI agent platform, designed to give enterprises greater control and visibility as adoption rapidly grows. The latest update introduces a new Command Center and support for the Model Context Protocol (MCP), enabling seamless integration with services like Amazon's (AMZN) Bedrock, Alphabet's (GOOGL) Google Cloud, PayPal (PYPL), and Box (BOX). Starting in July, Agentforce will support additional large language models, including Anthropic's Claude, with Google's Gemini to follow later in 2025 for more customizable AI solutions. Tesla's Robotaxis Reportedly Sped and Veered Into the Wrong Lanes. Does This Crush the Bull Case for TSLA Stock? Dear Micron Stock Fans, Mark Your Calendars for June 25 Up 93% in 2025, Palantir Stock Is Too Hot to Handle Here Get exclusive insights with the FREE Barchart Brief newsletter. Subscribe now for quick, incisive midday market analysis you won't find anywhere else. As Salesforce continues to double down on innovation, is now the moment to lean in, or should investors stay on the sidelines, buckled in for the next move? Incorporated in 1999, San Francisco-based Salesforce (CRM) is a leading global provider of cloud-based CRM software. Its market cap stands at $191.7 billion, reflecting its status as one of the most valuable enterprise software companies globally. With its comprehensive platform, innovative technology, and scalable business model, Salesforce remains at the forefront of enterprise digital transformation. Salesforce's shares have struggled in 2025, declining 19.9% on a YTD basis, largely due to investor worries over the timing and profitability of its ambitious AI push. Moreover, cautious enterprise spending amid macroeconomic uncertainty and competition from established cloud providers has contributed to the decline. Still, zoom out, and it's up 11% over the past 52 weeks, a reminder of its longer-term resilience. Salesforce kicked off its fiscal 2026, releasing a solid Q1 earnings report on May 28, generating $9.8 billion in revenue, up 8% year over year and edging past the Street's expectations. Subscription and support revenues mirrored this growth, also climbing 8%, while the company's remaining performance obligations stood at $29.6 billion, signaling solid future bookings. Profitability metrics were robust, with non-GAAP operating margin hitting 32.3%. Operating cash flow and free cash flow each rose 4% annually, totaling $6.5 billion and $6.3 billion, respectively. On the earnings front, non-GAAP EPS amounted to $2.58, up from $2.44 a year ago and exceeding projections. AI and data continued to power momentum as annual recurring revenue from Data Cloud and AI surpassed $1 billion, growing over 120% YoY, and nearly 60% of the top 100 deals included AI and Data Cloud solutions. The Agentforce platform has closed more than 8,000 deals since its introduction, of which half are paid, reflecting increasing traction. Buoyed by this performance, Salesforce's management raised fiscal 2026 revenue guidance to $41 billion to $41.3 billion range, and affirmed its non-GAAP operating margin target of 34%, as well as a 10% to 11% growth range in operating cash flow. The quarter showcased solid fundamentals, balanced growth, operational efficiency, and mounting AI-driven enterprise demand. Analysts remain optimistic on Salesforce, projecting its EPS to surge by 8.4% to around $8.55 for fiscal 2026, and grow by another 13.1% to $9.67 in fiscal 2027. CRM stock has a consensus 'Strong Buy' rating overall. Of the 49 analysts covering the stock, 35 advise a 'Strong Buy,' three suggest a 'Moderate Buy,' nine analysts are on the sidelines, giving it a 'Hold' rating, and two rate it as a 'Strong Sell.' The average analyst price target for CRM is $354.93, indicating potential upside of 30.9%. The Street-high target price of $440 suggests that the stock could rally as much as 62.3%. On the date of publication, Sristi Suman Jayaswal did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Sign in to access your portfolio
Zawya
26-06-2025
- Business
- Zawya
Salesforce launches Agentforce 3 to solve the biggest blockers to scaling AI agents: Visibility and control
New Agentforce Command Center provides a complete observability solution for optimizing AI agents — enabling leaders to manage, track, and scale how AI agent activity enhances human productivity Agentforce 3 enables seamless agent interoperability with built-in support for open standards like Model Context Protocol (MCP). Through the expanded AgentExchange, customers will be able to access plug-and-play services from over 30 partners including AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER, and more Agentforce 3 delivers an updated Atlas architecture — from reasoning, to performance, to trust — for unmatched enterprise readiness, including lower latency, greater accuracy, enhanced resiliency, and support for natively hosted LLMs such as Anthropic UAE - Salesforce (NYSE: CRM), the world's #1 AI CRM, has announced Agentforce 3: a major upgrade to its digital labor platform that gives companies the visibility and control to scale AI agents without compromise. As enterprise adoption accelerates, the real blocker has become clear: teams can't see what agents are doing — or evolve them