AnswersManufacturing

What does AI do for manufacturing and industrial operations?

In short

In manufacturing, AI works on the plant's own data: a live digital twin of lines, equipment and materials, with agents that improve yield and quality, predict maintenance, re-plan production around disruptions, read engineering drawings and keep compliance records current. Engineers and operators approve every change that touches the line.

Where AI works in the plant

AreaWhat AI doesSee it running
Plant digital twinOne live model of lines, equipment, materials and orders.Plant digital twin
Yield and qualityFinds the process conditions behind good and bad batches.Yield optimization and batch analysis
MaintenancePredicts failures from sensor and work-order history and schedules the fix.Dynamic predictive maintenance
Production schedulingRe-plans around late materials, downtime and rush orders.Production scheduling and management
Engineering documentsReads P&IDs and drawings into structured, searchable records.P&ID analysis
ComplianceTracks hazardous materials and keeps records current.Hazardous material compliance

Start from the twin

Plants run on many systems: ERP, MES, historians, maintenance and quality. A digital twin connects them in place into one model of how the plant runs, so every agent works from the same picture and a change on one line shows up everywhere it applies.

Where to start

Pick one line and one number the plant already tracks: scrap, unplanned downtime or schedule attainment. Build the first system there, measure it against the baseline, and extend the twin to the next line. Fig builds the twin on CosmOS from the plant's ERP, MES, historian and maintenance data, connected in place, and engineers approve every change that reaches the line.

Frequently asked questions

Does AI need new sensors in the plant?

Usually not to start. Most plants already have historian, MES and maintenance data that a digital twin can connect in place.

Can AI change machine settings on its own?

Recommendations go to engineers and operators, who approve any change that touches the line.

What should a manufacturer measure?

Yield, scrap, unplanned downtime, schedule attainment and on-time delivery, each against a baseline.

See it running on your company's real work.

More answers →

Be the next big thing

Dream big, build fast, and grow far with Fig

Fig Desktop for Mac and Windows