Human oversight works only when reviewers have authority, context and enough time to change the outcome.
Adding a person to a workflow does not automatically make an automated decision accountable.
A reviewer must be able to inspect relevant evidence, understand the system’s uncertainty and reverse an output.
Teams should monitor patterns of error and improve the process instead of treating every failure as an isolated exception.
Why our products separate extracted facts, user explanations and automated analysis before reaching a conclusion.
Language, trust, regulation and everyday constraints determine whether technology becomes genuinely useful.
Resilient digital products preserve progress, explain status and recover cleanly when networks fail.
A better way to choose where automation belongs in a team and where human judgement must remain.
