Production / Quality / Maintenance
AI enters the factory: predictive maintenance, quality control through vision, optimized production management.
Augmented Quality Manager
Vision control inspects one hundred percent of parts, non-conformities are analyzed by cause, documentation is generated continuously.
Industrial vision, SPC, quality document management, Claude for cause analysis.
1. Deploy vision control on critical defects with validated thresholds. 2. Analyze non-conformities by root cause and loop back with production. 3. Automate quality documentation and its traceability.
The camera detects, the human qualifies: a false rejection costs, a false acceptance costs more.
Augmented Methods Engineer
Time and flow analyses accelerate, layouts are simulated before moving a machine, standards are produced faster.
Flow simulation, video analysis of workstations, Claude for standards and operating procedures.
1. Analyze actual flows and identify waste through data. 2. Simulate each re-layout before decision-making. 3. Produce standards with operators, not just for them.
The stopwatch does not indicate difficulty: the standard is validated at the workstation, with those who perform it.
Augmented Production Manager
Scheduling is optimized, deviations are detected in real-time, loss causes are continuously analyzed (OEE).
MES with AI, sensors, OEE analysis, optimized scheduling.
1. Ensure reliable data collection from machines and downtimes. 2. Analyze losses by cause and address recurring issues. 3. Optimize scheduling by integrating real workshop constraints.
Pace never takes precedence over safety or quality: these two cannot be optimized downwards.
Augmented Maintenance Technician
Failures are anticipated instead of endured, diagnostics are assisted, technical documentation responds in natural language.
Sensors + predictive platform, CMMS, technical document assistant.
1. Equip critical equipment and set alert thresholds based on field experience. 2. Use the document assistant during interventions: diagrams, procedures, histories. 3. Document each intervention to enrich collective knowledge.
Predictive alerts trigger an inspection, not blind trust: the machine observes and listens to itself.
Augmented HSE Manager
Risk situations are detected by vision, near-misses are analyzed for trends, regulatory monitoring operates autonomously.
Safety vision, incident database with AI analysis, regulatory monitoring.
1. Analyze near-misses for trends to act before accidents occur. 2. Deploy risk situation detection with pedagogy, not surveillance. 3. Automate regulatory monitoring with site impact analysis.
Safety is a culture, not a sensor: technology supports field dialogue, never replaces it.
Where to start
Predictive maintenance on the two or three most critical pieces of equipment: ROI is quickly demonstrated.
Typical gains
Reduction in unplanned downtime; comprehensive quality control instead of sampling; causes of loss finally visible.
Mistake to avoid
Trusting the sensor over the operator. The operator who senses a drift is often right before the algorithm.