![](\"https:\/\/mms.businesswire.com\/media\/20260608450335\/en\/2821767\/4\/Pega-Logos-vertical_navy%2Bmint_digital.jpg\")
<\/a><\/a>\nMarket Context: The slow, costly, complex off-ramp from COBOL<\/b><\/p>
\nAs enterprises look to adopt AI agents at scale, mainframe modernization has become a top priority so they can take advantage of the agentic future. Yet these initiatives are often slowed by decades of undocumented logic, millions of lines of COBOL code, and fragmented tools that require manual discovery before modernization can begin. As a result, organizations struggle to move beyond costly, time\u2011consuming lift\u2011and\u2011shift migrations that can replicate legacy inefficiencies in the cloud.<\/p>
\nA Closer Look: modernization in a seamless experience<\/b><\/p>
\nThe unique combination of Pega Blueprint AI and AWS Transform composable solution enables organizations to perform application discovery and business rules extraction from their COBOL systems and reimagine them for the digital world. AWS Transform analyzes COBOL code and generates full documentation that captures time-tested business rules, logic, processes, and data structures. Powered by Gen AI and fueled by industry best practices, Pega Blueprint AI then ingests this output to autonomously generate future\u2011state, cloud\u2011ready application designs without leaving the AWS Transform interface.<\/p>
\nThe seamless integration of AWS Transform and Pega Blueprint AI enables businesses to move fast and break nothing in their digital transformation quests with benefits including:<\/p>
- \n
- \nReimagining dated workflows:<\/b> The new Pega Blueprint AI agent in AWS Transform takes this analysis and synthesizes it with the latest industry best practices and regulations to transform legacy mainframe processes into agile and reliable modern workflows. Pega Blueprint AI can also ingest demos, screenshots, BPMN files, SQL files, and more to ensure the final application preserves business context, rules, data models, and integrations.<\/li>\n
- \nAccelerating time to value<\/b>:<\/b> Organizations can reimagine the outdated processes holding them back with the help of Pega Blueprint AI, which is informed by industry best practices. This rapid, intuitive, iterative methodology gives organizations the digital foundation they need to better compete in the AI economy.<\/li>\n<\/ul>
\nBackground: Pega Blueprint AI<\/b><\/p>
\nPega Blueprint AI is Pega\u2019s groundbreaking AI-driven design platform for reimagining business, helping enable teams and individuals to quickly create reliable and predictable agentic apps for the enterprise. Using the power of AI agents augmented with best practices from Pega and its partner ecosystem, Pega Blueprint AI helps organizations dramatically accelerate their digital transformation while maintaining the reliability and governance enterprises demand.<\/p>
\nAvailability: Experience Pega Blueprint AI with AWS Transform<\/b><\/p>
\nPega Blueprint AI is now available within AWS Transform at no additional cost to clients.<\/p>
\nThe seamless integration of Pega Blueprint AI and AWS Transform is on display this week at PegaWorld<\/a>\u00ae, the annual user conference at the MGM Grand in Las Vegas. AWS General Manager of Agentic AI Modernization Omri Kessel will deliver a keynote address<\/a> to discuss how the Pega partnership accelerates the path to enterprise transformation. In addition, Unum EVP and Chief Information and Digital Officer Shelia Anderson will deliver a keynote address<\/a> to discuss how Pega and AWS helped modernize Unum\u2019s legacy technology. Visit www.pegaworld.com<\/a> to watch live or for the replay.<\/p>
\nQuotes & commentary<\/b><\/p>
\n\u201cModernizing core systems isn\u2019t just about moving old code to the cloud \u2013 it\u2019s about reimagining how work gets done,\u201d said John Higgins, chief of client and partner success, Pega. \u201cBy embedding Pega Blueprint AI directly into the time-tested AWS Transform analysis capability, we\u2019re removing friction from the most painful stages of modernization and helping enterprises finally move from legacy COBOL to intelligent, cloud\u2011ready applications faster and with greater confidence.\u201d<\/p>
\n\u201cWe recognized the need to modernize parts of our COBOL\u2011based claims platforms to support long\u2011term growth and flexibility,\u201d said Shelia Anderson, EVP, chief information and digital officer, Unum Group. \u201cThis kind of work has traditionally taken years. By taking advantage of tools like AWS Transform and Pega Blueprint AI, we\u2019re accelerating modernization within a key line of business. The focus is on simplifying long\u2011standing technical complexity and creating an environment where our teams can move faster and work more efficiently. This foundational work will help position us for what comes next.\u201d<\/p>
\n\u201cOrganizations modernizing mainframe applications need faster ways to understand legacy systems and move confidently toward the cloud,\u201d said Dr. Asa Kalavade, vice president, AWS Transform, AWS. \u201cBy integrating Pega Blueprint AI directly into AWS Transform, customers can turn COBOL insights into modern, cloud-ready applications more efficiently, helping them accelerate transformation while reducing complexity. This integration completes the COBOL transformation cycle, giving customers an end-to-end path from legacy code to modern applications.\u201d<\/p>
\nAbout Pegasystems<\/b><\/p>
\nPega delivers the platform to reimagine, run, and evolve the processes and decisions an enterprise can't afford to get wrong. We combine AI with proven architecture to keep mission-critical operations governed, scalable, and continuously adaptable. Since 1983, the world's largest organizations have trusted Pega to turn transformation ambition into durable results. Learn more at pega.com<\/a>.<\/p>
\nAll trademarks are the property of their respective owners.<\/i><\/p>
\nPress Contact:<\/b>
AWS Transform now integrates with Pega Blueprint AI to transform aging COBOL code into modern appsLAS VEGAS–(BUSINESS WIRE)–$PEGA #AI–Pegasystems Inc. (NASDAQ: PEGA), the enterprise AI software company for mission-critical work, today at PegaWorld\u00ae…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-17613","post","type-post","status-publish","format-standard","hentry","category-infos-businesswire"],"_links":{"self":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/17613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17613"}],"version-history":[{"count":1,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/17613\/revisions"}],"predecessor-version":[{"id":17614,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/17613\/revisions\/17614"}],"wp:attachment":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17613"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17613"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- \nAccelerating time to value<\/b>:<\/b> Organizations can reimagine the outdated processes holding them back with the help of Pega Blueprint AI, which is informed by industry best practices. This rapid, intuitive, iterative methodology gives organizations the digital foundation they need to better compete in the AI economy.<\/li>\n<\/ul>