KPI benchmark
How much faster do new hires ramp up with AI?
Across 4 public AI deployments, the median time to proficiency reduction is 20% (all vendor reported). Reduction in the time new staff need to reach full productivity.
20%
Median time to proficiency reduction
4
Public deployments pooled
0 of the 4 values are claims by the organization itself, a regulator or an independent study; 4 come from the AI vendor. One value per organization; "up to" claims are listed but not pooled. Data as of 29 September 2026. Methodology
Time to proficiency reduction by use case
| Use case | Median | Deployments |
|---|---|---|
| AI roleplay training for customer conversations | 20% | 4 |
How to measure it
Weeks from start date to a defined proficiency standard, before and after, for comparable cohorts.
Across the library
Median 20% across 4 deployments (vendor reported), reported range 15% to 55%.
Higher is better. Unit: percent.
Reported values by use case
AI roleplay training for customer conversations
- GoHealth55% · vendor claim
- BillGO20% · vendor claim
- Oracle NetSuite20% · vendor claim
- OneTouch Direct15% · vendor claim
Use cases that should track time to proficiency reduction
Frequently asked questions
- How much faster do new hires ramp up with AI?
- Across 4 public AI deployments, the median time to proficiency reduction is 20% (all vendor reported). Reduction in the time new staff need to reach full productivity.
- How do you measure time to proficiency reduction?
- Weeks from start date to a defined proficiency standard, before and after, for comparable cohorts.
- Where do these time to proficiency 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 29 September 2026.