New capabilities connect third-party agents to Pega processes, delivering predictable outcomes with predictable costs
LAS VEGAS, June 08, 2026–(BUSINESS WIRE)–Pegasystems Inc. (NASDAQ: PEGA), the enterprise AI software company for mission-critical work, today at PegaWorld® announced new capabilities that enable enterprises to use their custom-built AI agents to drive essential business processes without sacrificing governance, compliance, or cost controls.
With added support for the open MCP (Model Context Protocol) standard, Pega processes can now be discovered and executed by authorized third-party agents, including those built on Anthropic Claude, Google Gemini, OpenAI, AWS AgentCore, and more. This opens the growing universe of agents to millions of Pega-powered workflows, giving organizations predictable outcomes and predictable costs for their mission-critical work.
Market Context: More agents, more uncertainty
AI agents hold enormous promise, but hallucinations, compliance gaps, and runaway token costs are stalling projects before they can deliver value. Gartner reports over 40% of agentic AI projects will be canceled by the end of 2027 due to escalating costs, unclear business value, and inadequate controls. Without a smart approach to reliably orchestrate and run their agents, enterprises risk turning agent innovation into operational uncertainty.
A Closer Look: Predictability, speed, and scale where it matters most
With Pega’s built-in MCP capabilities, enterprises can deploy agents while maintaining the reliability, auditability, and predictability needed to run their core processes. Other approaches typically require agents to re-reason the process at every step, risking unpredictable results and huge token costs. By connecting to Pega’s industry-leading business orchestration and automation technology (BOAT) platform, agents can discover and execute Pega workflows, which then guide the agent step-by-step for consistent and predictable outcomes and cost.
At each workflow step, Pega can invoke external agents to automate manual work and reuse agents built for other purposes. Pega Blueprint AI™ workflow design agent helps identify where these step agents can increase efficiency, while Pega’s industry-leading orchestration audits agent interactions across the process lifecycle.
In addition, Pega introduced pre-built agents available to help drive further automation:
Proactively engage a person when needed: The new agentic assignment agent uses AI to reach out to an employee or customer when additional data or approvals are needed to complete a request. This approach pulls in a human via email, chat, or telephony without requiring manual outreach.
Automate document processing: The new document agent analyzes and acts on complex documents – intelligently splitting, categorizing, bounding, scoring, and triaging them for further processing. A new chat feature lets employees ask questions about their PDFs, documents, and images for instant insights.
