As ‘Agent-First’ AI Falters, Vera Introduces a Closed-Loop Model for Enterprise Execution

The real differentiator isn’t whether you have agents. It’s whether those agents are anchored to validated need, ...

Google's Opal just quietly showed enterprise teams the new blueprint for building AI agents

Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — ...

AI Agents Are The New Employees, And They Need Just As Much Oversight

Let’s look at an agent’s resemblance to employees through the typical lens of onboarding, employment and offboarding.
InfoWorld

FinOps for agents: Loop limits, tool-call caps and the new unit economics of agentic SaaS

The first time my team shipped an agent into a real SaaS workflow, the product demo looked perfect. The production bill did not. A small percentage of sessions hit messy edge cases, and our agent ...
Supply Chain Management Review

From human-in-the-loop to human-on-the-loop: An AI agent architecture for proactive planning

Supply chain planning tools are not new. Most organizations today rely on established sys-tems for demand planning, supply ...
CIO

What AX can do to deliver cohesion and uniformity to AI agents

UX and DX are about making users and developers more effective by building systems and interfaces that fit the way they work.

Getting Super-Agents This Year, Says IBM Roundup

IBM predicts 2026 super-agents, control planes, and objective-validation protocols guiding autonomous multi-agent workflows safely ahead.