• Pegasystems introduces Pega GenAI Blueprint, enabling employees to turn app ideas into clear and interactive blueprints easily understandable by all stakeholders.
  • The company clarified that users can initiate their use of Pega GenAI Blueprint by articulating the intended purpose of their application.

Pegasystems Inc., the low-code automation software platform, is harnessing generative artificial intelligence to enhance the features of its newest tool, Pega GenAI Blueprint.

Recently unveiled, the latest offering combines Pega’s industry-leading practices with the potency of generative AI to elevate application design processes.

The company asserts that innovation in application development faces hindrances and sabotage due to the inadequacy of existing processes in fostering design thinking and aligning with the diverse needs of the stakeholders involved. While generative AI can speed up the process of designing applications, current models are primarily concerned with producing software code rather than improving existing application workflows.

Pegasystems wants to change that with the introduction of Pega GenAI Blueprint, which enables staff members to convert their app concepts into robust and interactive “blueprints” for an application that is easily comprehensible for all stakeholders.

Using generative AI, the new tool generates basic application blueprints from the ground up. Before being implemented on the company’s automation platform to produce an enterprise-grade application based on the design, the company claimed that these blueprints could be comprehended and verified by any stakeholder. Pega GenAI Blueprint helps users at every stage as they try to sketch out their applications, making application design more accessible to hundreds of low-skilled workers.

The company clarified that users can initiate their journey with Pega GenAI Blueprint by articulating the envisioned purpose of their application. The user interface will subsequently lead them through delineating the app’s workflow elements, fostering collaboration with other stakeholders. By harnessing the Pega GenAI engine, the tool generates application blueprints that encompass best practice workflow processes, data models, and integrations. After finalizing the app’s design, the blueprint seamlessly integrates with the Pega Platform, automating the development process and yielding a fully operational, enterprise-grade application ready for use.

Pegasystems highlighted that its tool brings advantages such as an enhanced and streamlined workflow design process. Generative AI models provide recommendations for the most efficient designs tailored to each type of application. Additionally, applications developed by the Pega GenAI engine integrate industry best practices from sectors like financial services, healthcare, government, and telecommunications, ensuring compliance and security. The company claims to provide clients with a “nearly-there” design foundation to construct their unique apps.

Enhanced collaboration is facilitated through Pega GenAI Blueprint, enabling users to invite colleagues to view, modify, add, delete, or save various workflow stages within their application blueprints. Additionally, users can receive invitations to contribute to process steps, data models, and user personas and share these as PDF files. By fostering closer collaboration among stakeholders, Pegasystems claims to substantially reduce errors and delays.

According to Pegasystems, PegaGen AI Blueprint facilitates the swift deployment of recently developed applications. The key lies in the tool’s automatic generation of the foundational app structure, guiding users through crucial final steps, including linking the app to its data sources. To incorporate new features, users can adjust the respective blueprint for each app and seamlessly integrate those capabilities as part of an ongoing update process.

Pegasystems Chief Product Officer Kerim Akgonul emphasized that implementing new workflow applications goes beyond mere code generation. According to him, users need to integrate industry best practices and configure the application to align most effectively with the enterprise’s requirements. He said, “Done poorly, these initial steps could lead to missed deadlines, cost overruns and mismatched expectations later on.”

According to Constellation Research Inc. Analyst Holger Mueller, generative AI has the potential to ease the burden of developing applications by allowing users to describe what kinds of apps they want using natural language. “However, there is greater value to be had from the background abstraction and automation of software requirements, and this is what Pegasystems is doing now. This innovation has the potential to transform the infamous long tail of automation needs and put business people back in charge of their automation destinies,” Mueller said.

Because of the Pega GenAI Blueprint, citizen developers can now compete with their fully-trained peers. Akgonul said, “Now, the once daunting app design process becomes less intimidating, which can fuel even greater ambitions to dream up additional groundbreaking apps that will propel organizations to new heights.”