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Wunderkind Launches Wunderkind Analytics & WunderkindAI

Wunderkind Launches Wunderkind Analytics & WunderkindAI

Martechvibe21-03-2025
WunderkindAI and Wunderkind Analytics are the latest enhancements to Wunderkind's Autonomous Marketing Platform, which applies adaptive learning and decisioning.
Wunderkind, a provider of performance marketing and identity, announced the addition of Wunderkind Analytics and WunderkindAI to its Autonomous Marketing Platform. This combined solution helps thousands of Wunderkind retail clients measure and optimise customer experiences and maximise revenue through high-engagement actions like triggered email, text, and other channels.
Wunderkind Analytics
This always-on application streamlines performance analysis with self-service, real-time dashboards, curated insights, interactive visualisations, and performance comparisons to give brands greater visibility and control over their performance revenue.
Together, these features give brands the ability to measure, understand, and optimise their marketing strategies with reduced reliance on their Wunderkind teams.
'We rely on Wunderkind Analytics to check in on our performance constantly, and it's one of the first things I do as part of my morning routine,' said Ben Gilbert, Director of Marketing Technology for At Home.
'The intuitive dashboards make it simple for our own team to spot trends and take action quickly, and it's been a huge advantage in pulling the insights we need while keeping leadership in the loop and tracking against our growth goals.'
ALSO READ: Wunderkind Integrates with Salesforce Marketing Cloud
WunderkindAI
The engine powering the Autonomous Marketing Platform, WunderkindAI enables brands to build smarter audiences, generate high-performing experiences, and optimise customer engagement at scale through such capabilities as: Refining audience targeting through precision audience segmentation, purchase propensity modeling, and product affinity analysis to drive higher conversions.
Enhancing content creation with brand-aligned copy generation and refinement while optimising experiences with AI Abandonment and AI Catalog to automate send time and channel selection.
Predictive analytics further refine outreach, forecasting user behavior to maximise engagement and revenue.
These WunderkindAI-powered capabilities, driven by agentic AI, lay the foundation for moving beyond static campaigns to deliver perpetually evolving, infinite experiences that dynamically adapt to consumer behaviors in real time.
'While AI is driving the next phase of autonomous marketing, it's also a perfect example of 'garbage in, garbage out',' said Bill Ingram, CEO at Wunderkind. 'That's why retailers are looking to Wunderkind to lead the way. Our proprietary Identity Network is the perfect foundation of first-party data to layer AI onto and take performance to the next level.'
WunderkindAI and Wunderkind Analytics are the latest enhancements to Wunderkind's Autonomous Marketing Platform, which applies adaptive learning and decisioning to streamline and automate how marketers build, optimise, and report on their customer touchpoints to drive revenue. Every year, Wunderkind delivers more than $5 billion in directly attributable revenue for retailers like Perry Ellis, HelloFresh, and more.
As Wunderkind continues to evolve its AI-powered optimisations and self-servicing, it is also expanding how brands implement and scale their performance solutions with Build by Wunderkind.
This new API-first offering seamlessly integrates into a brand's existing marketing and technology stack, ensuring AI-driven decisioning and personalisation work in harmony with broader strategy and investments. By providing brands with greater control and flexibility, Build by Wunderkind empowers retailers to maximise performance while maintaining strategic alignment. More details on Build will be shared in the coming months.
ALSO READ: SAS Brings Customer Intelligence 360 To AWS Marketplace
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OpenText offers a cloud-native, scalable platform for enterprises to streamline their marketing functions. It provides fully composable content management, digital asset management, creative workflows, personalisation, targeting and customer data technologies in one place, ensuring a holistic approach to B2B, B2E and B2C experiences.
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Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale.
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Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases.
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Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market.
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Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle.
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HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals.
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Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales.
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Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics.
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Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage.
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Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio.
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NTT DATA Announces New Service for Salesforce's Agentforce
NTT DATA Announces New Service for Salesforce's Agentforce

