Operational systems
What WebMCP changes, and what it does not
A new browser standard lets websites hand AI agents a set of callable tools instead of a screen to guess at. It solves one of the four things agents need.
Insights
Notes on operational systems, enterprise AI, and what happens after the demo.
All insights
Operational systems
What agent readiness actually means
Agent readiness is whether the systems you already run can be acted on safely by software, not whether your data is in the cloud.
Operational systems
System of record, warehouse, iPaaS, RPA: what each one is for
Four classes of system that get proposed for the same problem, what each one is actually good at, and the question none of them answers.
Enterprise AI
Why enterprise AI pilots stall
The most quoted statistic in enterprise AI does not survive its own source. Here is what the evidence actually supports, and what it says about the gap between a pilot and production.
Operational systems
What an AI agent needs before it can act
Credentials decide what an agent may do. They do not decide whether the action is the right one. Agent safety is a semantics problem before it is a permissions problem.
After the demo
What happens after the demo
A demo works because a person in the room supplies what the model is missing. Rollout is the moment that supply runs out. What has to be built in between is not a better model.
Enterprise AI
The 85 percent number was never about failure
The most repeated statistic about AI projects says something different from what it is quoted as saying, and it was a forecast that ran out in 2022.
Operational systems
Why two departments disagree about the same job
Finance, operations and legal each hold a different version of the same piece of work, and each version is correct. That is why it is not a data quality problem.
After the demo
What a vendor means when they say done
Delivery and adoption are measured by different people against different definitions, and only one of them appears in the contract.