Pegasystems has launched Pega GenAI Blueprint, a collaborative application combines generative AI with Pega's industry best practices to enhance the app design process. The application aims to eliminate common obstacles in app design, expedite the design process, and ensure alignment among all stakeholders.

Pega GenAI Blueprint is available for early adopters and allows business leaders to transform app ideas into interactive 'application blueprints'. The application creates blueprints by leveraging generative AI and Pega's industry expertise, which can then be deployed to Pega's automation platform to create a running enterprise-grade application.

"Deploying a workflow app involves much more than just generating code - it starts with an optimised design grounded in best practices and configured for the unique needs of an enterprise. Done poorly, these initial steps could lead to missed deadlines, cost overruns, and mismatched expectations later on," says Kerim Akgonul, chief product officer at Pega.

Pega GenAI Blueprint guides users through the process, broadening access to app design and enabling clients and partners to design optimised applications more quickly. The application enables teams to accelerate the journey from idea to implementation by laying out workflow elements and capturing feedback while facilitating collaboration.

"By eliminating the common obstacles that have long plagued app design, Pega GenAI Blueprint expedites the journey to an optimal design and ensures everyone is on the same page. Now the once daunting app design process becomes less intimidating, which can fuel even greater ambition to dream up additional groundbreaking apps that will propel organisations to new heights," Akgonul adds.

The application incorporates best practice workflow processes, data models, and integrations into its designs. Pega GenAI Blueprint offers agile, optimal workflow design, deep industry expertise, smoother team collaboration, and rapid app deployment.

An initial version of Pega GenAI Blueprint is available today for early adopters, with a general release and additional capabilities expected by the end of Q2.