When a quality escape or production anomaly occurs, engineers spend days manually pulling data from MES, historian, and quality systems to construct a timeline and build a fishbone diagram. The analysis relies heavily on tribal knowledge from experienced operators, and conclusions are often underdetermined because the data volume makes comprehensive correlation analysis by hand impossible.
Built For
Process Engineer or Quality Manager leading structured RCA investigations in response to customer complaints, internal escapes, or repeated defect patterns on the production line
Don't build from scratch. Deploy a pre-trained specialist agent instantly.
Quality Engineer
Leads structured root cause investigations using Pareto analysis, fishbone correlation, and defect pattern recognition.
Process Engineer
Analyzes historian data to reconstruct process conditions at the time of a defect event.
Maintenance & Reliability
Checks maintenance and calibration history to determine whether equipment condition contributed to defect events.
Perform Pareto analysis on defect types, correlate fishbone diagram variables with quality outcomes, and compare shift-level variance. Surface patterns that manual investigation would take weeks to uncover.
Drag and drop your CSVs. No complex pipelines required.
Ask questions in plain English, get instant answers.
A Pareto on the last 90 days shows surface scratches are 58% of Line 2 defects, and they correlate most strongly with line speed above 82 m/min (r = 0.74), far more than temperature or shift. Capping Line 2 at 80 m/min on the affected SKUs should remove the dominant cause and cut that defect category by an estimated 45%.