KPI benchmark
How much search time does AI save staff?
Across 5 public AI deployments, the median search time reduction is 90%. Reduction in time staff spend looking for information.
90%
Median search time reduction
5
Public deployments pooled
2 of the 5 values are claims by the organization itself, a regulator or an independent study; 3 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
Time study or telemetry of time to find the right document or answer, before and after.
Across the library
Median 90% across 5 deployments, reported range 25% to 99.2%.
Higher is better. Unit: percent.
Reported values by use case
AI enterprise knowledge search for employees
- Zain Jordanabout 95% · organization claim
- All Nippon Airwaysabout 90% · organization claim
AI video analytics and screening for physical security
- Koganat least 90% · vendor claim
- GAIL's Bakery25% · vendor claim
AI metadata tagging and indexing for media archives
- Condé Nast99.2% · vendor claim
Use cases that should track search time reduction
- AI assistant for corporate treasury teams
- AI copilot for plant operators and maintenance technicians
- AI enterprise knowledge search for employees
- AI for legislative drafting and parliamentary question support
- AI metadata tagging and indexing for media archives
- AI research assistant in university library search
- AI review and extraction of existing estate and trust documents
- AI review of batch records and process data for quality deviations in pharma manufacturing
- AI video analytics and screening for physical security
Frequently asked questions
- How much search time does AI save staff?
- Across 5 public AI deployments, the median search time reduction is 90%. Reduction in time staff spend looking for information.
- How do you measure search time reduction?
- Time study or telemetry of time to find the right document or answer, before and after.
- Where do these search 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.