
Pegasystems has expanded the Pega Blueprint capabilities that significantly accelerate time-intensive digital transformation initiatives. Now, organizations can leverage powerful agentic AI to ingest, analyze, and convert a wide array of legacy system assets – including videos, documentation, UI screens, technical files, and source code – into modern applications faster than ever. These enhancements dramatically shorten the tedious system analysis phase, immediately creating a reimagined application blueprint ready for the cloud.
Pega Blueprint, the revolutionary gen AI-powered workflow design agent, already accelerates application development projects from months to weeks. Now, Pega expands its capabilities to help organizations rapidly assess and reimagine their legacy estate with a wider array of source inputs. Organizations can upload documents, code analysis files, app screenshots, and videos of the app in use into Pega Blueprint, which then analyzes and synthesizes these sources together to design an optimized application starting point. This comprehensive approach gives business and IT teams a head start on their transformation projects while casting a wide net of legacy source information, enabling more informed decisions and reduced iteration cycles.
Pega Blueprint has completely transformed the way clients design and develop new applications. With just a short description in natural language, Pega Blueprint uses the power of gen AI combined with Pega’s best practices to quickly create new modern application workflows providing digital front ends infused with agentic automation. Hundreds of leading global organizations have already created thousands of optimized blueprints for almost any business scenario.
Clients can use new agentic powers in Pega Blueprint to make it even easier to transform their legacy tech debt into automated cloud-based applications and streamlined customer experiences. Enterprises can jumpstart their transformation with -
● Upfront agentic AI analysis of broad legacy inputs: Leveraging agentic AI from the start, clients can upload assets from different sources and file types into Pega Blueprint for analysis – including documents, source code, demo videos, and images, along with outputs from leading source code analysis tools such as AWS Q Developer, Google MAT, and others from key Pega partners.
● Process insights across legacy assets: Pega Blueprint will extract and synthesize information from these uploaded sources to give users insights into legacy system processes. This fuels Pega Blueprint to generate a starting point application workflow for reimagining and retiring these old, inefficient systems.
● Accelerated data modeling and integration: Pega Blueprint already enables users to upload legacy database structures and integration documents to auto-generate the application data layer. Now, it also analyzes and generates the data fields and data object relationships required to build a comprehensive data model. With this AI analysis, enterprises can accelerate the migration of legacy data to the cloud and the integration of new cloud applications with third-party systems.
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