How to Reduce AI Costs by up to 75x and Combat Token Maxing | GBPA Podcast
Is your company spending more than it should on Artificial Intelligence ? đź’ˇ
In this excerpt from the GBPA Podcast, Fernando Piazza , head of Workato in Latin America, warns about the "Token Maxing" trap — the industry's tendency to encourage the recurring and uncontrolled consumption of Learning Management Languages (LLMs).
Because they are inherently unpredictable, isolated models require continuous checks that trigger resource consumption without guaranteeing the necessary business context. Discover how the union between AI orchestration and graph technology creates boundaries, adds governance, and allows companies to achieve dramatic reductions of 6 to 75 times in AI costs. Explore GBPA 's portfolio and leverage RPA, AI, Workflow, and Integrations to accelerate results.
Check out other posts: https://www.gbpa.com.br/post/a-inova%C3%A7%C3%A3o-com-agentes-de-ia-sem-abrir-m%C3%A3o-da-cyber-seguran%C3%A7a https://www.gbpa.com.br/post/gbpa-podcast-epis%C3%B3dio-01