Mastering Token Economics & Preventing Runaway Agent Costs with Nutanix Enterprise AI

Autonomous AI agents are shifting the enterprise landscape from simple, static chatbots to becoming highly productive, decision-making assistants. However, this independence comes with a steep price. Unlike traditional LLM applications, autonomous agents continuously loop, chain decisions, and call external APIs independently. Without strict controls, a single agent stuck in an execution loop can consume exponential tokens and surprise your organization with a massive token bill.

Gartner warns that over 40% of agentic AI projects risk cancellation due to escalating costs. To deliver on the promise of enterprise AI, IT leaders must transition from reactive budgeting to proactive, infrastructure-level cost control.

Join us on August 12th at 8:30 AM PT for a 30-minute Coach Clinic. We will show you how to design a predictable, cost-effective AI foundation that protects your budgets while accelerating innovation.

You’ll learn how to:

• Configure and Enforce Multi-Tenant Rate Limits: Implement global and granular token-based rate limits per user and application to block runaway loops before they escalate.
• Deploy Smart Cross-Model Failover Routing: Automatically shift heavy, resource-intensive workloads from expensive public hosted provider models to cost-efficient, private self-hosted local models running securely on-premises.
• Establish Real-Time Observability: Set up granular token tracking and cost-attribution dashboards so your IT teams maintain full visibility into every system call.

We hope to see you there!