KPI benchmark

How accurate is AI in production?

Across 47 public AI deployments, the median accuracy is 91%, and the middle half of them report between 87.5% and 96%. Share of outputs that are correct on a checked sample.

91%

Median accuracy

87.5% to 96%

Middle half of deployments

47

Public deployments pooled

27 of the 47 values are claims by the organization itself, a regulator or an independent study; 20 come from the AI vendor. One value per organization; "up to" claims are listed but not pooled. Data as of 11 November 2026. Methodology

How to measure it

Human review of a random sample of outputs against a written standard.

Across the library

Median 91% across 47 deployments, reported range 42% to 100%, plus 2 "up to" values not pooled.

Higher is better. Unit: percent.

Reported values by use case

AI document intelligence for unstructured forms and documents

AI for IT incident triage and root cause analysis (AIOps)

AI for product feedback and bug report triage

AI clinical trial patient matching and prescreening

Real time AI assist for contact center agents

Use cases that should track accuracy

Frequently asked questions

How accurate is AI in production?
Across 47 public AI deployments, the median accuracy is 91%, and the middle half of them report between 87.5% and 96%. Share of outputs that are correct on a checked sample.
How do you measure accuracy?
Human review of a random sample of outputs against a written standard.
How does accuracy differ by industry?
The median accuracy is 86% in government and public sector (11 deployments), 95% in insurance (8 deployments), 90% in technology and software (8 deployments), 96.5% in banking (6 deployments), 98.9% in healthcare (4 deployments) and 96.5% in logistics and transportation (4 deployments). Industries with fewer than 3 reported values are not shown.
Which AI use cases report the best accuracy?
Among use cases with at least 3 reported values: AI document intelligence for unstructured forms and documents (median 98%, 4 deployments); AI for inbound correspondence triage and routing (median 91%, 3 deployments); AI for IT incident triage and root cause analysis (AIOps) (median 90%, 3 deployments); AI for product feedback and bug report triage (median 90%, 3 deployments).
Do AI vendors report a different accuracy than the organizations themselves?
Claims by the organizations themselves, regulators or independent studies have a median of 90% (27 values); claims by the AI vendor have a median of 94.7% (20 values). The page lists both, and every value links to its source.
Where do these accuracy 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 11 November 2026.