Answer an audit with records, not with a reconstruction.
Every call carries the policy that governed it, the controls that ran and the decision each one made, written at the moment it happened rather than assembled from logs six months later.
AI evidence debt accumulates when you deploy AI faster than you capture verifiable proof of the policies, approvals and controls behind every action.
Nobody discovers this problem in a planning meeting
A reviewer asks which policy was in force for a request from March.
An enterprise buyer wants control evidence, not a description of intent.
A supervisory authority asks for records of processing decisions, per request.
Sampling picks 30 requests and expects the same artefact for each one.
You need the call chain and the approvals behind an action that already happened.
The control set moved, and last quarter of evidence no longer matches the config.
The bill arrives as delay, not as an incident
Deployment waits on evidence that has to be assembled by hand.
Security questionnaires add weeks to every enterprise cycle.
Someone rebuilds what happened from logs, tickets and screenshots.
Platform time goes into one-off queries instead of product.
Nobody can name who approved the behaviour that shipped.
The gap
The control
One record per request, created while the request is being governed.
This is the shape of the record obstruo produces. It is the same artefact a reviewer, an auditor and an enterprise buyer each ask for, and it exists before they ask.
They arrive together, and the same controls answer them
Your AI. Your data. Your control.
Bring one request your last security review asked about. We will show the record obstruo would have produced for it.