Pegasystems adds agent orchestration and flat-rate pricing to AI platform
Workflow automation vendor Pegasystems Inc. announced a suite of AI enhancements aimed at helping enterprises deploy AI agents in business-critical processes while controlling costs and maintaining governance. The updates, unveiled at PegaWorld and expected in Q3 2026, address growing concerns about uncontrolled spending on large language model-based AI.
The core problem Pega is targeting: organizations are burning tokens-the data building blocks that LLMs process-without measurable business value. Most AI providers charge per token consumed, creating unpredictable costs and incentivizing runtime reasoning over efficient design.
Model Context Protocol support
Pega expanded support for the open Model Context Protocol, allowing third-party AI agents from Anthropic, Google, OpenAI, and Amazon Web Services to invoke Pega-managed workflows while adhering to enterprise controls. This means agents built on Claude, Gemini, or other platforms can tap into your business processes without bypassing governance.
The company argues that many agentic AI approaches rely too heavily on repeated LLM reasoning, driving both inconsistent outcomes and high costs. Pega's alternative is what it calls "predictable AI"-shifting most reasoning to application design time rather than runtime execution.
New development tools and pricing
Pega launched Infinity Studio, a redesigned development environment that integrates with GitHub Copilot, Claude Code, and OpenAI Codex. Developers can use natural-language instructions to configure integrations, design workflows, and modify interfaces. The platform automatically generates implementation plans and exposes workflows via Model Context Protocol interfaces.
The company introduced two new agent services: an assignment agent that automatically contacts employees or customers for approvals, and a document-processing agent for analyzing and extracting information from files.
Most notably, Pega shifted away from token-based pricing. Customers now pay a flat fee per completed business case rather than per token consumed. The company estimates some customers could reduce AI costs by more than 20 times, depending on workflow complexity.
CEO Alan Trefler said the approach addresses what he calls the "AI token tax." Rather than charging for consumption, Pega charges for meaningful work accomplished.
Skills and methodology
Pega announced the Solution Designer Initiative, a training and credentialing program offering free credentials through Pega Academy and Blueprint delivery workshops. The company said early customers using its Blueprint methodology reported 50% faster discovery, with 80% of projects going live within 90 days.
For IT and development professionals, these tools address a practical challenge: AI agents and automation require careful orchestration to avoid operational risks and cost overruns. AI for IT and development work increasingly means understanding how to integrate agents into existing workflows rather than building autonomous systems from scratch.
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