CloudBuilder AI
AI implementation

AI where it helps, plumbing where it doesn't

The useful question is not whether to use AI. It is which parts of a job need judgement, and which parts just need moving accurately from one place to another.

Get a free look →What it costs

Good jobs for a model

Reading a messy invoice or a scanned form. Sorting incoming email by what it is about. Drafting a first reply for a person to approve. Pulling the relevant clause out of a long document.

Bad jobs for a model

Anything that has to be exactly right every time with no human looking. Moving a number between two systems is plumbing: deterministic, testable, boring. Using a model there adds cost and a failure mode you did not have before.

A person stays in the loop

Anything that goes out under your name, moves money, or cannot be undone gets a human approving it. That is a design rule here, not a setting we might turn off later.

Common questions

Will it make things up?
A model can, which is exactly why the design decides where one is allowed to act. Where accuracy is non-negotiable we do not use a model. Where we do, the output is checked against the source or approved by a person before it counts.
Whose AI do you use?
Whatever fits the job and your constraints, including running things privately where the data cannot leave. We are not reselling a particular vendor, so the choice is made on the task.
What does it cost to run each month?
We estimate it before the build and tell you what drives it up, so there is no surprise line item later.