An organization partnered with Clear Measure to modernize its invoice data processing by replacing a partially automated and error-prone workflow with an AI-driven data extraction solution. The existing process lacked consistency, scalability, and accuracy, making it difficult to efficiently capture, organize, and analyze invoice data.
Clear Measure provided architectural leadership, technical expertise, and project coordination to design and build an AI-powered pipeline capable of automating data extraction while maintaining high precision and cost efficiency.
The engagement included developing and testing a working prototype, validating results through manual reviews and sample analysis, and evaluating alternative models to ensure optimal performance and value. Clear Measure also refined the architecture and codebase to support future development and scalability. Despite challenges with inconsistent source data, the solution achieved 93% validated accuracy, exceeding the organization’s 90% target. The result was a scalable, production-ready foundation that significantly reduces manual effort, improves data quality, and enables continued automation and operational efficiency.
