Pegasystems Inc. has integrated its Pega Blueprint AI application design agent with Amazon Web Services (AWS) Transform to help organizations modernize mainframe applications faster. The integration allows clients to extract and analyze legacy COBOL code with AWS Transform and reimagine it with Pega Blueprint AI into new cloud-ready agentic applications through a single interface. This solution aims to simplify enterprise transformation by reducing the friction associated with moving from outdated systems to modern cloud infrastructure.

Addressing legacy complexity

Mainframe modernization has become a priority for enterprises adopting AI agents at scale, yet initiatives are often slowed by undocumented logic and fragmented tools. Organizations frequently struggle with costly, time-consuming lift-and-shift migrations that can replicate legacy inefficiencies in the cloud. The combination of Pega Blueprint AI and AWS Transform enables application discovery and business rules extraction from COBOL systems, allowing them to be reimagined for the digital world.

Seamless modernization process

AWS Transform analyzes COBOL code and generates documentation capturing business rules, logic, processes, and data structures. Pega Blueprint AI, powered by Gen AI and industry best practices, ingests this output to autonomously generate future-state, cloud-ready application designs without leaving the AWS Transform interface. The integration enables businesses to modernize dated workflows and accelerate time to value by transforming legacy processes into agile modern workflows.

Key benefits of the integration

Availability and industry support

Pega Blueprint AI is now available within AWS Transform at no additional cost to clients. The integration is being showcased at PegaWorld, the annual user conference in Las Vegas. Executives from AWS and Unum Group highlighted the partnership's role in accelerating enterprise transformation. Unum Group is utilizing these tools to modernize its COBOL-based claims platforms, aiming to simplify technical complexity and improve operational efficiency.

Pegasystems Inc. announced at PegaWorld that clients can now design, build, and run agentic workflows across Pega Infinity 26 without paying per token. The Pega Predictable AI architecture shifts heavy AI reasoning to design time, ensuring runtime agents are fast, reliable, and cheaper to run. This approach addresses escalating token costs and unreliable outcomes, offering a flat price per completed case regardless of AI usage behind the scenes.

Market Context and Challenges

Token bills are shocking enterprise leaders as LLM providers convert flat-rate subscriptions to expensive token-metered pricing. Complex requests require more reasoning steps, increasing costs and the likelihood of inconsistent answers. Gartner reports that over 40% of agentic AI projects may be canceled by 2027 due to rising costs and unclear business value. Pega's outcomes-based model charges per completed task, aligning costs directly with business value.

Architectural Difference

Pega applies AI reasoning at design time using Pega Blueprint AI and Pega Infinity Studio to reimagine processes. Once deployed, the system shifts to a lightweight semantic mode for runtime. Agents use a lightweight AI query to understand user intent and follow pre-approved workflows step-by-step. This eliminates the need to re-reason each new workflow, ensuring consistency and efficiency.

Key Benefits

The new architecture delivers two critical advantages:

• Predictable outcomes: Agents follow pre-approved workflows consistently, which is critical for regulated industries.
• Predictable costs: AI reasoning occurs once at design time, not repeatedly at runtime, making it more efficient and affordable.

To quantify savings, Pega introduced an AI Token Cost Calculator. This interactive tool estimates potential savings by comparing Pega AI with token-metered alternatives, with some clients realizing savings of more than 20x.

New Pre-Built Agents

Pega introduced pre-built agents to automate workflows further:

Availability and Industry Support

Pega Infinity 26 will be available in Q3. Industry leaders emphasized the importance of these developments. Alan Trefler, founder and CEO of Pega, stated that charging by meaningful work accomplished rather than token usage provides organizations freedom to use AI agents. Liz Miller of Constellation Research noted that solutions consuming tokens with high efficiency will provide a competitive advantage.