{"id":13270,"date":"2026-03-26T05:00:00","date_gmt":"2026-03-26T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=13270"},"modified":"2026-04-01T15:21:20","modified_gmt":"2026-04-01T04:21:20","slug":"ai-foundry-announcement","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/au\/news\/stories\/ai-foundry-announcement\/","title":{"rendered":"Salesforce AI Research Launches AI Foundry to Accelerate System-Level Enterprise AI"},"content":{"rendered":"\n<p>The AI industry&#8217;s most visible breakthroughs have centered on consumer applications \u2014 personal assistants that write emails, generate images, and answer questions. These capabilities dominate benchmarks, capture headlines, and attract research investment. But the hardest challenges in <a href=\"https:\/\/www.salesforce.com\/artificial-intelligence\/enterprise-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">enterprise AI<\/a> live at the system level: <a href=\"https:\/\/www.salesforce.com\/agentforce\/ai-agents\/autonomous-agents\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">autonomous agents<\/a> that communicate across organizational boundaries without compromising security. For example, voice interfaces that handle the nuance of conversations. AI that understands context across evolving workflows even as the interface itself transforms. Systems that dynamically discover and optimize for emerging patterns.<\/p>\n\n\n\n<p>To tackle these challenges, today Salesforce AI Research announced <strong>AI Foundry, an initiative focused on developing transformative AI innovation for the enterprise. <\/strong>AI Foundry brings together AI research, strategic customers, and academic partners to develop, test, and validate new AI capabilities designed to move from foundational research to product innovation faster than ever before.<\/p>\n\n\n\n<div class=\"wp-block-group is-style-media-wrapping-container\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\" id=\"h-from-model-level-to-system-level-ai\"><strong>From Model-Level to System-Level AI<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-embed alignright is-type-video is-provider-vidyard wp-block-embed-vidyard\"><div class=\"wp-block-embed__wrapper\">\n<script type=\"text\/javascript\" async src=\"https:\/\/play.vidyard.com\/embed\/v4.js\"><\/script><img decoding=\"async\"  style=\"width: 100%; margin: auto; display: block;\"  class=\"vidyard-player-embed\"  src=\"https:\/\/play.vidyard.com\/ZZbqRWfrND4rnEaLcCxdjb.jpg\"  data-uuid=\"ZZbqRWfrND4rnEaLcCxdjb\"  data-v=\"4\"  data-type=\"inline\"  data-width=\"500\"  data-height=\"281\"\/>\n<\/div><\/figure>\n\n\n\n<p>For over a decade, AI progress meant better models \u2014 bigger, faster, more capable. Salesforce AI Research contributed to <a href=\"https:\/\/www.salesforce.com\/artificial-intelligence\/\" target=\"_blank\" rel=\"noreferrer noopener\">many of those advances<\/a>, from predictive AI that forecasts customer behavior, leveraging models such as <a href=\"https:\/\/www.salesforce.com\/blog\/moirai-2-0\/\" target=\"_blank\" rel=\"noreferrer noopener\">Moirai,<\/a> to generative AI for productivity, like <a href=\"https:\/\/developer.salesforce.com\/blogs\/2024\/09\/introducing-agentforce-for-developers\" target=\"_blank\" rel=\"noreferrer noopener\">Agentforce for Developers<\/a>, and finally to agentic AI that takes action on behalf of users.<\/p>\n\n\n\n<p>But as <a href=\"https:\/\/www.salesforce.com\/artificial-intelligence\/what-are-large-language-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">large language models<\/a> mature, the gap between what a model can do in isolation and how a system is expected to perform in production has become a central challenge for enterprise adoption.<\/p>\n\n\n\n<p>&#8220;The problems that matter most for businesses don&#8217;t live at the model level anymore,&#8221; said Silvio Savarese, Chief Scientist at Salesforce. &#8220;They live at the system level, where components work together to deliver accuracy, consistency, and reliability at scale. AI Foundry is the engine we\u2019ve built to make that a reality.&#8221;<\/p>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-areas-of-investment\"><strong>Areas of Investment<\/strong><\/h2>\n\n\n\n<p>AI Foundry is focused on strategic areas where Salesforce AI Research sees the greatest opportunity for enterprise impact:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Simulation Environments: Agents that learn from experience<\/strong><br>Enterprise <a href=\"https:\/\/www.salesforce.com\/agentforce\/ai-agents\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">AI agents<\/a> need to be tested against realistic business conditions before they reach production. AI Foundry has already developed <a href=\"https:\/\/www.salesforce.com\/news\/stories\/everse-announcement\/\" target=\"_blank\" rel=\"noreferrer noopener\">eVerse<\/a>, a\u00a0 simulation environment\u00a0 that exposes agents to thousands of edge cases, handoffs, and judgment calls, demonstrating how it is able to increase both capability and consistency in enterprise use cases. Recently, eVerse was used to stress-test <a href=\"https:\/\/www.salesforce.com\/news\/stories\/enterprise-digital-twin\/\" target=\"_blank\" rel=\"noreferrer noopener\">Agentforce Voice<\/a> across thousands of simulated conversations and to pilot UCSF Health\u2019s contact center billing agents.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ambient Intelligence<\/strong>: <strong>Agents that disappear into the environment<\/strong><br>Ambient intelligence is context-aware, proactive, and timely. It understands the full situation, anticipates needs before they emerge, and surfaces just-in-time insights. AI Foundry is developing capabilities that embed this intelligence directly into enterprise workflows, with a deliberate focus on human-AI interaction patterns. The goal is AI that&#8217;s always on but never overwhelming, helpful without creating information overload.