HABEAS checks whether your data is good enough for AI to work properly.

We review the data you want to use and give you a full written report showing what is sound, what is not, and what needs to be corrected before you move forward.

What we review

Every review is limited to a clearly defined set of data and a clear intended use.

That means we look at the data you want to use with AI, for the job you want AI to do.

We do not make vague claims about everything in the business.
We review what is in scope, properly.

What we check

We check whether the data is clear, complete, and consistent enough for AI to work properly.

That includes simple but important questions like:

Does each record make sense?
Are key details missing?
Are the same people, companies, or transactions recorded more than once?
Do names, dates, amounts, and statuses line up properly?
Has the data been entered in a consistent way?
Are there gaps or contradictions that could cause mistakes?

What you receive

You receive a full written report.

It shows:

what is sound
what is not
where the main risks are
what needs to be corrected before AI is used

At the end, we give a clear conclusion:

good to use now
not ready yet
or good to use once specific issues are corrected

When the report no longer applies

Our report applies to the data we reviewed.

If that data changes in a meaningful way, the position may change too.

That is why the review is tied to the data in front of us at the time.

What HABEAS does not do

We do not sell software.
We do not implement AI.
We do not clean the data for you.
We do not run a long consulting project.

We check whether your data is good enough for AI to work properly.