The token tax: Why AI agents are eroding margins
Reduce the hidden cost of AI by minimizing unnecessary reasoning and token consumption
Build reliability into AI-driven operations through deterministic workflows and governed decisioning
Lower compliance and business risk by keeping critical decisions under business control
Apply AI where it creates value most while using orchestration to manage everything else
Drive measurable ROI with an architecture designed for scale, predictability, and performance
Autonomous AI agents are eroding the margins they were supposed to protect. This paper explores why so many AI initiatives struggle to deliver measurable business value—and how the right architecture helps organizations balance speed, reliability, governance, and ROI.
As enterprises race to deploy AI-powered applications and agents, costs become unpredictable, compliance risks grow, and operational control starts to erode. The problem isn't AI itself—it's where and how it's applied.
The organizations seeing the greatest returns aren't deploying more AI. They're deploying it with more discipline. This paper helps enterprise leaders:
Reimagine sus procesos y convierta cualquier flujo de trabajo en una aplicación lista para su implementación con total confianza.
Visualice los recorridos del cliente y las estrategias de engagement a través de todos los puntos de contacto y actívelos.