Before Agentra
Support tickets required manual classification, account lookup, routing, and first-response drafting before the right person could act.
Case studies
Representative workflow case
Support Triage: Faster First Response With Human Approval
Representative AI support triage case study with issue classification, account context, routing, response drafts, and escalation controls.
What changed
A triage workflow that classifies issues, pulls account context, recommends owner, drafts a response, and escalates risk.
Stack involved
- Helpdesk
- CRM
- Knowledge base
- Slack/Teams
Before
- Slow triage
- Account-blind routing
- Inconsistent first replies
- Late escalations
After
- Issue classification
- Context-rich routing
- Approved response drafts
- Escalation log
KPIs
- First response time
- Triage minutes per ticket
- Escalation lead time
- Resolution consistency
Governance
- Human approval for external replies
- Sensitive account review
- Risk escalation
- Resolution logging
Rejected
- Unapproved sensitive replies
- Standalone FAQ bot
- No-context auto-routing
Next step
Bring one painful workflow.
Agentra will qualify owner, KPI, data, access, approval rules, and deployment readiness before recommending a diagnostic or rejecting the fit.