Your production data, in plain language

Natural language queries

The AI Copilot understands manufacturing context. Ask about OEE trends, downtime root causes, quality patterns, and scheduling conflicts in plain English. The system translates your question into a production database query and returns a clear, actionable answer — not a raw data dump.

Proactive anomaly detection

The OEE anomaly detector monitors your floor continuously and surfaces deviations from expected patterns before they cascade. If your press line's cycle time starts creeping up — a leading indicator of a bearing issue — you hear about it in the current shift, not after a breakdown.

Shift narrative generation

At shift end, the AI Copilot generates a structured shift narrative: key metrics, anomalies detected, quality flags, and recommended follow-ups. The narrative is shared automatically with the incoming shift supervisor as part of the digital handoff.

Embedded in your context

The Copilot has access to all your Qontiv data — work orders, OEE history, quality measurements, downtime events, and operator execution records. It answers questions about your specific floor, not generic manufacturing abstractions.