{"id":120506,"date":"2026-11-11T23:07:00","date_gmt":"2026-11-11T17:37:00","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/cognizant-and-anthropic-expand-claude-ai-agents-with-25000-professionals\/"},"modified":"2026-11-12T09:55:28","modified_gmt":"2026-11-12T04:25:28","slug":"cognizant-and-anthropic-expand-claude-ai-agents-with-25000-professionals","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/cognizant-and-anthropic-expand-claude-ai-agents-with-25000-professionals\/","title":{"rendered":"Cognizant and Anthropic Expand Claude AI Agents With 25,000 Professionals"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Cognizant is expanding its partnership with Anthropic, dedicating more than <strong>25,000 professionals to Claude-powered enterprise AI<\/strong> and introducing managed services to build and operate AI agents for businesses.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The \u2060<a href=\"https:\/\/news.cognizant.com\/2026-11-10-Cognizant-dedicates-more-than-25%2C000-professionals-to-Claude-delivery%2C-introduces-managed-services-model-to-run-Claude-at-the-core-of-enterprise-operations\" target=\"_blank\" rel=\"noreferrer noopener\">November 10, 2026 announcement<\/a> includes three notable customer results:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pharmaceutical manufacturing:<\/strong> Equipment downtime reduced by 35%, with troubleshooting time falling from 90\u2013120 minutes to 10\u201315 minutes.<\/li>\n\n\n\n<li><strong>Media and entertainment:<\/strong> Requirements documentation reduced from three to four weeks to approximately 15 minutes.<\/li>\n\n\n\n<li><strong>Insurance:<\/strong> Campaign preparation and retirement-plan support workflows completed 40\u201360% faster.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These are Cognizant-reported results. The company has not disclosed detailed measurement methodologies or independent validation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The announcement also reports more than 44,000 associates trained or certified on Claude and over 26,000 certifications.<\/p>\n\n\n\n<h2 id=\"what-is-changing-in-enterprise-ai\" class=\"wp-block-heading\"><strong>What is Changing in Enterprise AI?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A maintenance engineer investigating an equipment failure might spend hours searching technical manuals, reviewing previous incidents and checking maintenance records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An AI agent connected to those information sources might retrieve relevant procedures, compare historical failures and help identify the next diagnostic step.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The same architecture applies to insurance claims, financial research and enterprise document processing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The underlying technologies include Retrieval-Augmented Generation (RAG), APIs, tool calling and agent orchestration. These allow language models to work with business information and applications instead of relying exclusively on their training data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For software developers and AI engineers, learning these technologies is increasingly relevant to building enterprise applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The \u2060<a href=\"https:\/\/www.mygreatlearning.com\/iit-bombay-certificate-in-agentic-ai\">IIT Bombay Certificate in Agentic AI<\/a> focuses on these technical capabilities through RAG, MCP, LangGraph, CrewAI and multi-agent systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Its practical projects include customer-support agents, financial-news research agents and multi-agent software engineering workflows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For developers familiar with Python and APIs, the program offers a structured route into building applications where AI models retrieve information, interact with tools and coordinate tasks.<\/p>\n\n\n\n<h2 id=\"three-industry-applications-worth-understanding\" class=\"wp-block-heading\"><strong>Three Industry Applications Worth Understanding<\/strong><\/h2>\n\n\n\n<h3 id=\"manufacturing-faster-troubleshooting\" class=\"wp-block-heading\"><strong>Manufacturing: Faster Troubleshooting<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Cognizant\u2019s pharmaceutical manufacturing example highlights the potential of connecting AI agents with technical documentation and operational records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A useful troubleshooting agent needs access to accurate information, appropriate tools and procedures for escalating uncertain recommendations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For manufacturing technology teams, the engineering requirements involve data integration, retrieval accuracy and operational safeguards.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The reported 35% reduction in downtime is promising, although the public announcement does not establish whether similar results are achievable across other manufacturing environments.<\/p>\n\n\n\n<h3 id=\"media-automating-requirements-documentation\" class=\"wp-block-heading\"><strong>Media: Automating Requirements Documentation<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The reported reduction from weeks to minutes in requirements-document preparation illustrates an application relevant to business analysts, product managers and engineering teams.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI agents might help collect information, identify missing requirements and prepare structured documents.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The business value depends on the accuracy of the information and the amount of review still required.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For product teams, the challenge is identifying suitable processes and measuring the complete workflow, rather than document-generation speed alone.