Challenge
Historically, asset inspectors had to search across multiple systems for equipment inspection data, manually piecing together information from cloud storage and asset management platforms, as well as hundreds of scanned pages from legacy records. The process was lengthy and non-scalable, especially with records including handwritten notes and inconsistent document formats. Such constraints affected turnaround time, consistency, and accuracy, impacting timely equipment maintenance.
Solution
Over a few weeks, the C3 AI team collaborated with subject matter experts and asset inspectors to configure an AI-powered inspection data pipeline. This solution provided real-time, AI-generated summaries of equipment inspection data, along with historical document search, annotation, and retrieval capabilities. The platform integrated data from cloud storage and asset management systems, enabling inspectors to quickly locate relevant insights and access AI summaries with source links for deeper verification. C3 AI applications deployed on AWS leverage AWS services and solutions, including Amazon EKS, Amazon RDS and Amazon SageMaker.
Solution Architecture
Proven results in weeks, not years
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