Pega Launches AI-Driven Modernization Capability on AWS To Reimagine Legacy Mainframe Apps Into Cloud-Native Systems

Key Terms

cobol technical

COBOL is a decades-old computer language used to run many banks, insurers and government systems; think of it as the plumbing and electrical wiring behind core financial services. Investors should care because those legacy systems can be costly to maintain, hard to update, and dependent on a shrinking pool of specialists, which can increase operational risk, slow new product development, and raise expenses when companies modernize or replace them.

pega blueprint ai technical

A platform feature that uses artificial intelligence to analyze business processes, user inputs and existing systems, then generates a practical implementation plan for building or automating enterprise applications. Think of it as an automated architect that translates company needs into step-by-step blueprints developers and managers can use, which matters to investors because it can speed deployments, lower implementation costs, and improve the odds that digital transformation projects deliver value.

gen ai technical

Software that uses learned patterns from large amounts of data to produce new content — such as text, images, code or audio — on demand, much like a virtual assistant that composes original work when given a prompt. Investors care because it can rapidly lower costs, create new products and revenue streams, and change competitive dynamics across industries, while also introducing risks around accuracy, regulation and intellectual property.

bpmn technical

Business Process Model and Notation (BPMN) is a standardized way to draw and describe how work flows through an organization, like a clear, detailed flowchart for business activities. Investors care because BPMN helps companies spot inefficiencies, reduce errors, improve compliance and scale operations more predictably—changes that can cut costs, speed execution and lower operational risk, all of which affect profitability and valuation.

sql technical

Structured Query Language (SQL) is the standard language used to store, retrieve and manage data in databases — think of it as the way people ask a digital filing cabinet for specific records. For investors, SQL matters because companies use it to run financial reports, customer analytics, and operational systems; strong use or problems with SQL-driven systems can affect accuracy of reporting, speed of decision-making, security, and IT costs.

mainframe technical

A mainframe is a large, powerful computer built to run many critical business tasks at once—think of it as the reliable back-office engine that processes huge volumes of transactions, stores vital records, and keeps core systems running. Investors care because mainframes support the day-to-day operations of banks, insurers and large enterprises; their presence, upgrades or replacement can affect costs, risk, uptime and long-term revenue stability much like the foundation of a building affects everything built on it.

agentic applications technical

Software systems that carry out tasks and make decisions on behalf of users with little or no human intervention, often using artificial intelligence and preset goals; examples include automated trading programs, virtual assistants that manage workflows, and bots that handle customer requests. Investors care because these applications can sharply raise productivity and lower costs—like power tools that let a worker do more—but they also create new operational, legal and competitive risks that can affect a company’s performance and valuation.

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AWS Transform now integrates with Pega Blueprint AI to transform aging COBOL code into modern apps

LAS VEGAS--(BUSINESS WIRE)-- Pegasystems Inc. (NASDAQ: PEGA), the enterprise AI software company for mission-critical work, today at PegaWorld® announced the Pega Blueprint AI™ application design agent will be integrated within Amazon Web Services (AWS) 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.

Market Context: The slow, costly, complex off-ramp from COBOL

As 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‑consuming lift‑and‑shift migrations that can replicate legacy inefficiencies in the cloud.

A Closer Look: modernization in a 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: 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.
• Accelerating time to value: 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.

Background: Pega Blueprint AI

Pega Blueprint AI is Pega’s 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.

Availability: Experience Pega Blueprint AI with AWS Transform

Pega Blueprint AI is now available within AWS Transform at no additional cost to clients.

The seamless integration of Pega Blueprint AI and AWS Transform is on display this week at PegaWorld®, 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 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 to discuss how Pega and AWS helped modernize Unum’s legacy technology. Visit www.pegaworld.com to watch live or for the replay.

Quotes & commentary

“Modernizing core systems isn’t just about moving old code to the cloud – it’s about reimagining how work gets done,” said John Higgins, chief of client and partner success, Pega. “By embedding Pega Blueprint AI directly into the time-tested AWS Transform analysis capability, we’re removing friction from the most painful stages of modernization and helping enterprises finally move from legacy COBOL to intelligent, cloud‑ready applications faster and with greater confidence.”

“We recognized the need to modernize parts of our COBOL‑based claims platforms to support long‑term growth and flexibility,” said Shelia Anderson, EVP, chief information and digital officer, Unum Group. “This kind of work has traditionally taken years. By taking advantage of tools like AWS Transform and Pega Blueprint AI, we’re accelerating modernization within a key line of business. The focus is on simplifying long‑standing 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.”

“Organizations modernizing mainframe applications need faster ways to understand legacy systems and move confidently toward the cloud,” said Dr. Asa Kalavade, vice president, AWS Transform, AWS. “By 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.”

About Pegasystems

Pega 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.

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View source version on businesswire.com: https://www.businesswire.com/news/home/20260608450335/en/

Press Contact:
Sean Audet
Pegasystems Inc.
sean.audet@pega.com
Pega on LinkedIn

Source: Pegasystems Inc.