It support · Production

Aisera AI Service Desk achieves 75% auto-resolution rate at national healthcare provider

The problem

A national healthcare provider handling an average of 100,000 support tickets per month faced escalating strain as remote working and tele-health adoption surged, resulting in higher costs, burdened staff, and difficulties accessing medical records, scheduling appointments, and responding to EMS calls.

Workflow diagram · grounded in source
1
High-volume ticket intake
trigger
“With an average of 100,000 tickets per month and a recent shift to remote working and tele-health services, the high volume of support requests challenged this healthcare provider”
2
AiseraGPT auto-resolution
ai_action
“Aisera's AI Service Desk, via its AiseraGPT interactions, provided fast, accurate, and around-the-clock auto-resolutions to deliver better self-service experiences for hospital employees and patients”
3
Self-service delivery to employees
output
“we have enabled our employees with immediate self-service options so they can focus on getting patients the help they need when they need it”
Reported outcome

Through Aisera's Generative AI solution, the healthcare provider achieved 80% improved employee productivity, 90% improved mean-time-to-resolution, a 75% auto-resolution rate, and enormous cost savings, while enabling employees with immediate self-service options.

Reported metrics
Employee productivity improvement80%
mean time to resolution (MTTR) improvement90%
Auto-resolution rate75%
Monthly ticket volume (baseline)100,000 tickets per month
Show all 5 reported metrics
employee productivity improvement80%
mean time to resolution (MTTR) improvement90%
auto-resolution rate75%
monthly ticket volume (baseline)100,000 tickets per month
cost savingsenormous cost savings
Reported stack
AiseraGPT
Source
https://aisera.com/customers/healthcare/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Through Aisera's Generative AI solution, the healthcare provider achieved 80% improved employee productivity, 90% improved mean-time-to-resolution, a 75% auto-resolution rate, and enormous cost savings, while enabling…

What tools did this team use?

AiseraGPT.

What results were reported?

Employee productivity improvement: 80%; mean time to resolution (MTTR) improvement: 90%; Auto-resolution rate: 75%; Monthly ticket volume (baseline): 100,000 tickets per month (source-reported, not independently verified).

How is this it support AI workflow structured?

High-volume ticket intake → AiseraGPT auto-resolution → Self-service delivery to employees.