Solutions / Customer Service

Support AI that learns from every resolved ticket.

Most support bots are frozen on the day they launch. A self-learning support system treats every agent correction as a training signal, and ships a new version only when it measurably beats the old one.

01 /What the AI learns

It learns from the work, not from a one-time setup.

  • Customer questions and intent
  • Approved support responses
  • Resolution paths
  • Product knowledge
  • Escalation patterns
02 /The stack behind it

Inference and batch capacity for live conversations and nightly evaluation runs.

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Historical tickets, knowledge base content, and expert-written domain examples.

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Model access through UnifyAPI, with routing and failover across providers.

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IntelligenceUnifyAI ↗

UnifyAI turns agent corrections into evaluated, reversible improvements.

=Self-learning customer AI

UnifyAI ships sales, marketing, and support workspaces today. FelixSphere connects your systems and data, and delivers the full stack around it.

03 /How it works

Every improvement has to beat the version it replaces.

01

Draft and resolve

AI drafts replies and resolves routine tickets. Agents review what matters.

02

Correct once

An agent fixes a reply. That correction becomes a learning signal, not a lost edit.

03

Promote on evidence

A candidate version ships only after it beats the current one on held-out tickets.

Compute · Data · Models · Intelligence

Build self-learning customer ai with FelixSphere.

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