Industry Solution

AI Solutions for Manufacturing

Quality issues only discovered after the fact? Purchase orders processed manually every day? Production line anomalies going unnoticed? We help manufacturers automate these high-frequency pain points with AI.

Typical Challenges Facing Manufacturers

Orders, processes, quality, procurement, and after-sales are scattered across ERP, MES, and other systems — information transfer depends on people, and problems are always discovered too late.

  • Issues are escalated via group chat, with no one tracking resolution progress.
  • Operating procedures and institutional knowledge are scattered across documents and veteran employees' heads.
  • Quality, procurement, and delivery teams work in silos with no information sharing.

System Integration

Connected Systems

ERPMESQMSPLMSRMWeCom

Business Capabilities

Automation Capabilities

Production anomaly summarizationQuality issue trackingWork order auto-progressionSupply risk early warning

Execution Flow

How the AI Agent Executes

1

Automatically detect anomalies and compile relevant information

2

Route to quality, process, procurement, and other responsible parties by role

3

Execute critical operations only after approval

4

Archive resolution experience for future reuse

Expected Results

Expected Results

Anomaly resolution cycle time significantly reduced

Cross-departmental coordination response more consistent

Key processes are trackable, reviewable, and auditable

Security Controls

Governance Mechanisms

Approval controls
Role-based permissions
Audit logs
On-site traceability

FAQ

Frequently Asked Questions

Why not just add a chatbox to MES?
Manufacturing floors need anomaly closure, work order progression, and accountability tracking — not single-point Q&A. We make AI a real participant in process execution.
Where should we start our pilot?
Start with high-frequency workflows like quality anomaly handling, procurement coordination, or delivery alerts — run one complete chain end-to-end before expanding.

Start with this scenario — run through your first workflow

Book a scenario diagnosis to clarify system boundaries, initial Skills, and pilot conditions.