Analyst(s): Keith Kirkpatrick
Publication Date: June 4, 2025
What is Covered in this Article:
- AI-Enhanced Pega Blueprint: The latest Blueprint release uses AI agents to analyze legacy applications (e.g., COBOL) by ingesting video recordings, code, and documentation, automatically extracting metadata, workflows, and connections to generate cloud-native application previews before committing development resources.
- Agentic Process Fabric: A new orchestration layer that connects AI agents across disparate enterprise systems, enabling end-to-end workflow execution while ensuring governance, auditability, and seamless integration of Pega agents with third-party or DIY AI agents.
- AI-Powered Development Tools & Partner Ecosystem Upgrades: App Studio now includes agentic assistance features (automated guidance and test-script generation) to accelerate low-code development. Meanwhile, partners can inject their own IP directly into Blueprint, and Pega has simplified its SKUs and pricing to reduce complexity and cost barriers.
- Strategic Differentiation via Decisioning, Governance & Process Redesign: Pega doubles down on its deep expertise in decisioning and workflow orchestration—highlighted by customer stories (e.g., Rabobank, Verizon)—and emphasizes AI-driven process redesign (not just code generation). The platform embeds governance controls around generative AI, allowing configurable runtime agents to handle edge cases and continuously enrich the process repository.
The Event – Major Themes & Vendor Moves: PegaWorld 2025, Pegasystems’ annual user and partner event, was marked by a plethora of product announcements that revolve around the enhancement of its Pega GenAI Blueprint application design SaaS offering, the launch of a new Agentic Process Fabric to connect AI agents across disparate apps and systems; new AI-powered development tools; and enhancements to Pega’s Partner Ecosystem.
These announcements fit into a broader theme of enabling transformation through the capture of processes and workflows used within legacy applications, which can then be analyzed, optimized, and deployed via Pega Infinity, the company’s low-code, AI-driven platform.
Pega executives highlighted the following announcements at PegaWorld 2025:
Enhanced Pega Blueprint with AI capabilities: The latest release of Pega’s Blueprint app-design software is designed to transform legacy applications (such as COBOL) into modern cloud-native workflows, and uses AI agents to analyze video recordings, code, and documentation to understand the metadata, processes, workflows, and connections used within the legacy application, and then enables rapid application design and a preview version to be built, before any development resources or dollars are committed.
Agentic Process Fabric: This layer is designed to connect AI agents across different enterprise applications and allows the orchestration of workflows and agents across multiple systems, while providing governance and auditability for all AI interactions.
New AI-powered development tools: Pega has added agentic assistance features to App Studio, which are designed to help developers build applications faster by providing automated guidance and test script generation.
Partner Ecosystem Enhancements: Pega ecosystem partners can now inject their own IP into Blueprint, enabling developers to take advantage of the vast domain expertise harvested and refined by their partners, enabling faster creation of domain-specific applications and processes. Pega is also simplifying its product SKUs and pricing models to attract organizations that may have previously considered working with Pega to be too complex or expensive.
Collectively, these new announcements underscore Pega’s strategy of using AI to accelerate enterprise transformation and workflow automation, while leveraging the company’s deep process and decisioning expertise to help customers drive efficiency, productivity, and better customer experiences.
Pegasystems Focuses on App, Workflow, and Process Transformation at PegaWorld
Analyst Take: PegaWorld is always a great event to attend, as the company is willing to make its top executives and strategy leaders – including CEO and Founder Alan Trefler – available to answer questions and share their thoughts in a relatively small setting, This allows us to better understand the longer-term goals and moves the company is making, providing additional context around the announcements made at the show.
It’s clear that Pega’s announcements are focused on the key pain points raised by customers; namely, identifying ways to ensure a return on investment from investments in AI, enabling digital transformation to unlock greater efficiency and productivity; and ensuring that the company’s technology stack is properly set up to take advantage and leverage new technologies, particularly agentic AI.
However, the key areas of focus behind Pega’s announcements – as well as its new product feathers – are not necessarily unique in the marketplace. While each vendor is approaching digital transformation, agentic AI, and rapid application development tools from a slightly different perspective, the messaging, features, and end outcomes from each vendor are likely to be relatively similar.
However, Pega is leaning into a few points of differentiation in order to make the argument that its Pega platform should be the centerpiece of an organization’s application development activities. Chief among them is Pega’s long history and expertise with decisioning and workflow orchestration. Pega highlighted customer stories from Rabobank (which uses Pega’s platform to handle financial crime detection) and Verizon (which uses Pega to create better consumer customer experiences) as examples of customers that are leveraging Pega’s decisioning architecture and workflows to handle a massive amount of decisions each day.
Pega also points to its use of AI to help redesign business processes and workflows, rather than simply focusing on code generation or runtime agents. Pega agents can be used as creative partners to suggest workflow improvements while enabling users to preview and prototype changes at a business level, rather than at a coding level.
Another interesting aspect of Pega’s approach is to integrate predictability and governance with the power of generative AI. The Pega platform is designed to help organizations create AI workflows that can be governed or guarded with specific controls to ensure a high degree of predictability and reliability, which are requirements for use in enterprises.
Like other SaaS vendors, Pega sees the value in connecting AI agents – its own Pega agents, other DIY agents, and AI agents from other SaaS vendors – to ensure smooth, friction-free, and speedy workflows across applications and enterprises. Agentic Process Fabric is Pega’s architecture that allows connecting workflows and agents across different enterprise applications, and provides a comprehensive view of organizational work processes. Unlike other vendors’ messaging, Pega executives underscored the reality of most enterprises, which likely will use multiple vendors to manage agents, depending upon business unit, function, or geography, and noted that its value proposition is based around ensuring its agents and control architecture can play nicely with others.
Most interesting was Pega’s announcement of AI agents that can be configured at runtime to handle ad-hoc workflows, while adhering to specific known processes and guardrails. This functionality is interesting, as it opens up the use of AI agents to handle edge and unknown cases, and then ingests the process knowledge to add to the platform’s workflow and process repository for future cases. This functionality may be particularly interesting to organizations with highly variable customer profiles or scenarios, and permits Pega to have an interesting point of differentiation.
What to Watch:
- Pega’s Blueprint now uses AI agents to automatically ingest and interpret legacy code, documentation, and video recordings, enabling rapid cloud-native conversion previews. It will be imperative for Pega to demonstrate how these capabilities streamline migration projects and reduce time-to-value for customers in a meaningful way.
- Other platform vendors should keep an eye on how to demonstrate differentiation around the way they deploy AI agents, while demonstrating a willingness to support interoperability and agentic communication standards.
- Keep an eye on partner alliances and pricing models that could replicate or undercut Pega’s pricing and go-to-market approach.
- Pega’s competitors should evaluate their own platforms’ ability to combine generative AI with enterprise-grade governance and continuous process improvement.
You can read the press releases on Pega Blueprint features here, or check out a release on Pega Agentic Process Fabric at the company’s website.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other insights from Futurum:
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Pegasystems’ ‘Blueprint’ for Fast-Tracking App and Workflow Dev
Author Information
Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
