AI does more than produce output. It finds flaws, proposes fixes,
influences workflows, and affects decisions.
TraceABEL is a private research and development project exploring
how AI-related decisions can become easier to see, test, govern,
and document.
Visibility by design for AI-related decisions.
When AI finds the flaw and proposes the fix, what exactly are we trusting?
TraceABEL works on a decision lens for AI-related actions: a way to make visible where an action lands, why it lands there, who owns the decision, and what should be documented afterward.
The goal is to make the decision field visible enough that people and organizations can act responsibly.
AI-related actions should be easier to see in context.
Rules, boundaries, and outcomes should be easier to examine before trust is assumed.
Systems can assist, but people and companies own the decision.
Decisions should leave a trace that can still be understood after the model has answered.
TraceABEL is currently in private development. The project is not yet available as a product or service.
Relevant inquiries are welcome.
contact@traceabel.dk
