Insight · · 4 min readDemo listing
Reviewable AI: putting people in the loop by design
Why every AI suggestion that changes a business record should be visible, explainable and approved by a person.
By Medhavya Systems
AI can remove a great deal of repetitive work from operations teams. But when an AI system writes directly into business records, mistakes become expensive and hard to trace.
Our approach is to treat AI output as a proposal. It is shown to a person, with the source it came from, and only committed when approved.
What reviewability means in practice
Each suggestion carries its source document and the fields it affects. Reviewers can accept, correct or reject it. Corrections are recorded, and correction rates are monitored so teams can see where automation helps and where it does not.
Where we draw the line
In clinical, legal and credit contexts, AI assists people; it does not decide for them. These limits are part of the design, not an afterthought.