Auto Contact Center runs the contact center end to end. AI Employees answer on voice and digital, understand intent, resolve contacts, orchestrate routing, and assist human agents on the rest. The center stops managing hold queues and starts governing an operation that resolves.
Legacy contact-center platforms route calls to an IVR and a queue, then wait for agents to handle everything. Auto Contact Center resolves what it can on voice and digital and assists agents on the rest.
Auto Contact Center decomposes contact operations into the components a center actually runs, each executed by governed AI Employees against a living customer and knowledge graph.
Answers on voice and digital channels and understands intent in natural language, replacing rigid IVR trees.
Verifies the caller securely under policy before servicing the request.
Detects intent and sentiment to shape the conversation and the routing decision.
Serves customers in their own language across voice and digital automatically.
Resolves common contacts end to end in conversation when they clear policy, without a queue.
Executes account and order actions across back-end systems under policy during the contact.
Routes the rest by intent and context to the right agent the first time.
Offers callback and digital deflection to protect experience under load.
Gives agents real-time guidance, knowledge, and drafted responses during the contact.
Summarizes, dispositions, and updates systems automatically so agents move to the next contact.
Grounds guidance and answers in authoritative knowledge from the graph for consistency.
Hands off to agents with the full context and history already assembled.
Reviews every interaction for quality and compliance, not a sample, and drives coaching.
Surfaces volume, handle time, and resolution rate as Auto Insights to steer staffing.
Center leaders author resolution, routing, and compliance rules in plain language; they take effect deterministically.
Every contact and action is recorded, time-stamped, and queryable for compliance.
Each is a contact operation the Auto owns end to end, with agents on the loop for oversight and in the loop on escalated conversations.
Callers are answered in natural language and common contacts resolved without a queue.
AnswerChat, messaging, and email contacts are resolved end to end in-channel.
AnswerAccount and order actions are executed across back-end systems under policy during the contact.
ResolveContacts that need a human reach the right agent the first time by intent and context.
ResolveAgents get real-time guidance, knowledge, and drafted responses during the contact.
AssistSummaries, dispositions, and system updates happen automatically so agents move on.
AssistEvery interaction is reviewed for quality and compliance, not a sample.
ManageCallback and digital deflection protect experience under load.
ResolveEvery 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 contact workers answer on voice and digital, resolve, route, and assist agents across the contact stack, escalating conversations that need a person.
Resolution, authentication, routing, and compliance rules are authored in plain language and enforced deterministically before an action executes.
Escalated conversations arrive with the full context and history. The agent handles it; the resolution trains the next contact.
Customers, contacts, knowledge, and prior resolutions become a living per-tenant graph that sharpens understanding and resolution every cycle.
Banorte, a major Mexican bank, runs customer query handling through Supervity AI Employees across channels, resolving common contacts and cutting resolution time by 60% with a 65% lift in satisfaction. The center moved from managing queues to governing an operation that resolves.
SOC 2 Type 2 and ISO 27001 certified. Sovereign deployment on the customer's own cloud and model contracts.
Auto Contact Center 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.