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Agent-to-Agent Ecosystems: Agents that interact on behalf of companies across organizational boundaries<\/strong><br>AI Foundry has developed protocols, such as <a href=\"https:\/\/www.salesforce.com\/blog\/agent-interoperability\/\" target=\"_blank\" rel=\"noreferrer noopener\">agent cards<\/a>, and is continuing to invest in building an enterprise <a href=\"https:\/\/www.salesforce.com\/blog\/agent-to-agent-interaction\/\" target=\"_blank\" rel=\"noreferrer noopener\">multi-agent semantic layer<\/a>, with standardized protocols, guardrails, decision logging, and coordinated escalation. Working with Salesforce\u2019s legal council, as well as with the Office of Ethical Use of Technology, our research team is defining the legal frameworks required for autonomous agent negotiation.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-research-to-product-faster\"><strong>Research to Product, Faster<\/strong><\/h2>\n\n\n\n<p>AI Foundry brings together foundational research and human-centric design principles\u00a0 to drive real innovation into Salesforce\u2019s product roadmap much faster than the traditional product cycle would allow.\u00a0\u201cMany of the old rulebooks simply don\u2019t apply anymore,\u201d said Itai Asseo, VP of Salesforce AI Research. &#8220;AI Foundry connects foundational research to real business problems by collaborating closely with our strategic customers in rapid iteration cycles.&#8221;<\/p>\n\n\n\n<p>The initiative also extends Salesforce&#8217;s <a href=\"https:\/\/www.salesforce.com\/blog\/ai-research-academic-grants\/\" target=\"_blank\" rel=\"noreferrer noopener\">academic grant program<\/a> and partner ecosystem, connecting external researchers and cross-industry talent to partner on solving the most pressing enterprise AI challenges.<\/p>\n\n\n\n<aside class=\"more-from-block more-from-block--2 alignfull wp-block-newsroom-moreontopic\">\n\t<div class=\"more-from-block__content\">\n\t\t\t\t\t<h4 class=\"more-from-block__title\">Related<\/h4>\n\t\t\n\t\t<div class=\"more-from-block__cards more-from-block__cards--2\"\n\t\t\t\t>\n\t\t\t\n\n<article\t\t\titemscope=\"\"\n\t\titemtype=\"https:\/\/schema.org\/Article\"\n\t\tdata-card-id=\"13204\"\n\t\tclass=\"content-card content-card--large-inline is-entire-area-clickable content-card--is-boxed\"\n\t\t\tdata-clickable-area-link=\"https:\/\/www.salesforce.com\/au\/news\/stories\/agentforce-for-communications-announcement\/\"\n\t>\n\t\t\t<div class=\"content-card__image-container\" itemprop=\"image\" itemscope 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Productivity Gap: New Survey Shows ANZ Sales Teams Are Betting On AI Agents To Help\t\t\t\t<\/a>\t\t\t<\/h3>\n\t\t\n\t\t\t\t\n\t\t\n\t\t\t\t\t<div itemprop=\"readTime\" class=\"content-card__read-time\">\n\t\t\t\t6 min read\t\t\t<\/div>\n\t\t\n\t\t\t<\/div>\n\n<\/article>\n\n\t\t<\/div>\n\t\t<noscript>\n<div class=\"pagination-fallback\">\n\n\t\t<a href=\"https:\/\/www.salesforce.com\/au\/news\/wp-json\/wp\/v2\/posts\/13270\/page\/2\/?bc=OTH#section-title\">\n\t\t\tOlder Posts\t\t<\/a>\n\t\t<\/div>\n<\/noscript>\n\t<\/div>\n<\/aside>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-why-this-matters-now\"><strong>Why This Matters Now<\/strong><\/h2>\n\n\n\n<p>Enterprise leaders recognize what the benchmarks don&#8217;t capture: Business AI operates under requirements that consumer applications never face. Only fit-for-purpose business systems can handle the complexity, trust, and operational reality that enterprises demand.&nbsp;<\/p>\n\n\n\n<p>AI Foundry is designed to tackle these challenges \u2014 not by chasing model benchmarks but by building the systems, protocols, and validation infrastructure that make AI agents work for business at scale.\u00a0<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-learn-more\"><strong>Learn more:<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learn about Salesforce AI Research at <a href=\"http:\/\/salesforceairesearch.com\" target=\"_blank\" rel=\"noreferrer noopener\">SalesforceAIResearch.com<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.salesforce.com\/news\/stories\/everse-announcement\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read about eVerse<\/a>, the enterprise simulation environment for voice and text agents<\/li>\n\n\n\n<li>Explore Chief Scientist Silvio Savarese\u2019s take on <a href=\"https:\/\/www.salesforce.com\/blog\/agent-to-agent-interaction\/\" target=\"_blank\" rel=\"noreferrer noopener\">agent-to-agent ecosystems<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>As frontier models mature and become commodities, innovation in enterprise AI is happening at the system level, not the model level. <\/p>\n","protected":false},"author":0,"featured_media":13269,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"sf_subhead":"","sf_i18n_disclaimer":false,"_jetpack_memberships_contains_paid_content":false,"alternateThumbnailId":0,"sf_product_cta_id":0,"footnotes":""},"categories":[],"tags":[],"sf_content_type":[4240],"sf_theme":[4207],"sf_topic":[4227,4027,4208,3552],"sf_product":[],"sf_industry":[],"sf_role":[],"sf_multimedia_asset":[],"sf_location":[1515,1094],"sf_collection":[1186],"sf_visibility":[],"coauthors":[],"class_list":["post-13270","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","sf_content_type-snapshots-other","sf_theme-agentic-ai","sf_topic-agentic-enterprise","sf_topic-agents","sf_topic-ai","sf_topic-enterprise-ai","sf_location-anz","sf_location-global","sf_collection-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - 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