6 RESULTS FOR “AGENTS”
AI agents require more than model access. Companies need clear authority boundaries, approval controls, monitoring, ownership, and escalation rules before autonomous systems can operate safely at scale.
Forty vendors, four architectures, one procurement checklist. What actually matters when the demos all look the same.
The first wave of AI workforce planning often began with subtraction. Companies identified tasks that models could perform and translated those capabilities into hiring freezes, efficiency targets, or smaller teams.
An outage becomes a crisis when the organization cannot determine what is broken, who is responsible, what customers should do, or whether recovery is genuine.
A structured way to decide whether an AI capability should be purchased, customized, or built internally based on differentiation, data, risk, integration, and long-term operating cost.
Another order-of-magnitude drop in token prices is quietly re-pricing every AI product roadmap — and resetting the build-versus-buy math for everyone downstream.
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