Articles on putting AI agents to work in a business: how to evaluate them, how to govern them, and how AIOS is built and priced.
AI can now finish more than a day's work on its own, and US productivity has barely moved. Four charts on the distance between the two, and how AIOS is built to close it.
cvlSoft / 7 min read
An agent can give a convincing answer in a demo while leaving most of the production problem untouched.
cvlSoft / 6 min read
Why AIOS separates enterprise intelligence from execution, and reserves agent-to-agent communication for genuine delegation.
cvlSoft / 6 min read
An audit asks five things of any AI agent: what it was allowed to do, what it did, who approved it, whether it still does what was tested, and whether it can be stopped. Here is the evidence that answers each.
cvlSoft / 3 min read
The model is the cheap part of an enterprise AI system. The cost is the seams around it: connections, memory, policy, operations and channels. That is what decides whether to build or buy.
cvlSoft / 2 min read
An agent can keep working while its behavior slowly moves away from the system that was tested. The real challenge is keeping agents reliable as the policies, tools, workflows, and conditions around them change.
cvlSoft / 7 min read
The rush to build an agent for every task is creating a new generation of software silos. AIOS takes the opposite approach: one cognitive core connected to every task, domain, channel and modality across the business.
cvlSoft / 6 min read
AIOS is an AI workforce that runs your entire company on one complete harness: it learns how the work is done, holds what the company knows, runs, governs and bills that work on every channel, builds the capabilities it is missing, and stays yours. Assembling the equivalent takes eight platforms, and the seams between them are where omnichannel AI dies.
cvlSoft / 13 min read
If software is doing the work, customers should pay for finished work, not for seats. Here is how AIOS checks each run against its goal before it charges an outcome fee.
cvlSoft / 7 min read
Three engagement models: a managed service, a Center of Excellence, an embedded pod. One rule applies to all three: what done means is agreed and baselined before any work starts.
cvlSoft / 7 min read