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Pegasystems-AWS Alliance Targets Legacy Code Conversion, Business Transformation
By integrating Pegasystems' Pega Blueprint AI and AWS Transform, joint partners and customers can more effectively convert millions of lines of aging COBOL code into modern cloud applications to spur business transformation and AI adoption initiatives. Pegasystems and Amazon Web Services have teamed up to integrate the Pega Blueprint AI application design agent into AWS Transform in a move the two IT companies say will help businesses and organizations modernize legacy mainframe applications more quickly and with less friction. The integration will simplify efforts to move away from aging COBOL-based applications, a critical step in business transformation initiatives as enterprises look to accelerate their adoption of agentic AI systems at scale. "This alliance is important because customers need to advance their businesses...they want to unleash AI on their business processes," said Omri Kessel, AWS general manager, agentic AI modernization, in an interview with CRN. "They want to use that capability, but they can't because their old system doesn't allow them to do that." [Related: AWS Launches AI Agents On Partner Central To Simplify Funding, Co-Sell And Admin Time For Channel Partners] "If you are not advancing your tech[nology] stack, you are at a disadvantage" against other companies that aren't burdened with the "baggage" of legacy IT, Kessel said. The Pegasystems-AWS integration news was announced Monday at PegaWorld, Pegasystems' annual conference in Las Vegas. Pegasystems, headquartered in Waltham, Mass., develops Pega Infinity, a leading low-code business process management and intelligent workflow automation platform, along with sales, customer service and customer analytics applications. In his keynote address, titled "The Business Metamorphosis: Moving From App Rigidity To Business Fluidity," Pegasystems founder and CEO Alan Trefler spoke of the role of his company's technology in the rapidly changing IT landscape amid the wave of AI development and adoption. "This is an enormously fraught, enormously confusing, and enormously important time," Trefler (pictured) said, taking a dig at AI tech vendors who promise "something magical" that would ultimately create "a utopia" that eliminates operational, administration and customer-related problems. He pointed to the rapid turnover in large language models that disrupt AI agents vendors and businesses have developed. And he noted that "AI can generate massive, massive, massive amounts of code" -- a contrast to his early days when he participated in developer contests where the goal was to write programs with the fewest number of code lines. He touted Pegasystems' technology as a way to "organize the AI, organize the code, and organize the agents" so they bring all this under control and "achieve predictable outcomes." The Pegasystems-AWS Combination Pega Blueprint is an AI-powered design tool that combines generative AI with industry best practices to design workflows, businesses and data models. (Pega Blueprint AI Application Design Agent is the generative AI engine that powers Pega Blueprint.) AWS Transform, meanwhile, is the cloud giant's agentic AI service that's designed to accelerate cloud migration, modernize legacy applications and "reduce [the] technical debt" of delayed IT improvements, according to an AWS description. AWS Transform analyzes COBOL code and generates full documentation that captures business rules, logic, processes and data structures. Moving off legacy COBOL systems can be costly and involve time-consuming, labor-intensive discovery tasks. In many cases legacy applications consist of millions of lines of COBOL code and decades of undocumented logic, Kessel said during the Monday keynote and repeated in the CRN interview. While some companies take a "lift and shift" approach and move legacy applications to cloud platforms, Kessel said that doesn't address the need to modernize the business logic and business requirements behind the old applications. "What's relevant is to modernize the application," Kessel said. That can be a challenge because many of these applications were developed in the last century and most of the people who developed and understood the code are generally long gone, he said. "We want to return in time and understand the specifications for that software, the requirements for the software," Kessel said. Legacy Code Analysis Using AWS Transform, developers and business transformation teams can analyze millions of lines of original source code, perform application discovery and business rules extraction, build models of how the software behaves and the data it utilizes, and gain a better understanding of the original intent behind legacy software. Pega Blueprint AI then takes the AWS Transform output and uses it to "autonomously generate future-state, cloud-ready application designs without leaving the AWS Transform interface," according to the Pegasystems announcement. The results of those "reverse engineering" steps, Kessel said, assist when "forward engineering" or modernizing the application. Kessel said solution providers, strategic service providers and systems integrators that partner with AWS and Pegasystems will benefit from the AWS Transform-Pega Blueprint AI integration by accelerating application modernization and business transformation projects. "We significantly improve the chances of successfully delivering a business outcome to customers that meet their expectation. We also, for the partner, significantly reduce the cost of doing [those projects]," Kessel said. The integration work is complete, Kessel said, and Pega Blueprint AI is now available with AWS Transform.
