The client's support relied almost entirely on manual processing. At peak hours, response times degraded sharply, moderators burned out on repetitive tickets, and there was no structured escalation logic separating routine requests from cases requiring human judgment.
- Architected a full automation layer using n8n, integrated directly with the client's internal support system
- Built AI-assisted triage and FAQ resolution workflows to handle the highest-volume request types automatically
- Designed automated escalation logic so that only genuinely complex cases reached a human moderator
- Built Supabase-backed tracking to maintain visibility and auditability across the automated pipeline
- Documented the complete system so internal teams could maintain and extend it without ongoing involvement