Where do these unplanned downtime reduction numbers come from?

From public AI deployments in the Blits.ai AI Use Case Library. Every value is quoted from a named source, each organization counts once, and "up to" claims are listed but left out of the median. Data as of 12 November 2026.

KPI benchmark

How much does AI reduce unplanned downtime?

Across 3 public AI deployments, the median unplanned downtime reduction is 86%. Relative reduction in unplanned downtime, unplanned shutdowns or equipment failures.

86%

Median unplanned downtime reduction

Public deployments pooled

3 of the 3 values are claims by the organization itself, a regulator or an independent study; 0 come from the AI vendor. One value per organization; "up to" claims are listed but not pooled. Data as of 12 November 2026. Methodology

How to measure it

Hours of unplanned downtime, or the number of unplanned shutdowns or failures, per asset and period, before and after, on a comparable fleet.

Across the library

Median 86% across 3 deployments, reported range 15% to 90%.

Higher is better. Unit: percent.

Reported values by use case

AI copilots for production scheduling and sequencing

Hyundai Motor Groupabout 86% · organization claim

AI predictive maintenance for freight rail rolling stock

Canadian Pacific Kansas Cityat least 90% · organization claim

AI predictive maintenance for industrial and energy assets

Tenaga Nasional Berhad (TNB)at least 15% · organization claim

Use cases that should track unplanned downtime reduction

Frequently asked questions

How much does AI reduce unplanned downtime?: Across 3 public AI deployments, the median unplanned downtime reduction is 86%. Relative reduction in unplanned downtime, unplanned shutdowns or equipment failures.
How do you measure unplanned downtime reduction?: Hours of unplanned downtime, or the number of unplanned shutdowns or failures, per asset and period, before and after, on a comparable fleet.
Where do these unplanned downtime reduction numbers come from?: From public AI deployments in the Blits.ai AI Use Case Library. Every value is quoted from a named source, each organization counts once, and "up to" claims are listed but left out of the median. Data as of 12 November 2026.