Channel Post MEA

time2 days ago

  • Channel Post MEA

NTT DATA Announces New Service for Salesforce's Agentforce

Following the unveiling of NTT DATA's Smart AI Agent Ecosystem , a transformative enterprise-grade framework for agentic solutions, NTT DATA has announced a new service offering for Salesforce's Agentforce that will help clients accelerate the adoption of autonomous AI agents to work alongside humans. The service will be delivered through an 'EPAS' model – Evangelize, Pilot, Adopt and Scale – and will work in harmony with NTT DATA's existing data and cloud offerings, including Agentic AI Services for Hyperscaler AI Technologies . Evangelize : NTT DATA will help evangelize the use of Agentforce, identify use cases and build return on investment proposals for adopting Agentforce. NTT DATA will leverage its domain-specific leadership, digital workforce expertise, and repository of hundreds of agentic AI use cases and roadmap, classified by industry, to align with what works best in each client ecosystem. : NTT DATA will help evangelize the use of Agentforce, identify use cases and build return on investment proposals for adopting Agentforce. NTT DATA will leverage its domain-specific leadership, digital workforce expertise, and repository of hundreds of agentic AI use cases and roadmap, classified by industry, to align with what works best in each client ecosystem. Pilot : NTT DATA will support a client's initial deployment and build the first use case as a proof-of-concept implementation of Agentforce. NTT DATA will advise on opportunities to add the power of complementary end-to-end AI agent ecosystem capabilities. : NTT DATA will support a client's initial deployment and build the first use case as a proof-of-concept implementation of Agentforce. NTT DATA will advise on opportunities to add the power of complementary end-to-end AI agent ecosystem capabilities. Adopt and Scale : Once the value of Agentforce is realized, NTT DATA will build a product-oriented delivery model to support scaling and adoption of Agentforce. NTT DATA will also reuse its extensive repository of Agentforce use cases to help its client get a head start on adoption. With the NTT DATA offering for Agentforce, clients can experience the benefits of robust solution architecture and services delivery capabilities, along with the opportunity to integrate with MuleSoft and Data Cloud. This multi-faceted advantage is rooted in NTT DATA's award-winning expertise in both integration and data unification platforms, providing clients with the comprehensive and tested scale required for global enterprises. Megan Piccininni, SVP and Global Salesforce Practice Leader, NTT DATA , commented, 'With our new service for Agentforce, our partnership with Salesforce underscores the transformative potential of agentic AI. Central to this innovation is the coordination and orchestration of multiple intelligent agents, which are essential for achieving comprehensive end-to-end automation across various platforms. Our Smart AI Agent Ecosystem, expert advisory services, depth of AI, data, and cloud talent, position NTT DATA as unique in this space with Salesforce. NTT DATA has been part of Salesforce's Agentforce Partner Network since its inception, and we are committed to deliver client success leveraging Agentforce.' Agentforce is a digital labor platform for enterprises to augment teams with trusted autonomous AI agents in the flow of work. With Salesforce's AgentExchange , a leading AI agent ecosystem for enterprises, clients have access to hundreds of ready-to-use actions, topics, and templates built by partners, and will have access to pre-validated Model Context Protocol (MCP) servers, that have passed rigorous security reviews to quickly create and deploy their digital workforce of AI agents. NTT DATA's new service for Agentforce is adaptable to different use cases. Clients will be able to benefit from agentic AI and see tangible outcomes across industries. The top use case for NTT DATA's service for Agentforce is focused on Customer Service and Experience. Application Management Services Agentification includes deployment of utility agents that interact seamlessly with various observability and service management ecosystems. includes deployment of utility agents that interact seamlessly with various observability and service management ecosystems. The service for Agentforce enables Agentic Business Process as a Service across different domains such as Life Insurance-as-a-Service and Contact Center-as-a-Service. across different domains such as Life Insurance-as-a-Service and Contact Center-as-a-Service. In Health and Life Sciences , AI agents can help transform patient management and improve patient outcomes. , AI agents can help transform patient management and improve patient outcomes. Real Estate and Vendor Management task automation, such as technical support, helps address changes and vendor management operations, reducing support tickets and manual process time. task automation, such as technical support, helps address changes and vendor management operations, reducing support tickets and manual process time. Seller Community applications streamline deal validation and sales intake, reducing deal approval time. applications streamline deal validation and sales intake, reducing deal approval time. Marketing Community use cases include automating email credit management and accelerating marketing email delivery, achieving faster email processing. use cases include automating email credit management and accelerating marketing email delivery, achieving faster email processing. Faster Time-to-Hire outcomes from optimized recruitment processes with Agentforce. outcomes from optimized recruitment processes with Agentforce. Governance and Security Control offer centralized management of security and reuse, ensuring consistency and control across all deployed agents. Digital labor is already here, delivering a meaningful competitive advantage for organizations that embed it effectively across departments. To truly scale this potential, businesses need clear insight into agent deployment, how agents enhance human productivity, and secure tool usage. Salesforce's latest Agentforce release provides an enterprise-grade platform to manage human-AI collaboration, connect agents to tools via open standards, and rapidly deploy industry-ready agents with the trust, scale, and performance enterprises demand. Agentforce expands digital labor across the enterprise with new industry-specific actions to provide industry readiness out of the box that delivers a fast path to value from AI agents. NTT DATA plays a crucial role in driving an agent economy with leadership scale and expertise and guiding clients in their agentic maturity , from task automations to interoperable agents, while helping to ensure responsible innovation and global governance. Megan Piccininni further added, 'In our role as an Outsourcing Service Provider (OSP), our competence to deploy the new service for Agentforce across industries differentiates us from the rest. By merging our competencies in Salesforce, Application Management Services, Business Process Services, Data and AI Services, Cloud and Security Services, and next-generation technologies, we deliver multi-faceted benefits to our clients. This integrated approach allows us to take ownership, manage, and operate within a business outcome-focused framework.' 'Organizations need a new labor model that unlocks the full potential of humans with AI at work. NTT DATA is a critical partner for identifying and developing specific use cases with our joint customers across industries, helping to ensure tailored and effective AI solutions for scaling digital labor,' said Phil Samenuk, SVP of Global Alliances & Channels and Outsourcing Service Providers, Salesforce. 'With Agentforce constantly evolving and expanding, NTT DATA's new service demonstrates the company's commitment to empowering customers to deliver success with Agentforce.'

