It support · Production

Big 5 Sporting Goods achieves 64% IT auto-resolution rate with Aisera AI Agents

The problem

Big 5 Sporting Goods faced mounting IT support challenges as high volumes of technical support requests slowed down support teams and employees experienced delays due to a lack of self-service capabilities, creating operational inefficiencies that impacted productivity and satisfaction.

Workflow diagram · grounded in source
1
Employee submits IT request
trigger
“a unified interface for all IT requests, eliminating the need to navigate multiple systems or rely on support teams for routine issues”
2
Agentic AI auto-remediates ticket
ai_action
“scaled support by auto-remediating tickets”
3
Instant self-service resolution
output
“Employees could resolve their IT needs instantly instead of waiting days for assistance”
4
Unresolved requests create tickets
routing
“creating tickets only for unresolved requests”
Reported outcome

With Aisera's Agentic AI platform, Big 5 achieved a 64% auto-resolution rate, saved 24,000 user hours annually, and saw an 85% increase in customer satisfaction while scaling support without adding reliance on support teams.

Reported metrics
Auto-resolution rate64%
User hours saved annually24,000
Customer satisfaction improvement85%
Reported stack
Aisera AI AgentsAisera Assistant
Source
https://aisera.com/customers/big5sportinggoods
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

With Aisera's Agentic AI platform, Big 5 achieved a 64% auto-resolution rate, saved 24,000 user hours annually, and saw an 85% increase in customer satisfaction while scaling support without adding reliance on support…

What tools did this team use?

Aisera AI Agents, Aisera Assistant.

What results were reported?

Auto-resolution rate: 64%; User hours saved annually: 24,000; Customer satisfaction improvement: 85% (source-reported, not independently verified).

How is this it support AI workflow structured?

Employee submits IT request → Agentic AI auto-remediates ticket → Instant self-service resolution → Unresolved requests create tickets.