What the record already says.
Organizations have adopted new technology badly for decades, and the failures are well documented. We write about what that record shows. Posts are dated, and every number belongs to whoever measured it.

. 7 minute read.
Attackers now run AI agents. Their target is your keys.
In October three hosting platforms said attackers may have reached the keys their customers stored with them, many of them keys to AI services. The incident reports, threat research and agency guidance agree on what to do first.

. 4 minute read.
Prior authorization has a clock now. The research is still yours.
From 2026 a federal rule gives many insurers seven days to answer and requires a reason for every denial. The hours go into preparing the request, and that is the part an agent can do.

. 4 minute read.
What an AI agent is. And what it may do alone.
The companies that build the models define an agent as a model that chooses its own steps. The rules for clinics, banks and law firms already say where a person has to stand.

. 4 minute read.
Start with the smallest model. Move up only when it fails.
By Stanford’s count, the price of a fixed level of AI performance fell more than 280-fold in two years. For sorting work, a small model trained on your own cases can beat a large general one.

. 4 minute read.
Most AI projects stall. The studies say why.
S&P Global surveyed 1,006 companies and RAND interviewed 65 engineers about projects that failed. The causes they found are older than the models, and a trial can test for each one.

. 6 minute read.
Where Jev fits in a regulated system. And where it doesn’t.
A new kind of model answers yes, no, or a pick from your list. Here is where it belongs in a clinic, a bank or a law firm, and where it doesn’t, from its maker’s own documentation.

. 7 minute read.
Jev says it is 95% sure. Check that on your own files.
A new kind of model answers with confidence scores. For a bank, a clinic or a law firm, the question is whether those scores hold on its own files.

. 5 minute read.
Seventeen minutes of work. Twenty-two days in the building.
An insurer told Michael Hammer that number in 1990. It is still the number that decides whether AI does anything for a back office.