New Delhi, June 10(CXO Media): Pega has introduced a new approach to enterprise AI that aims to address one of the biggest concerns around large-scale AI adoption: rising token costs.
At its PegaWorld 2026 event, the company announced that organizations using Pega Infinity 26 will be able to build and run agentic AI workflows without paying token-based charges. Instead of relying heavily on large language model (LLM) reasoning every time an AI agent performs a task, Pega said it shifts most of the reasoning process to the design stage.
As enterprises move AI projects from pilot programs to production environments, many are facing increasing costs linked to token-based pricing models. The issue has become more visible as organizations deploy AI agents across customer service, financial services, healthcare, and other high-volume business functions.
Pega’s new architecture is designed to reduce repeated AI reasoning during runtime. Once workflows are created and approved, AI agents follow predefined processes rather than generating decisions from scratch for every request. The company says this can help improve consistency while lowering operational costs.
The announcement reflects a broader shift in the enterprise AI market, where companies are increasingly evaluating AI investments based on measurable business outcomes rather than experimentation alone.
Pega also introduced an AI Token Cost Calculator that allows organizations to compare estimated expenses between token-metered AI models and workflow-based alternatives. The company plans to make the new pricing model available in the third quarter of 2026, charging customers based on completed business cases rather than AI token usage.
