Helpdesk automation, tickets handled faster
A managed AI agent that triages, routes, and resolves support tickets — reading each one, answering the routine, and escalating the rest with context — so response times drop and your team works the hard problems.
The ticket queue that never clears
Support is a treadmill. The same questions come in over and over, urgent tickets get buried behind trivial ones, and agents burn their day tagging and routing instead of actually helping the customers who need it.
- The same routine tickets answered by hand, again and again.
- Urgent issues buried in the queue behind low-priority ones.
- Tickets routed to the wrong team, bouncing before they're solved.
- SLA breaches because nothing was prioritized in time.
As a Support / CX Leader, I need to cut response times without adding agents.
As a Operations Manager, I need to make sure every ticket is triaged and routed correctly.
As a IT / Systems Owner, I need to deflect the routine tickets so my team works real problems.
What the agent does
We map how your tickets are triaged and resolved today, then build an agent that handles the routine and routes the rest — co-managed so quality and SLAs hold.
- 01
Read every ticket
The agent reads each incoming ticket and understands the issue and its urgency.
- 02
Triage & prioritize
Tickets are categorized and prioritized so urgent issues rise to the top automatically.
- 03
Resolve the routine
Common requests are answered or actioned directly from your knowledge base and systems.
- 04
Route with context
Anything needing a human goes to the right team with a summary and suggested fix.
- 05
Track to SLA
Status and SLAs are tracked, and at-risk tickets are flagged before they breach.
Wires into
- Your helpdesk / ticketing tool
- Knowledge base & docs
- Your CRM
- Email & chat
What it does
- Ticket triage & prioritization
- Auto-resolution of routine requests
- Context-rich routing
- SLA tracking
What's included
- Support workflow mapping
- Triage + resolution build
- Helpdesk wiring
- Exception monitoring & break/fix
We build intake and triage automation across industries. A verified win:
Claims were sitting in queues for 3–4 weeks because our adjusters were drowning in first notice of loss calls and nobody was tracking what was missing. ThunderStaff built an AI triage system that ingests FNOL from phone, email, and portal, auto-classifies by severity, and routes to the right adjuster with policy history and photos. Cycle time dropped from 23 days to 9 days. Customer satisfaction on claims handling went from 2.8 to 4.6 out of 5. Our retention rate climbed 12 points because people actually felt taken care of when they needed us most.
When the agent triages and resolves the routine, response times drop and your agents stop spending the day on tagging and tier-one questions. The math: tickets per month × minutes saved each, plus the SLA penalties you avoid.
Run the numbers in the ROI calculatorRelated automations
Questions, answered
Which helpdesk tools does it work with?
Most ticketing and helpdesk platforms, through their APIs. It reads from your knowledge base and CRM so answers reflect your actual product and policies.
Will it answer customers without us checking?
On rules you set. Routine, low-risk responses can send automatically; anything sensitive is drafted or routed to an agent first.
How is this different from a chatbot?
A chatbot just chats. This agent triages, prioritizes, resolves from your real systems, and routes the rest with context — and we co-manage it so it keeps working.
How fast can it go live?
Most builds go from process mapping to a live agent in days, starting with a free Process Blueprint.
Clear the queue, keep customers happy
Start with a free Process Blueprint: we map your support workflow and scope an agent to triage and resolve — no commitment.