KPI benchmark

How much does AI reduce average handling time?

Across 41 public AI deployments, the median handling time reduction is 60%, and the middle half of them report between 41% and 82%. Reduction in average handling time per contact or case.

60%

Median handling time reduction

41% to 82%

Middle half of deployments

41

Public deployments pooled

15 of the 41 values are claims by the organization itself, a regulator or an independent study; 26 come from the AI vendor. One value per organization; "up to" claims are listed but not pooled. Data as of 11 November 2026. Methodology

Handling time reduction by industry

Median handling time reduction by industry
IndustryMedianDeployments
Healthcare45.5%8
Banking67%7
Insurance50%4
Technology and software71.5%4
Pharma and life sciences85%3

How to measure it

Compare average handling time per contact or case before and after, on the same case mix, over at least one full month.

Across the library

Median 60% across 41 deployments, reported range 8.2% to 97%, plus 5 "up to" values not pooled.

1 reported value (multiplier), listed per use case below.

Higher is better. Unit: percent.

Reported values by use case

AI income and document verification for mortgage underwriting

Real time AI assist for contact center agents

AI agent for first line contact center service

AI for health insurance prior authorization and claims adjudication support

AI for PEP and adverse media screening

AI for RFP, tender and sales proposal response drafting

AI for supplier invoice processing in accounts payable

Use cases that should track handling time reduction

Frequently asked questions

How much does AI reduce average handling time?
Across 41 public AI deployments, the median handling time reduction is 60%, and the middle half of them report between 41% and 82%. Reduction in average handling time per contact or case.
How do you measure handling time reduction?
Compare average handling time per contact or case before and after, on the same case mix, over at least one full month.
How does handling time reduction differ by industry?
The median handling time reduction is 45.5% in healthcare (8 deployments), 67% in banking (7 deployments), 50% in insurance (4 deployments), 71.5% in technology and software (4 deployments) and 85% in pharma and life sciences (3 deployments). Industries with fewer than 3 reported values are not shown.
Which AI use cases report the best handling time reduction?
Among use cases with at least 3 reported values: AI income and document verification for mortgage underwriting (median 78.5%, 4 deployments); AI for health insurance prior authorization and claims adjudication support (median 50%, 3 deployments); real time AI assist for contact center agents (median 35%, 4 deployments); AI agent for first line contact center service (median 30%, 3 deployments).
Do AI vendors report a different handling time reduction than the organizations themselves?
Claims by the organizations themselves, regulators or independent studies have a median of 50% (15 values); claims by the AI vendor have a median of 65.5% (26 values). The page lists both, and every value links to its source.
Where do these handling time 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 11 November 2026.