Designing Human-in-the-Loop Systems for Manufacturing AI

Designing Human-in-the-Loop for Manufacturing AI

AI in manufacturing isn’t about replacing expertise, it’s about amplifying it.
Yet automation without human oversight can create new kinds of risk: silent errors, false positives, and black-box decisions.

Human-in-the-loop (HITL) design solves this by pairing AI precision with human judgement.
Customiser AI applies this principle across workflows: BOM extraction, PO reconciliation, and document comparison. AI performs the repetitive parsing; engineers validate and approve before release.

This model builds trust in automation because it keeps accountability visible.
Each decision, correction, and exception is logged - creating both confidence and auditability.

The core design rule:

AI should handle what is tedious; humans handle what is consequential.

With HITL, automation doesn’t remove control, it restores it, by removing the noise between data and decision.