Pegasystems Inc., The Enterprise Transformation Company, is introducing new AI-driven legacy discovery capabilities in Pega GenAI Blueprint to accelerate the task of modernizing legacy systems. These new features empower IT teams to analyze their existing systems in seconds and reimagine their workflows while reducing technical debt, according to Pega.“There are only so many Band-Aids that IT can keep applying before their systems reach a breaking point,” said Kerim Akgonul, chief product officer, Pega. “But digital transformation is a herculean undertaking that’s typically fraught with failure. These new features in Pega GenAI Blueprint turbocharge modernization projects so organizations can finally shed their outdated tech and curb technical debt while paving the way for a future-ready business.”
Pega GenAI Blueprint, the AI-infused workflow design platform launched earlier this year, empowers organizations to reimagine their mission-critical workflows, fast.
With newly added legacy discovery features, it jumpstarts digital transformation projects to rethink and replace inefficient systems and applications. Users can now leverage generative AI to analyze existing IT assets and quickly create new, modern, cloud-native application “blueprints” that are ready to build.
According to the company, this sidesteps lengthy discovery processes that slow these projects from the start. Teams can then easily collaborate to optimize customer journeys and migrate apps to the cloud—not just lift and shift the same old tech to a new platform.
Available now, new Pega GenAI Blueprint legacy discovery capabilities include features for analyzing:
- Workflows: Pega GenAI Blueprint analyzes Business Process Model and Notation (.bpmn) files commonly used for mapping legacy system workflows. These files are translated into new workflow blueprints built on Pega’s industry-leading case management. The workflows can be easily refined from static processes into dynamic, efficient customer journeys.
- Process mining analysis: For those who lack .bpmn files or related system documentation, Pega Process Mining enables users to analyze systems to uncover process maps, inefficiencies, and optimization opportunities. Now those insights can be instantly turned into Pega blueprints with just one click to jumpstart the redesign process.
- Data definitions: Users can import data definition language (.DDL) files—a syntax that describes database structures—directly from their legacy systems. Pega GenAI Blueprint analyzes these files to generate a data model for their reimagined application—including data objects, fields, and relationships. This enables quick data migration out of existing systems and into new cloud-native data services.
- Integrations: Pega GenAI Blueprint analyzes OpenAPI documents in YAML (.yaml)—the standard for describing back-end system integrations—and automatically builds new data object models in the blueprint. Pega’s Live Data virtualization layer rationalizes the integrations into a logical data model between workflows and back-end systems, abstracting complexity and enabling increased workflow agility.
With nothing more than a natural language description of an app idea, it designs components in seconds using generative AI and drawing on Pega’s expertise, industry best practices, and internet knowledge. This makes innovation easy so anyone can go from app idea to functional app design exponentially faster and more completely than any other workflow design tool, the company said.
Pega GenAI Blueprint releases new features every week to make app design easier and faster. The latest updates include the ability to add new automation types, such as AI and robotic processes, to the apps. Plus, with enhanced Live Preview, users can see how their app will look for different personas before going live, complete with their organization’s brand style and simulated data.
For more information about this news, visit www.pega.com.