#pega Tech News.

Pega announced a more efficient way to build and run agentic workflows, eliminating what the company calls the 'AI Token Tax'. The approach reduces token consumption and operational costs for enterprise AI deployments. Pega's method aims to streamline agentic workflow construction and execution without excessive computational overhead.

Pega recognized partners at PegaWorld 2026 for driving AI-powered enterprise transformation. The event highlighted partner contributions to advancing artificial intelligence within enterprise systems. Awards were given to organizations demonstrating significant impact through Pega's AI capabilities.

Pega announced the Solution Designer Initiative to redefine AI driven transformation. The initiative aims to help organizations build and deploy AI solutions more effectively. Pega's announcement focuses on enabling better business outcomes through structured AI implementation approaches.

Pega launched an AI-driven modernization capability on AWS to reimagine legacy mainframe applications into cloud-native systems. The company announced the new offering, which targets the transformation of outdated mainframe apps into modern, cloud-native architectures using artificial intelligence.

Pega harnesses best practices and AI coding agents to build applications with mission-critical reliability. The approach combines established development patterns with artificial intelligence to ensure application stability and dependability. This strategy aims to deliver enterprise-grade software through automated coding assistance.

Pega launched Customer Engagement Studio to transform marketing operations using agentic AI. The platform aims to automate and optimize customer interactions through intelligent agents. This release targets improved marketing efficiency and personalized engagement at scale.

Pega announced that its AI agents are now powering mission-critical work with increased reliability. The company's platform enables these agents to handle complex enterprise workflows autonomously. This capability targets organizations requiring dependable automation for core business processes.