fast enough. Agentforce 3 changes that. Built on learnings from thousands of Agentforce deployments since its initial launch in October 2024, Agentforce has helped customers deliver undeniable value. Agentforce 3 equips leaders to monitor, improve, and scale their AI workforce with confidence. With a new Command Center for complete observability, built-in support for Model Context Protocol (MCP) for plug-and-play interoperability, and over 100 new prebuilt industry actions to speed time to value, Agentforce 3 helps companies scale what works, fix what doesn't, and unlock the full potential of agentic AI — with clarity, control, and speed. Why it Matters: AI agent adoption is surging. According to a soon to be released Slack Workflow Index, AI agent usage is up 233% in six months, and over that same period, 8,000 customers have signed up to deploy Agentforce. But until now, agent platforms have lacked the tooling, governance, and observability needed to scale enterprise-wide. Agentforce 3 closes this gap — delivering the complete visibility, secure tool integration, and enterprise-grade controls organizations need to make agent velocity their competitive advantage. 'With Agentforce, we've unified agents, data, apps, and metadata to create a digital labor platform, helping thousands of companies realize the promise of agentic AI today,' said Adam Evans, EVP & GM of Salesforce AI. 'Over the past several months we've listened deeply to our customers and continued our rapid pace of technology innovation. The result is Agentforce 3, a major leap forward for our platform that brings greater intelligence, higher performance, and more trust and accountability to every Agentforce deployment. Agentforce 3 will redefine how humans and AI agents work together — driving breakthrough levels of productivity, efficiency, and business transformation.' Agentforce Command Center — Monitor, Measure, and Optimize Your AI Agents: As AI agents take on routine tasks and begin collaborating more closely with human teammates, teams need a new observability layer built for the era of digital labor. Agentforce Command Center is that layer: a complete observability solution that gives leaders a unified pane of glass to monitor agent health, measure performance, and optimize outcomes. Built into Agentforce Studio, it completes the agent lifecycle with powerful tools to understand and refine agents at scale. Uncover patterns across interactions to optimize your agents: Command Center empowers teams to analyze every AI agent interaction, drill into specific moments, understand trends in usage, and see AI-powered recommendations for tagged conversation types to continuously improve your Agentforce. Track agent health and intervene in real time: Get live, detailed analytics for latency, escalation frequency, and error rates, plus real-time alerts when the unexpected happens, so teams can act fast and keep agents running smoothly. Understand what's working, and where to improve: Command Center offers detailed dashboards that track agent adoption, feedback, success rates, cost, and topic performance — so teams can see what's gaining traction and where to improve. See what your agents are doing — in the tools your teams already use: Agentforce captures all agent activity in a native, extensible session-tracing data model in Data Cloud — powering analytics, monitoring, and real-time alerting. Built on the OpenTelemetry standard, these agent signals integrate seamlessly with tools your teams already use, including Datadog, Splunk, Wayfound, and other monitoring partners for end-to-end visibility across your existing stack. Deliver a configurable Command Center for every team: Monitor AI agents alongside human teammates — right in the flow of work. Starting with Service Cloud, agent activity will surface in real-time wallboards so contact center supervisors can track performance and escalate fast. And over time, every department will have a Command Center purpose-built for optimizing their agents. Build and test agents fast with AI-assisted development tools: In Agentforce Studio, use natural language to generate topics, instructions, and test cases. Testing Center simulates behavior at scale with state injection and AI-driven evals — so you can pressure-test your agents before going live. Enabling Secure Enterprise Connectivity with MCP and A2A Support: AI agents can't drive impact if they can't take action using the tools your business relies on. As open standards like Model Context Protocol (MCP) gain traction, they bring new opportunities for interoperability, but also challenges around governance, identity, and control. Agentforce 3 solves this by pairing open connectivity with enterprise-grade trust — giving agents native access to the tools they need, without compromising on control. MCP support built natively into Agentforce: Agentforce will include a native MCP client, enabling Agentforce agents to connect to any MCP-compliant server — no custom code required. Like a 'USB-C for AI,' this enables access to enterprise tools, prompts, and resources — governed by your existing security policies. Turn APIs into MCP servers instantly with MuleSoft: Leveraging new MCP connectors, MuleSoft converts any API and