Multinational Manufacturer (Anonymous Refiner)

Asset inspectors had to manually search across multiple systems — cloud storage, asset management platforms, and hundreds of scanned legacy records including handwritten notes — to piece together equipment inspection data. The process was non-scalable and inconsistent, directly impacting turnaround times, accuracy, and timely equipment maintenance decisions.

C3 AI configured an AI-powered inspection data pipeline in a few weeks that provided real-time AI-generated summaries of equipment inspection data, along with historical document search, annotation, and retrieval. The platform unified 91 physical assets and 70 years of non-digitized unstructured documents across seven structured data sources, enabling inspectors to locate insights quickly with source links for verification.

Inspection scoping turnaround times were reduced by 80%, allowing tasks to be completed in hours instead of days. All 100% of users reported the solution significantly accelerates inspection scoping and effectively surfaces critical technical data. Seventy years of previously inaccessible historical records were made available, revealing risks and recommendations invisible to prior data tools.

• Unifying decades of unstructured legacy documents with live structured data can unlock previously invisible asset insights at scale. • AI-generated summaries with verifiable source links drive user adoption by building trust in automated outputs. • Reducing scoping turnaround from days to hours has direct downstream impact on maintenance planning and asset reliability.