CXOps AI Platform

Test support-ticket AI workflows before controlled execution

CXOps AI is a demonstration customer experience operations platform that brings support tickets, RAG-assisted knowledge retrieval, AI agent decisions, risk controls, human approvals, execution audit trails, and operational observability into one workflow.

It is designed as a portfolio and testing environment for examining how an AI-assisted support workflow can retrieve grounded knowledge, propose actions, identify risky operations, require human approval when appropriate, and record what happened during execution.

How the CXOps AI workflow fits together

Can CXOps AI test a RAG and approval workflow before execution?

Yes. Within this demonstration environment, a support case can move through knowledge retrieval, AI-assisted decision making, risk-aware tool planning, human approval when required, controlled execution, and a persistent audit trail.

The purpose is to make the intermediate stages visible so developers and operations teams can inspect what evidence was retrieved, what the agent proposed, whether approval was required, and what execution outcome was recorded.

Evaluation guide

Compare controls before allowing AI agents to take high-impact actions

Our evidence-backed guide explains how to evaluate authorization, human approval, policy enforcement, auditability, escalation, observability, and recovery boundaries across customer-support AI platforms without assuming that every vendor exposes the same controls.

Read the high-risk action evaluation guide