Designed and prototyped an AI-powered customer support operations system for ticket classification, routing, escalation management, and SLA tracking. The workflow automates ticket intake, priority assignment, support routing, and escalation handling while maintaining human review checkpoints for critical cases. The system provides operational visibility through automation health monitoring, support analytics, and integration management across multiple business systems.
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Problem : -Sales teams lose time manually reviewing and routing incoming leads across multiple CRM systems.
Solution :- Designed a workflow that captures leads, applies qualification rules, routes high-confidence leads automatically, and sends ambiguous cases to human review.
Workflow:-
Lead capture ->Qualification ->AI scoring->CRM routing->Human review queue->Integration monitoring.
Tools :- n8n, HubSpot, Zoho CRM, Salesforce, Webhooks, APIs
Outcome :-Created an operational workflow that reduced manual routing effort and demonstrated how automation and human review can work together in lead management processes.
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Built an AI-assisted hiring workflow using n8n, Supabase, and LLM APIs to explore workflow automation, candidate evaluation, human review checkpoints, and recruiter workflow visibility. During testing, the project revealed several operational challenges around trust, uncertainty, and automation boundaries that influenced the system design.