How to Control AI Token Costs Without Slowing Innovation

AI is quickly becoming a core part of enterprise operations, helping organizations automate workflows, improve productivity and accelerate innovation. But with broader adoption comes rising token consumption, increasing AI costs and the need for stronger governance to keep AI initiatives on track.

Join Spectro Cloud and Carahsoft for an educational discussion on practical strategies organizations can use to regain control of AI spending without limiting innovation. We'll explore how enterprises can intelligently route AI requests between local and frontier models, implement governance policies, improve visibility into AI usage and reduce operational costs while maintaining performance.

Whether you're just beginning to scale AI initiatives or looking to optimize existing deployments, you'll leave with actionable insights for building a more cost-effective and secure AI strategy.

During this webinar, attendees will learn:

• Why AI token consumption is becoming one of the fastest-growing operational expenses.
• The tradeoffs between building your own AI infrastructure, relying entirely on cloud AI services and adopting a private AI platform.
• How intelligent multi-model routing can reduce costs while maintaining access to frontier models when needed.
• Best practices for governing AI usage through quotas, rate limits, auditing and policy enforcement.
• How organizations can measure AI usage, estimate savings and build a roadmap for scalable enterprise AI.

Register today to learn how your organization can reduce AI inference costs, improve governance and accelerate enterprise AI adoption without sacrificing flexibility or innovation.