Ensure clear accountability and responsibility in AI development and outcomes, in keeping with client goals. Combine rigorous internal policies for model application and training with collaboration on safety and potential harms to secure higher quality data, ensure trainer safety, and manage complex challenges effectively.
Develop and use AI applications in a manner that respects human rights, promoting the welfare of all individuals and a safe working environment. This includes the ethical sourcing and enrichment of data used to develop AI systems.
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Sedgwick needed to enhance their claims management and compliance processes to handle high volumes efficiently and reduce the risk of errors and delays.
Claims management was enhanced by automating the creation of claim denial shells and streamlining the handling of medical bills and lawsuit claim notes. Additionally, compliance and data management were optimized with solutions that ensured accurate and timely processing of compliance documents and data points.
Sedgwick achieved a 40% reduction in processing time for claim denial shells for 1,000-1,500 shells monthly and improved customer satisfaction. Compliance workflows saw an 83% improvement in document processing speed, saving over 650 days of manual work and preventing millions in potential penalties.
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