Industry Practices

How Agentrix delivers enterprise AGI in insurance, energy, manufacturing and public services — the full method, from business process modelling to closed-loop agent execution, with real deployments.

Human-AI Hybrid Management Platform for a Large Environmental Services Enterprise

In a major provincial city, the deployment of an AI service agent platform is reshaping urban sanitation and emergency management at scale. The system reduced average issue-detection time from 2 hours to 20 minutes and increased AI-generated valid work orders from 70% to 98%. Powered by DataOS, it connects drone inspections, IoT sensor data, and operational systems, enabling unified visibility across previously siloed workflows. As a result, average event-resolution time fell from 1 hour to 15 minutes, while fuel expense declined 7.9% year over year. At the core, AgentOS restructures event-handling workflows across inspection, analysis, dispatch, closure, and verification. Average dispatch time dropped from 10 minutes to 1 second, while on-time closure and verification pass rates increased from 85% to 95%, enabling faster, more coordinated cross-departmental urban operations.

Agentic Network-Level Operations for a Leading Regional City

A leading metro system has deployed the industry’s first “domain-specific large model + multi-agent system (MAS)” platform for network-level operations, ushering in a new era of full-stack intelligence in rail transit. Powered by a deeply customized RailGPT as the central brain, the system orchestrates 537 digital employee agents across core scenarios such as scheduling, maintenance, and energy management. Through a non-intrusive integration approach, the solution achieves ≥90% intent recognition accuracy and delivers 60%–90% efficiency gains without disrupting existing systems. This human-AI co-decision model ensures operational safety while continuously improving network efficiency and sustainability.

AI-Native End-to-End Intelligent Policy Renewal Platform

A leading national property insurance provider embedded large-model-driven voice agents into its renewal workflow, injecting “intelligent momentum” into legacy operations. These digital employees—equipped with empathy and agile reasoning—leverage a MAS architecture to complete the entire process from intent recognition to pricing and payment guidance within milliseconds, delivering both human-like interaction and high execution efficiency.

Operating 24/7, this model absorbs over 60% of repetitive manual workload while maintaining full data sovereignty. It marks a shift from “mechanical outreach” to “value-driven engagement,” offering a forward-looking blueprint for cost reduction and efficiency gains in the insurance industry’s deep digital transformation phase.