Predictive Maintenance

AI agents that anticipate equipment failures, reduce unplanned downtime, and optimise maintenance spend.

Key Agents:

💠 Asset Failure Prediction Agent: Predicts failure risk using sensor data, maintenance history, and operating conditions. 💠 Condition Degradation Modelling Agent: Models long-term deterioration patterns based on material, usage, and operating conditions.

💠 Maintenance Prioritisation Agent: Models long-term wear and degradation patterns across machines and components.

Production and Process Optimisation

AI agents that continuously optimise throughput, yield, and process stability.

Key Agents:

💠 Process Parameter Optimisation Agent: Recommends optimal machine settings based on live performance and historical outcomes. 💠 Bottleneck Detection Agent: Identifies emerging constraints across production lines and material flows.

Supply Chain and Inventory Intelligence

AI agents that improve material availability while reducing excess inventory.

Key Agents:

💠 Demand Forecasting Agent: Produces short- and medium-term demand forecasts using internal and external signals. 💠 Inventory Optimisation Agent: Recommends stock levels and reorder points across SKUs and locations. 💠 Supplier Risk Monitoring Agent: Flags delivery risks, quality issues, and dependency exposure.

Quality Inspection and Defect Intelligence

AI agents that detect defects earlier and surface root causes across products and processes.

Key Agents:

💠Visual Inspection Agent: Uses computer vision to detect defects, anomalies, and deviations from specification. 💠 Defect Pattern Analysis Agent: Analyses defect trends across batches, machines, and shifts. 💠 Root Cause Attribution Agent: Links defects to upstream process variables, materials, or environmental factors.

Customer and Order Intelligence

AI agents that connect manufacturing operations to customer commitments.

Key Agents:

💠 Order Promise Intelligence Agent: Aligns production capacity with delivery commitments. 💠 Customer Issue Insight Agent: Analyses complaints, returns, and service signals.

Compliance, Safety, and Governance

AI systems that ensure operational adherence to safety, quality, and regulatory requirements.

Key Agents:

💠 Safety Monitoring Agent: Detects unsafe conditions, near misses, and procedural breaches.. 💠 Audit Evidence Agent: Automatically compiles inspection logs, incident records, and compliance evidence.

💠 Policy Deviation Detection Agent: Flags deviations from approved operating procedures and safety plans.