Cutting support handling time by two thirds
Illustrative example. Figures are representative targets, not a specific client claim.
This is the pattern we see most often in support-heavy teams: ticket volume climbs faster than headcount, and a large share of those tickets are variations on the same two dozen questions. The work isn't hard, it's just relentless, and it buries the genuinely tricky cases that actually need a person.
Where the time actually goes
In a team like this, agents spend most of the day on repetitive, low-complexity tickets: password resets, order status, how-to questions, plan changes. Each one is quick, but at a few hundred a week the minutes add up to whole roles, and first-response time slips because everything sits in one undifferentiated queue.
The expensive problem isn't the volume itself, it's that the high-value tickets, the ones where a good answer retains a customer, wait behind the routine ones.
How we'd approach it
We'd put an LLM triage layer in front of the queue: classify each ticket by intent and urgency, draft a grounded reply for common cases from your existing help content, and route everything else to a human with the context already attached.
Nothing sends unchecked at first. The automation runs in a monitored draft mode where agents approve or edit suggested replies, and only the highest-confidence categories move to auto-send once accuracy proves out on your own tickets.
A support team was manually answering ~400 repetitive tickets a week, with slow first responses hurting CSAT.
We deployed an LLM triage-and-draft workflow: classify by intent and urgency, auto-draft replies for common cases, and route the rest to humans with full context.
Around 60–65% of tickets handled automatically, first-response time down sharply, and agents freed for complex work.
- Start by triaging and drafting, not auto-sending, then widen scope as confidence grows.
- Ground replies in your real help content so answers stay accurate and on-brand.
- Measure deflection and first-response time from day one so the value is visible.
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