AI customer support workflows
Build AI customer support workflows for ticket routing, response drafting, escalation, and knowledge-grounded service.
Where these AI workflows fit
Customer support automation works best when classification, retrieval, response generation, and escalation remain explicit. These GraphN blueprints model those responsibilities as inspectable workflow stages.
Choose a support pattern based on the channel and decision you need to automate. You can replace models, connect internal knowledge, add policy checks, and preserve a human handoff for sensitive cases.
Customer support blueprint catalog
Compare each workflow's inputs, stages, agents, functions, MCP tools, and availability before opening it in GraphN.
Support Router
Classify each support request and route it to the right specialist for a ready-to-send reply
HandoffSupportRoutingReady to useSupport Knowledge Bot
Search across help docs and past tickets to surface answers for support agents
SupportInternalRAGRequest accessEscalation Detector
Monitor conversations for frustration signals and auto-escalate to a human manager
SupportEscalationSentimentRequest accessMulti-Language Support Router
Detect the customer's language, translate, route to a specialist, and translate the response back
SupportTranslationRoutingRequest accessTicket Tagger & Prioritizer
Automatically classify, tag, and prioritize incoming support tickets
SupportClassificationPriorityRequest access