Handle tier-1 support, reduce support costs by 50%.
The pattern is the same at every SaaS support team we audit: 60% of tickets are repeat questions that your docs already answer. Password resets. "How do I change my plan?" "Where's the export button?" "Does it work with X?"
Your tier-1 team burns out answering the same questions 40 times a week, and the genuinely complex tickets — where real product expertise matters — get less attention because the queue is always full.
A support agent with access to your docs, your ticket history, and your product state can resolve most tier-1 tickets directly. The other 40% get routed with context, not cold-transferred.
of tickets are routine FAQ-answerable
average human response time to tier-1 ticket
reduction in support labor cost with agent triage
Each step shows what the agent does autonomously and what your team sees on their end. Human approval gates are marked.
Categorizes by topic, urgency, and user tier. Scores complexity. Flags high-value account issues for immediate human attention.
Triage happens in under a second. Noise filtered out, signal routed.
For routine questions, agent responds with a clear answer drawn from your docs and the user's account state. Confidence threshold required before sending.
Customer gets their answer in under 30 seconds. Ticket closes.
For anything above the confidence threshold, agent drafts a first-response proposal and assembles full context: user history, account state, likely resolution paths.
Your human agents open the ticket with a warm draft and zero research overhead.
When humans resolve escalated tickets, the agent learns the resolution pattern. Next similar ticket can be handled autonomously if the pattern holds.
Coverage expands weekly. Dashboard shows which topics graduated to auto-resolution.
of tickets resolved without human touch
average time-to-first-response
cut in support labor cost
avg CSAT on agent-resolved tickets (matching or beating humans)
Tell us where your team is losing time. We'll tell you honestly — whether AI can help, and if so, what we'd build first.
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