Pegasystems Ditches Token Pricing for Flat-Rate AI Workflows

Pegasystems Ditches Token Pricing for Flat-Rate AI Workflows

Pegasystems has released Pega Infinity 26, fundamentally restructuring how enterprises pay for agentic AI by abandoning token-based pricing in favor of a flat rate per completed business case. The company relocates complex AI reasoning from runtime to the design phase, dramatically reducing token consumption during execution and giving customers fixed, predictable costs tied directly to business outcomes.

According to Pegasystems, this architectural shift can deliver savings exceeding 20 times compared to traditional token-metered models. The company provides an AI Token Cost Calculator to help customers quantify potential reductions. The strategy directly targets regulated industries and large-scale enterprises that have hesitated to deploy AI at scale due to unpredictable cost escalation.

Why it matters

Unpredictable AI costs have become a critical barrier to enterprise adoption, especially in sectors with strict budget controls. By eliminating token variability and linking pricing to completed work rather than computational overhead, Pegasystems is forcing competitors to reconsider how they charge for AI-powered automation. If this model proves reliable, it could accelerate agentic AI deployment in mission-critical workflows where cost uncertainty has been a dealbreaker.

Enterprise buyers demand cost transparency

The timing aligns with shifting enterprise expectations. Futurum Group research cited in the analysis shows that 78 percent of organizations plan to increase AI budgets, yet 63 percent still allocate 10 percent or less of technology spending to AI. Token-based pricing unpredictability has been a significant constraint, particularly in regulated environments.

The same research indicates that consumption-based and outcome-based pricing now represent more than half of enterprise preferences for AI pricing models, while traditional per-user-per-month structures have fallen to just 20 percent. Pegasystems is betting that predictability and domain-aligned value will outweigh the flexibility of open LLM APIs with opaque cost structures.

Broader industry shift toward outcome-based models

Pegasystems joins a growing movement away from usage-based AI pricing. Vendors including Zendesk, Intercom, and Decagon have already committed to charging only for successful AI resolutions. Hybrid models are emerging from Adobe, Automation Anywhere, Salesforce, ServiceNow, and UiPath. Pegasystems distinguishes itself by eliminating token variability entirely through design-phase reasoning, rather than simply capping or discounting runtime costs.

Execution challenges remain

The approach concentrates risk in upfront configuration and governance. Futurum Group survey data shows that reliability and hallucination management remain the top GenAI adoption challenge at 55 percent, with data privacy and security at 53 percent. Enterprises will scrutinize whether Pegasystems can deliver consistent agent performance across complex, regulated workflows without introducing new bottlenecks or governance gaps.

The competitive response will be telling. Major workflow automation vendors may introduce their own outcome-based or flat-rate AI pricing within the next year. LLM providers and platform vendors could counter with hybrid models that blend flexibility with cost controls.

Details of the Pega Infinity 26 launch were first reported by Futurum Group.