integration into an agent-ready asset, complete with security policies, activity tracing, and traffic controls — empowering teams to orchestrate and govern multi-agent workflows. Easily host and manage custom MCP servers with Heroku: Heroku Managed Inference and AppLink make it fast and easy to deploy, register, maintain, and connect your custom MCP servers. With Heroku's secure infrastructure and DevOps automation, developers can bring trusted custom actions to Agentforce with less friction. Expanding the AgentExchange — a Leading AI Agent Ecosystem — to Make Agent-First Tools Easy to Discover and Use: As organizations embed AI agents across their teams, AgentExchange already makes it easy to equip them with the trusted tools they need to drive value fast with partner-built agent actions and templates. Now, customers will be able to discover MCP servers from 30+ partners that provide trusted access to new third-party tools and resources and seamlessly connect them to Agentforce through a secure AI agent gateway. Launch MCP partners include AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER and more. Customers will be able to leverage MCP Servers through AgentExchange from leading partners, including: AWS: Agentforce will enable agents to unlock critical insights from vast repositories of unstructured data stored on AWS, leveraging a suite of MCP servers such as the Amazon Bedrock Data Automation MCP Server and Amazon Nova Canvas MCP Server. This will allow Agentforce to intelligently process and summarize documents, extract key information from images, transcribe and analyze audio recordings, identify crucial moments in video files, query enterprise knowledge bases, perform semantic code repository searches, and interact with databases through natural language interfaces via Aurora PostgreSQL/MySQL MCP Servers — all enhancing customer service, compliance checks, and operational reporting. Box: Agentforce can help retrieve the latest signed NDA from a Box MCP service, including a summary of key terms. Agentforce can then post a Slack update to the relevant teams that includes the AI summarization, the contract in PDF form, and recommended next steps. Google Cloud: Customers can unlock new Agentforce use cases by connecting to key Google and Google Cloud services via MCP. For example, developers will be able to seamlessly connect Agentforce to the Google Maps Platform and generative AI models like Veo, Chirp, Imagen, and Lyria, while also enabling agentic interactions with Google Cloud Databases. This can enable Agenforce actions that span location-based services, creative AI, and transactional data. PayPal: Customers can now power a full range of agentic commerce capabilities by connecting Agentforce to PayPal's MCP server. They can list products, place orders, process payments, dispute claims, track shipping, manage subscriptions, issue refunds, and more with PayPal, making integrations simple and easy. Stripe: Agentforce enables AI agents to directly handle a wide range of Stripe functionalities via its MCP server, including real-time product lookups, quick payment link generation, subscription setup, and faster dispute management. WRITER: Through a secure connection to WRITER's MCP server, Agentforce can call WRITER's enterprise-grade AI agents to automate content generation, knowledge retrieval, and compliance checks all within Salesforce workflows. Enhancing the Agentforce Architecture for Unmatched Enterprise Readiness: Underpinning every new capability in Agentforce 3 is an enhanced Atlas architecture, providing an enterprise-ready foundation through lower latency, greater accuracy, global availability, and additional options for control through new LLMs hosted on Salesforce infrastructure. Expanded LLM choice with hosted Anthropic: Agentforce can now use Anthropic's Claude Sonnet model hosted via Amazon Bedrock within the Salesforce trust boundary to meet the needs of customers in high compliance industries. As part of this expanded relationship, Anthropic will work with Salesforce to empower customers in regulated industries to scale Agentforce adoption with Claude. Later this year, Salesforce will also allow customers to use Google's Gemini in Agentforce, solidifying Agentforce's position as the leader in trusted, flexible AI agents. Faster performance and response streaming: Experience a more responsive Agentforce with 50% lower latency since January 2025. Response streaming is also generally available in this release, so users can see answers appear in real time. Greater accuracy through web search, inline citations: Agentforce 3 features trusted, expanded grounding through the addition of web search as a data source, allowing agents to go beyond internal data to answer requests as well as inline citations that provide references to the grounding sources used in responses. More languages, more geographies: Agentforce 3 features an expanded global footprint, deploying to Canada, the U.K., India, Japan, and Brazil to serve AI agent traffic within those regions. This release also adds GA support for six new languages, including French, Italian, German, Spanish, Japanese, and Portuguese — with more than 30 additional languages rolling out in the coming