Triage Employee
Contact triage and routing
Classifies intent and sentiment and routes every contact with context across channels.
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Auto Customer Service runs support operations end to end. AI Employees triage and route every contact, resolve common issues in-channel, manage cases and escalations, and keep quality high. The support team stops working a queue and starts governing the operation and the hardest cases.
Legacy support tools give you a ticketing queue and a knowledge base, then wait for agents to triage and answer. Auto Customer Service resolves what it can in-channel and escalates only what needs a person.
Auto Customer Service decomposes support into the components a service organization actually runs, each executed by governed AI Employees against a living customer and knowledge graph.
Every contact understood and routed.
Classifies intent and sentiment and routes every contact with context across channels.
Prioritizes by urgency, value, and SLA risk so the right contact is handled first.
Handles chat, email, messaging, and social in one operation with continuity across channels.
Detects language and serves customers in their own language automatically.
Most contacts resolved without an agent.
Resolves common questions and requests end to end in-channel when they clear policy.
Answers from the authoritative knowledge in the graph, so responses stay consistent and correct.
Executes account and order actions across systems under policy, not just answers questions.
Assists agents with drafted responses and hands off genuine cases with full context.
Cases worked and quality managed live.
Manages multi-step cases to resolution, following up so none stall.
Escalates to the right owner in the Auto Workbench with the full history assembled.
Reviews interactions for quality and drives CSAT actions on every contact, not a sample.
Surfaces recurring issues and drivers as Auto Insights for the product and service teams.
Human command over a learning operation.
Turns every resolution into reusable knowledge in the graph, so the operation gets sharper each cycle.
Service leaders author resolution, tone, and escalation rules in plain language; they take effect deterministically.
Hard cases arrive in the Auto Workbench with customer context and the applied policy for one decision.
Every interaction and action is time-stamped and queryable for quality and compliance.
Each is a service operation the Auto owns end to end, with agents on the loop for oversight and in the loop only on genuine escalations.
Common questions and requests are resolved end to end in-channel, 24/7 and multilingual.
Every contact is triaged by intent and sentiment and routed with context.
Account and order actions are executed across systems under policy, not just answered.
Multi-step cases are worked to resolution with follow-up so none stall.
Agents are assisted with drafted responses and genuine cases hand off with full context.
Interactions are reviewed for quality and CSAT actions driven on every contact.
Every resolution becomes reusable knowledge in the graph, sharpening the operation.
Recurring issues and drivers are surfaced as Auto Insights for product and service.
Every cycle runs through the four parts of an Auto. Auto Policies set the boundary, AI Employees act, humans resolve exceptions in the Auto Workbench, and each resolution deepens the Auto Graph. The operation compounds with every cycle.
Multi-agentic service workers triage, resolve, and manage cases across every channel and back-end system, escalating only genuine cases.
Resolution, tone, and escalation rules are authored in plain language and enforced deterministically before an action executes.
Hard cases arrive with customer context and the applied policy. The agent decides once; the resolution trains the next contact.
Customers, contacts, knowledge, and prior resolutions become a living per-tenant graph that makes triage and resolution sharper every cycle.
Banorte, a major Mexican bank, runs customer query handling through Supervity AI Employees across channels, resolving common contacts in-channel and cutting resolution time sharply. The service team moved from working a queue to governing the operation and the hardest cases.
Auto Customer Service is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.
Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.
See Auto Customer Service run support against your own channels and knowledge in an FDE baseline scoping session.
