Case Study: SaaS Support Automation
A product-led SaaS company was missing SLA targets because repetitive tickets consumed most agent bandwidth.
49%
Lower backlog volume
54%
Faster initial resolution
91%
Correct escalation routing
Implementation snapshot
- AI intent classification before queue assignment
- Knowledge-base retrieval for draft responses
- SLA and sentiment aware escalations
- Automated closure tagging for reporting