Backend Intelligent Operations

A Human‑AI Collaborative Digital Operations Hub

Aiming to improve quality, reduce costs, and increase efficiency, we deeply integrate AI decision-making, RPA automation, and expert experience to build a self‑aware, self‑deciding, and self‑executing intelligent operations system. We empower back‑end and middle‑office operations such as contact centers, audit centers, and data annotation centers, achieving a quantum leap in operational efficiency.

Operating Model & Technical Enablers

Service Intake

Multi-channel service access supporting unified handling of phone, online chat, email, and social media touchpoints with automatic ticket assignment and intelligent routing.

Process Management

Standardized SOP process engine covering the full chain of intake, workflow, approval, and closure, ensuring operational compliance and traceability.

Quality Monitoring

Comprehensive QA system combining AI-powered scoring with manual review, enabling quantifiable service quality assessment and continuous improvement.

Data Analytics

Multi-dimensional operational metrics supporting real-time dashboards, trend alerts, and root cause analysis to drive data-informed operational decisions.

架构图

Key Capabilities

Intent recognition accuracy >95%,

self‑service conversation completion rate >70%

Business process automation rate up to 50%+,

average handling time reduced by 60%

Real‑time operations situational awareness dashboard with

second‑level alerts for service quality and anomalies

Self‑learning knowledge and script libraries,

keeping operations knowledge aligned with business

Application Scenarios & Value

Omni‑channel Smart Customer Service

Unified routing for voice, text, and video; bots handle first contact, complex issues seamlessly escalate with full context.

Smart Auditing & Verification

Dual‑mode (rule‑based auto‑review + AI‑assisted judgment) for content moderation, expense reimbursement, contract comparison, etc.

Self‑healing for Abnormal Operational Events

Monitors service sentiment, system failures, etc., automatically triggers contingency plans and task dispatching, reducing business interruption time.