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Pegasystems Inc. Launches AI-Driven Modernization Capability On AWS To Reimagine Legacy Mainframe Apps Into Cloud-Native Systems
Pegasystems Inc. announced the Pega Blueprint AI application design agent will be integrated within Amazon Web Services Transform to help organizations modernize mainframe applications faster and with minimal friction. This integration simplifies enterprise transformation, allowing clients to extract and analyze their legacy COBOL code with AWS Transform and reimagine it with Pega Blueprint AI into new cloud-ready agentic applications ? all through one seamless experience. The 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-state, cloud-ready application designs without leaving the AWS Transform interface. The 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 reimagining dated workflows, transforming legacy mainframe processes into agile and reliable modern workflows, and preserving business context, rules, data models, and integrations. 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. 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. Pega Blueprint AI is Pega?s 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 accelerate their digital transformation while maintaining reliability and governance. Pega Blueprint AI is now available within AWS Transform at no additional cost to clients.
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Pegasystems and Amazon Web Services have launched an integrated solution combining Pega Blueprint AI with AWS Transform to help enterprises modernize aging COBOL-based mainframe applications. The partnership enables organizations to analyze millions of lines of legacy code and convert them into cloud-ready agentic applications, accelerating business transformation and AI adoption at scale.
Pegasystems and Amazon Web Services have forged a strategic partnership to address one of enterprise IT's most persistent challenges: converting decades-old COBOL code into modern cloud applications
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. The Pegasystems AWS alliance integrates Pega Blueprint AI directly into AWS Transform, creating an AI-driven modernization capability that promises to accelerate business transformation initiatives while reducing the friction typically associated with mainframe migration projects2
.Announced at PegaWorld in Las Vegas, this integration addresses a critical bottleneck preventing enterprises from adopting agentic AI systems at scale. "This alliance is important because customers need to advance their businesses...they want to unleash AI on their business processes," said Omri Kessel, AWS general manager for agentic AI modernization. "They want to use that capability, but they can't because their old system doesn't allow them to do that"
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.The technical integration creates a seamless workflow for organizations looking to modernize legacy mainframe applications. AWS Transform serves as the analytical foundation, examining millions of lines of original COBOL source code to perform application discovery and business rules extraction
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. The service generates comprehensive documentation capturing time-tested business rules, logic, processes, and data structures embedded within decades of often undocumented legacy systems2
.Pega Blueprint AI then ingests this AWS Transform output to autonomously generate future-state, cloud-ready application designs without requiring users to leave the AWS Transform interface . The AI-powered design tool combines generative AI with industry best practices to reimagine dated workflows into agile and reliable modern systems. Pega Blueprint AI can also ingest demos, screenshots, BPMN files, and SQL files to preserve critical business context, rules, data models, and integrations during the transformation process
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.The challenge of maintaining and updating mainframe applications represents a significant competitive disadvantage for enterprises. Kessel emphasized that companies burdened with legacy IT "baggage" fall behind competitors who have modernized their technology stacks
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. Many legacy applications consist of millions of lines of COBOL code developed decades ago by programmers who are no longer available to explain the original specifications or requirements behind the software1
.While some organizations attempt a "lift and shift" approach by moving legacy applications to cloud platforms, this strategy fails to address the underlying need to modernize business logic and requirements. "What's relevant is to modernize the application," Kessel stated, emphasizing the importance of understanding not just the code but the original intent behind legacy software
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Source: CRN
Pegasystems founder and CEO Alan Trefler positioned the partnership within the broader context of AI adoption during his PegaWorld keynote, "The Business Metamorphosis: Moving From App Rigidity To Business Fluidity." Trefler acknowledged this as "an enormously fraught, enormously confusing, and enormously important time" while cautioning against AI vendors promising unrealistic outcomes
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. He highlighted the challenge of rapid turnover in large language models that can disrupt AI agents and noted that while "AI can generate massive, massive, massive amounts of code," organizations need technology to "organize the AI, organize the code, and organize the agents" to achieve predictable outcomes1
.The integration enables organizations to transform legacy mainframe processes into cloud-native systems capable of supporting enterprise-scale agentic AI deployment. This rapid, intuitive, iterative methodology provides the digital foundation businesses need to compete effectively in the AI economy
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. Pega Blueprint AI is now available within AWS Transform at no additional cost to clients, removing a potential financial barrier to adoption2
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