months. Enhanced resiliency with automatic model failover: To ensure agents are always on, Agentforce now enables automatic, latency-based failover — dynamically shifting traffic between model providers in case of performance degradation or outages. Bringing Agentforce to Public Sector customers with FedRAMP High Authorization: Agentforce is now authorized and generally available in Government Cloud Plus, which enables public sector customers to bring Agentforce to their missions with the highest standards of trust, security, and compliance. Unmatched Industry Readiness Out-of-the-Box Delivers the Fastest Path to Value from AI Agents: Agentforce customers in every industry can deliver value from AI agents fast through more than 200 pre-built industry actions — half of them new this summer — from patient scheduling, to advertising proposal generation, to vehicle servicing, and more. Agentforce 3 also introduces simplified, flexible pricing with new Agentforce for Sales, Service, and Industry Cloud SKUs with per-user pricing and unlimited usage of actions for employee-facing agents to help teams get started fast and scale boldly. Deploy and Scale Agentforce with Confidence Through Trusted Experts: The Salesforce partner ecosystem, including Accenture, Deloitte Digital, NeuraFlash, PwC, and more, has aided customers across thousands of Agentforce deployments, providing 272,000 certified specialists to deliver strategic guidance and facilitate the successful activation of AI agents that help drive business impact while maintaining governance. Available Today: Agentforce 3 Agentforce adoption analytics Testing Center enhancements 100+ new, pre-built industry actions New Agentforce add-on SKUs with unlimited employee action usage Heroku managed MCP server hosting Increased speed and response streaming Web Search for Agentforce Data Libraries Agentforce for Government Cloud Plus with FedRAMP High authorization Expanded global availability (Canada, U.K., India, Japan, Brazil) and language support (French, Italian, German, Spanish, Japanese, Portuguese) In Pilot or Beta Today: Anthropic Claude models hosted within the Salesforce trust boundary — generally available in July MuleSoft MCP and A2A support — generally available in July Heroku AppLink — generally available in July Session Tracing Data Model — generally available in August Agent health monitoring — generally available in August To Be Released Soon: Agentforce native MCP support – July Agentforce Command Center and Agentforce Studio app – August About Salesforce Salesforce empowers companies of every size and industry to connect with their customers in a whole new way through the power of AI + data + CRM.
Techday NZ
26-06-2025
- Business
- Techday NZ
Salesforce unveils Agentforce 3 to accelerate enterprise AI adoption
Salesforce has released Agentforce 3, an upgrade to its enterprise AI agent platform designed to address key challenges faced by organisations scaling artificial intelligence implementation. The latest version introduces features that enhance visibility and control for enterprise users, moving AI agents from experimental use to full-scale deployment. More than 100 prebuilt actions, expanded interoperability options, and a centralised suite of tools for managing hybrid workforces are among the major enhancements. Agentforce Command Centre Agentforce 3 introduces the Command Centre, marketed as the first real-time observability suite specifically for hybrid workforces. It provides business leaders with a unified interface to monitor performance metrics across both AI agents and human team members. This monitoring is integrated into business key performance indicators (KPIs), aimed at supporting data-driven management and optimisation of workflow processes. The Command Centre includes dashboards detailing agent adoption, feedback, success rates, costs, and specific topic performance, enabling teams to analyse usage trends and identify areas for improvement. The system records all agent activity in a session-tracing data model leveraging Data Cloud and is compatible with monitoring tools such as Datadog, Splunk, and Wayfound through the OpenTelemetry standard. Teams and supervisors can also receive live analytics on latency, escalation frequency, and error rates with real-time alerts for anomalies, enabling prompt interventions to maintain service levels. For contact centres, agent activity can be monitored in real time, permitting quick performance escalations. Interoperability and Prebuilt Integrations Agentforce 3 expands interoperability with native support for open standards like Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A). The platform also integrates with more than 30 partners, including services such as Stripe, Box, Atlassian, AWS, Cisco, Google Cloud, IBM, Notion, PayPal, Teradata, and WRITER via its expanded AgentExchange. Built-in interoperability is intended to allow AI agents not only to communicate with one another, but with broader enterprise applications, creating a more connected digital workplace. Deployment and Usability The update aims to reduce deployment times, with over 100 new prebuilt industry actions and flexible pricing designed to enable companies to deploy agents within days