Confidence tiers prevent the platform from treating all findings as equal. High-confidence findings can be prioritized, while medium, low, and needs-review findings stay in a controlled human-review queue.
Confidence tiers prevent the platform from treating all findings as equal. High-confidence findings can be prioritized, while medium, low, and needs-review findings stay in a controlled human-review queue.
| Control | How Industrial IQ handles it |
|---|---|
| Tiered scoring | Findings are classified by evidence quality, completeness, and analyzer confidence. |
| False-positive control | Industrial discriminator checks reduce unsafe duplicate consolidation. |
| Review routing | Lower-confidence findings are explicitly marked for owner validation. |
Confidence tiers prevent the platform from treating all findings as equal. High-confidence findings can be prioritized, while medium, low, and needs-review findings stay in a controlled human-review queue.
No. Industrial IQ sits above exported operational data and produces evidence, scores, reports, actions, score history, and governance without replacing or writing back to source systems.
Use this trust control to align governance expectations, then run the relevant Industrial IQ diagnostic engine or Industrial IQ Snapshot.
Grounded in approved AI2COE content only. No unsupported claims.