{"stable_id":"4d502e7810ab5b7c","slug":"bmw-regensburg-surface-processing","company":"BMW Plant Regensburg","workflow_name":"AI surface inspection and robotic processing","function_code":"engineering","pattern_codes":["autonomous_with_backstop","coordination_compression"],"changed_assumption":"Detection, classification and physical rework can form one controlled loop.","evidence_strength":"reported","publication_tier":"showcase","freshness":"current","reviewed_at":"2026-08-23","updated_at":"2026-08-22","source_quality_summary":"1 primary; publication outcomes are reported.","caveat_summary":"Operator disclosure; no escape-rate comparison.","freshness_caveat":null,"workflow_summary":{"before":[{"actor":"Paint-shop specialist","action":"Visually inspects painted vehicle surfaces and identifies areas needing treatment.","actor_type":"control"},{"actor":"Rework technician","action":"Marks, sands, or polishes identified surface deviations.","actor_type":"control"}],"hinge":"Detection, classification and physical rework can form one controlled loop.","after":[{"actor":"Automated Surface Inspection","action":"Uses reflected stripe patterns to locate, size, map in 3D, and classify paint deviations on all surfaces.","actor_type":"system"},{"actor":"AI-controlled robot and quality staff","action":"Robot processes classified defects vehicle by vehicle; staff oversee exceptions and final inspection.","actor_type":"human"}],"decision_mode":"bounded_autonomy","decision_marker":"AI acts within a human backstop"},"before":[{"order":1,"actor":"Paint-shop specialist","action":"Visually inspects painted vehicle surfaces and identifies areas needing treatment.","handoff_to":"Manual marking and rework queue","control":"BMW does not publish a baseline inspection time or escape rate."},{"order":2,"actor":"Rework technician","action":"Marks, sands, or polishes identified surface deviations.","handoff_to":"Final vehicle inspection","control":"Craft judgment and final quality release."}],"after":[{"order":1,"actor":"Automated Surface Inspection","action":"Uses reflected stripe patterns to locate, size, map in 3D, and classify paint deviations on all surfaces.","handoff_to":"Automated processing cell or exception queue","control":"Objective quality criteria; exact low-confidence threshold not public."},{"order":2,"actor":"AI-controlled robot and quality staff","action":"Robot processes classified defects vehicle by vehicle; staff oversee exceptions and final inspection.","handoff_to":"Final vehicle release","control":"Human final release; ambiguous or unprocessable surfaces revert to manual rework."}],"decision_rights":"Automation performs routine rework; humans retain final release.","exception_path":"Ambiguous surfaces route to skilled manual rework.","removed_work":["Routine manual marking and polishing"],"outcomes":[{"metric":"Inspection coverage","baseline":"Manual inspection and processing","result":"All vehicle surfaces inspected in an automated standard-production process","period":"Since 2022-03","scale":"Regensburg series production","attribution_caveat":"Operator disclosure; no escape-rate comparison.","evidence_label":"reported"}],"executive_lesson":"Closing detection-to-rework changes human work to exception and release control.","anti_pattern":"Do not quantify lead-time gains without disclosed measurement.","questions_for_leaders":["Where is the operating threshold set and who can override it?","What measured result would trigger rollback or retraining?","Which residual decisions must remain human-owned?"],"collections":["queue-eliminated"],"bundle_version":"1.0.0","bundle_fingerprint":"sha256:c23c6cc2b88153d008ea8fda928f632ce0011fc2d4c5036672a16e5d895bab93","canonical_url":"https://brianletort.ai/transformations/bmw-regensburg-surface-processing"}