AI-Powered Claims Automation in Healthcare: Built and Delivered by Infoslab Engineers

Project Overview

A leading health-tech organization focused on optimizing patient reimbursement and compliance workflows. The client sought to scale their data operations, automate claims processing with AI, and overcome internal hiring limitations.

Industry

Health Care

Challenge

• Manual claims processing with long turnaround times.

• Disconnected data systems across EMRs, labs, and billing platforms.

• Lack of in-house AI/ML expertise for scalable automation.

• Need for HIPAA-compliant infrastructure and auditability.

Solution & Integration

End-to-End Engineering Delivery

• Designed unified ETL pipelines using Apache Spark and AWS Glue.

• Built claims processing engine using Retrieval-Augmented Generation (RAG) and PyTorch.

• Implemented CI/CD for ML workflows using Terraform, Jenkins, and GitHub Actions.

Consultant-Led Team Model

• Infoslab hired and deployed certified AI and data engineers.

• Engineers worked in a blended model alongside the client’s internal teams.

• Provided ongoing support for scaling, retraining, and operationalization.

Compliance and Observability

• Integrated HIPAA-ready logging, monitoring, and access controls.

• Built Grafana dashboards for live tracking of data quality, model performance, and alerts.

• Ensured traceable audit logs and infrastructure security via IAM policies.

Business Value Delivered

• Metric Outcome Claims Processing Time Reduced by 65%

• Approval Prediction Accuracy Improved to over 90%

• Time to Deploy EngineersLess than 2 weeksHiring and Infrastructure CostsReduced by 40%

• AI Model Deployment Speed4x faster with automated CI/CDCompliance and Audit Readiness100% HIPAA-aligned.

Why Infoslab?

At Infoslab, we help businesses unlock the true potential of their data. Our Data Engineering teams specialize in designing high-performance, scalable, and secure cloud data platforms that empower real-time insights and drive operational excellence

Looking to modernize your data infrastructure?

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Technology Stack

• Data Engineering: Apache Spark, AWS Glue, Airflow

• Machine Learning: PyTorch, Hugging Face, AWS SageMaker

• DevOps & CI/CD: Terraform, Jenkins, GitHub Actions

• Monitoring & Compliance: Prometheus, Grafana, AWS IAM

Delivery Highlights

• Solution designed and delivered entirely by Infoslab engineers

• Consultants embedded into client’s agile teams

• Delivered MVP platform in under 10 weeks

• Long-term partnership established for MLOps and scaling