Search for a command to run...
Series
In this series, we examine the technology foundations of the autonomous enterprise for CIOs, covering agentic AI architectures, platforms, data, integration, security, and governance required to build and scale AI-driven enterprises.
As enterprise AI agents move from generating recommendations to taking actions, governance has to move closer to the point of execution. An agent that can approve a transaction, modify a record, deplo
Enterprise AI architectures are becoming more distributed. Organizations are moving beyond individual AI assistants and experimenting with networks of specialized agents that perform tasks across cust
The first wave of enterprise AI focused on prediction, generation, and workflow assistance. The next wave is centered on action. Agentic systems can access applications, invoke tools, make decisions,
For the past three years, enterprise AI strategy has been dominated by a simple assumption: larger models are better models. Each new generation promised stronger reasoning, broader knowledge, and gre
The conversation around agentic AI has shifted decisively from model capability to operational reality. For CIOs and CTOs, the limiting factor is no longer whether intelligent agents can reason, but w
The enterprise AI conversation is entering a decisive phase. After a surge of experimentation with standalone copilots and chat-based assistants, organizations are confronting a harder reality. Value