<\/p>\n\n\n\n<h3 id=\"insurance-faster-financial-workflows\" class=\"wp-block-heading\"><strong>Insurance: Faster Financial Workflows<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Cognizant\u2019s insurance example involves campaign preparation and retirement-plan support.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These processes require access to customer information, financial-product documentation and business rules.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI agents might assist with information retrieval and documentation, while sensitive decisions remain subject to appropriate human review.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Professionals working in banking, insurance or financial operations will find related applications in Great Learning\u2019s \u2060<a href=\"https:\/\/www.mygreatlearning.com\/blog\/agentic-ai-in-finance\/\">Agentic AI in Finance guide<\/a>, covering underwriting, compliance, investment research and risk monitoring.<\/p>\n\n\n\n<h2 id=\"building-ai-agents-is-only-part-of-the-challenge\" class=\"wp-block-heading\"><strong>Building AI Agents Is Only Part of the Challenge<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cognizant is also introducing managed services for operating Claude-powered systems after deployment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Enterprise agents depend on APIs, databases, models and external services. Failures in any component might affect the complete workflow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An agent processing insurance information, for example, needs to handle unavailable services, outdated documents and requests requiring human approval.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Production engineering therefore involves monitoring, evaluation, security, deployment and operational reliability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These responsibilities are particularly relevant to experienced software engineers, DevOps professionals and cloud architects.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The \u2060<a href=\"https:\/\/online.lifelonglearning.jhu.edu\/jhu-certificate-program-ai-agentic-engineering\">Johns Hopkins AI and Agentic AI Engineering program<\/a> addresses production-oriented capabilities, including MLOps, LLMOps, cloud deployment, monitoring and AI security.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For professionals already building software or managing infrastructure, the learning opportunity extends beyond creating an AI prototype to understanding how enterprise AI systems operate under real workloads.<\/p>\n\n\n\n<h2 id=\"which-agentic-ai-skills-matter-for-your-role\" class=\"wp-block-heading\"><strong>Which Agentic AI Skills Matter for Your Role?<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Professional<\/strong><\/th><th><strong>Relevant application<\/strong><\/th><th><strong>Learning priority<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Software developer<\/td><td>Customer-support and workflow agents<\/td><td>RAG, APIs, LangGraph, MCP<\/td><\/tr><tr><td>AI\/ML engineer<\/td><td>Multi-agent applications<\/td><td>Orchestration, evaluation, tool calling<\/td><\/tr><tr><td>Solution architect<\/td><td>Enterprise AI integration<\/td><td>Architecture, security, system connectivity<\/td><\/tr><tr><td>DevOps\/cloud engineer<\/td><td>Production AI systems<\/td><td>MLOps, LLMOps, monitoring<\/td><\/tr><tr><td>Product manager<\/td><td>AI-enabled business processes<\/td><td>Use-case selection, workflow evaluation<\/td><\/tr><tr><td>Banking\/insurance professional<\/td><td>Financial operations and research<\/td><td>Financial AI applications, governance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Professionals comparing technical and business-oriented pathways should review the \u2060<a href=\"https:\/\/www.mygreatlearning.com\/agentic-ai\/courses\">Great Learning Agentic AI course catalogue<\/a> alongside program prerequisites and project requirements.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" class=\"wp-block-heading\" id=\"what-does-cognizants-announcement-mean-for-ai-careers\"><strong>What Does Cognizant\u2019s Announcement Mean for AI Careers?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cognizant\u2019s investment demonstrates how a major technology-services company is organizing its enterprise AI delivery capabilities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The announcement does not quantify new job creation or establish industry-wide productivity improvements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The reported applications nevertheless illustrate the range of work involved in enterprise AI adoption, from building agents and integrating business systems to evaluating outputs and maintaining production applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For technology professionals, <strong>the useful distinction is between learning to use AI tools, developing AI agents and operating AI systems in production<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Each requires different capabilities, and understanding those differences provides a clearer basis for choosing relevant training.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cognizant is expanding its Anthropic partnership with 25,000+ professionals dedicated to Claude-powered AI agents. From pharmaceutical manufacturing to insurance, explore real enterprise use cases, reported productivity gains, and the Agentic AI skills software developers, AI engineers and technology professionals need.<\/p>\n","protected":false},"author":41,"featured_media":120508,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[36781],"tags":[],"content_type":[],"class_list":["post-120506","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.7 (Yoast SEO v28.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Cognizant and Anthropic Expand Claude AI Agents With 25,000 Professionals<\/title>\n<meta name=\"description\" content=\"Cognizant expands its Anthropic Claude AI partnership with 25,000 professionals. 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