New Agentic Token Control module gives organizations real-time visibility and control over autonomous AI agent usage, ensuring predictable costs and safe AI scaling
Portal26, The AI Adoption Management Platform, announced the launch of its Agentic Token Control module, a first-of-its-kind capability designed to give organizations precise control over how much their autonomous AI agents consume and spend as they run. As enterprises increasingly deploy AI agents to automate complex workflows, uncontrolled AI resource usage – also known as token consumption – has emerged as a critical risk, driving unpredictable costs, degraded performance, and operational instability. The announcement follows the company’s recent launch of Agentic Management tools that enable AI security and measurable business value.
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“Agentic Token Controls gives organizations the telemetry and confidence to scale AI agents without waking up to an invoice they didn’t plan for.”
Portal26’s new Agentic Token Control module directly addresses this challenge by introducing intelligent guardrails that ensure AI agents operate efficiently, responsibly, and within defined limits.
“Agentic AI is powerful, but without cost controls, it can quickly become expensive and chaotic,” said Arti Raman, CEO of Portal26. “”We’ve watched enterprises like Uber discover the hard way that adoption speed and cost predictability are on a collision course. Agentic Token Control gives organizations the telemetry and confidence to scale AI agents without waking up to an invoice they didn’t plan for.”
Key Capabilities of Agentic Token Control
- Real-Time Token Governance
Monitor and enforce token usage across agents as they operate, preventing uncontrolled loops and excessive consumption. - Policy-Based Limits
Define granular thresholds at the agent, workflow, or organizational level to ensure usage stays within budget and intent. - Adaptive Safeguards
Automatically intervene when agents approach or exceed limits, including throttling, pausing, or terminating execution. - Cost Predictability
Eliminate surprise overages by aligning agent behavior with predefined token budgets. - Operational Visibility
Gain clear insight into how and where tokens are being used across agentic systems.
Addressing a Critical Gap in Agentic AI
As organizations adopt multi-step, autonomous workflows powered by large language models, agents can unintentionally enter recursive loops, over-query systems, or expand tasks beyond their original scope—leading to exponential token usage.
Until now, no dedicated solution existed to manage this risk at scale.
“Agentic cost controls represent a foundational layer for responsible AI operations,” said Pakshi Rajan, Chief Product and AI Officer of Portal26. “It’s more than cost controls—it’s about making agentic systems reliable, governable, and enterprise-ready.”
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