AI customer support triage and drafted replies
Every incoming ticket is categorized, prioritized, and pre-answered by AI using your real docs and past replies. Your team approves with a click or only steps in for the 30% that genuinely needs them.
Who this is for
The problem
Support volume scales with growth, but headcount can't (and shouldn't). Most teams either drown, burn out, or send underwhelming canned replies that feel robotic. There's a smarter middle: AI does the first draft, humans keep the empathy.
How we solve it
We turn your product docs, past tickets, and Slack institutional knowledge into a private support brain. AI drafts every reply, your team reviews and personalizes. Complex tickets escalate cleanly with full context attached. Founders get out of the inbox.
Build the knowledge base
Product docs + 6 months of past tickets + internal Slack threads get indexed into a private, support-aware AI.
Auto-categorize + prioritize
Every new ticket is tagged (billing, bug, how-to, churn risk), routed to the right queue, and given a priority score.
AI drafts the reply
Draft appears inside Intercom/Zendesk with a one-click 'send as-is' or 'edit and send'. Agents work in their existing UI.
Escalation with context
When a ticket is truly complex, AI summarizes the full thread + customer history before handing to a human. No 'wait, what's this about?' moments.
Continuous learning loop
Every edit a human makes to a draft is fed back. The system gets noticeably better month over month.
Tools we deploy
Realistic impact
Ranges, not promises. What we typically see across the engagements we ship.
Common questions
Will customers know it's AI?+
We design replies to feel human because a human reviews and sends them. Full-bot replies for the simplest FAQs can be turned on separately, with clear disclosure.
What if AI gets a refund or policy question wrong?+
Anything financial or policy-sensitive routes to a human queue automatically. AI never auto-sends those.
Can it handle non-English support?+
Yes multilingual support is one of the strongest use cases. We commonly set up English + 2–3 other languages out of the gate.