Alteryx Names Arvind Krishnan As Chief Technology Officer
Alteryx Names Arvind Krishnan As Chief Technology Officer

Channel Post MEA

time2 days ago

  • Channel Post MEA

Alteryx Names Arvind Krishnan As Chief Technology Officer

Alteryx has announced the appointment of Arvind Krishnan as Chief Technology Officer (CTO). With over 25 years of experience leading global engineering organizations and delivering scalable SaaS innovations, Krishnan will spearhead the company's technical vision and execution across its strategic pillars, including the recently announced Alteryx One platform, its AI Data Clearinghouse solution, and its deepened initiatives across cloud data platforms. 'Alteryx is at the forefront of helping enterprises harness the full power of analytics and AI,' said Andy MacMillan, Chief Executive Officer at Alteryx. 'Arvind brings the kind of deep technical leadership and customer-first thinking that will propel our innovation agenda forward, particularly as we scale Alteryx One, deepen our cloud partnerships, and evolve our AI Data Clearinghouse to drive safe, governed AI adoption. We're thrilled to welcome him to the team.' Krishnan will lead Alteryx's global engineering team, driving product velocity, platform reliability, and operational excellence. His appointment comes as Alteryx expands its platform capabilities to deliver seamless integration across cloud ecosystems, enable trusted enterprise-wide AI, and deliver secure, governed analytics at scale. Prior to joining Alteryx, Krishnan served as CTO at Bluecore, where he led distributed engineering teams and complex cloud-native initiatives. He also held senior leadership roles at Salesforce, where he spent over a decade scaling product development across multiple cloud products. 'Joining Alteryx at this transformative stage is a unique opportunity to build the future of enterprise analytics and AI,' said Krishnan, Chief Technology Officer at Alteryx. 'I'm energized by the company's vision and the caliber of the engineering organization. Together, we'll continue to advance an open, scalable, and governed platform that helps customers innovate with confidence.' As AI adoption gathers pace across the Middle East, Alteryx is closely aligned with the region's vision to position itself as a global AI powerhouse. Regional economies are expected to see AI contribute between 20% and 34% to their growth, with the UAE at the forefront, driven by its clear commitment to AI development and large-scale digital transformation. This momentum is underpinned by strong government support and a growing demand for data-driven decision-making. With its low-code, no-code platform that simplifies advanced analytics, Alteryx empowers businesses to translate data into actionable insights, accelerating scalable automation and unlocking new growth opportunities across the region.

Salesforce launches Agentforce 3 to solve the biggest blockers to scaling AI agents: Visibility and control
Salesforce launches Agentforce 3 to solve the biggest blockers to scaling AI agents: Visibility and control

Zawya

time7 days ago

  • 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.

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