rather than months. The new architecture underlying Agentforce 3 promises improvements in accuracy, latency, resiliency, and model control, the latter of which addresses the requirements of regulated industries. Agentforce Studio is a central space for building, testing, and optimising agents with the assistance of real-time analytics. It provides tools to simulate agent behaviour at scale and generate topics or test cases using natural language, with the goal of assisting teams in developing and deploying agents more efficiently. Customer Adoption Several organisations have already adopted Agentforce, including New Zealand-based companies such as Fisher & Paykel, Urban Rest, and Farm Focus, which cite benefits including task automation, enhanced customer engagement, and the ability for staff to focus on complex, people-centred work. According to Salesforce, Engine, Grupo Globo, PepsiCo, UChicago Medicine, and 1-800Accountant have reported measurable improvements: Engine reduced its average customer case handling time by 15%, 1-800Accountant autonomously resolved 70% of administrative chat engagements during the peak tax season, and Grupo Globo saw a 22% increase in subscriber retention. Adam Evans, Executive Vice President and General Manager of Salesforce AI, commented on the platform's development trajectory: "With Agentforce, we've unified agents, data, apps, and metadata to create a digital labour platform, helping thousands of companies realise the promise of agentic AI today," said Adam Evans, EVP & GM of Salesforce AI. Evans added: "Over the past several months we've listened deeply to our customers and continued our rapid pace of technology innovation. The result is Agentforce 3, a major leap forward for our platform that brings greater intelligence, higher performance, and more trust and accountability to every Agentforce deployment. Agentforce 3 will redefine how humans and AI agents work together — driving breakthrough levels of productivity, efficiency, and business transformation." Ryan Teeples, Chief Technology Officer at 1-800Accountant, described their experience with the system: "Agentforce autonomously resolved 70% of 1-800Accountant's administrative chat engagements during the peak this past tax season, an incredible lift during one of our busiest periods. But that early success was just the beginning. We've established a strong deployment foundation and weekly are focused on launching new agentic experiences and AI automations through Agentforce's newest capabilities. With a high level of observability, we can see what's working, optimize in real time, and scale support with confidence," said Ryan Teeples, Chief Technology Officer at 1-800Accountant. AI Agent Adoption Trends Salesforce cited a soon-to-be-released Slack Workflow Index showing a 233% increase in AI agent usage in six months, with 8,000 customers signing up for Agentforce deployment during the same period. The platform is presented as a response to enterprise demands for improved governance, tooling, and observability in large-scale AI agent operations. Agentforce 3 is now available globally, with tools and integrations focused on supporting enterprise clients as they expand AI adoption within their organisations.
Yahoo
25-06-2025
- Business
- Yahoo
Salesforce (CRM) Launches Agentforce 3 to Accelerate Scalable AI Deployment
Salesforce, Inc. (NYSE:CRM) is one of 10 AI stocks that will skyrocket. Salesforce, Inc. (NYSE:CRM) has introduced Agentforce 3, the latest version of its digital labor platform designed to help businesses manage and scale AI agents more effectively. The upgrade marks a significant step forward in Salesforce's efforts to lead enterprise automation by providing companies with greater control, transparency, and operational efficiency. Pixabay/Public Domain Agentforce 3 brings a suite of enhancements focused on real-time observability, streamlined integration, and faster time to value. The platform includes a newly introduced Command Center that allows businesses to monitor agent performance at scale, support for Model Context Protocol (MCP) to ensure seamless deployment across systems, and over 100 prebuilt industry-specific actions tailored for faster results. These improvements come amid strong momentum for Salesforce's AI products. The company reports more than 8,000 customers have adopted Agentforce over the last six months, coinciding with a 233% increase in enterprise AI agent usage across industries. The business impact is already being seen. Case studies from early users show measurable gains in customer service efficiency, task automation, and retention rates. With Agentforce 3, Salesforce, Inc. (NYSE:CRM) further strengthens its position as a core platform for digital operations. The product's growing adoption reinforces CRM's ability to drive subscription growth, cross-sell opportunities, and deeper customer lock-in. As businesses seek to modernize workflows and reduce operating costs, Salesforce is poised to benefit from long-term demand for scalable, enterprise-grade automation solutions. While we acknowledge the potential of CRM to grow, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than CRM and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
