The healthcare industry has massive amounts of data available in health records, and in billing & claims processing systems. Health insurers face a challenge in unlocking the value buried in this data to accelerate claim payments, reduce fraud, drive better patient outcomes, underwrite risk, price dynamically and maintain regulatory compliance.

Autonomous systems are able to learn complex features across multiple dimensional data sets and assist life & health insurance business to not only optimize the performance within a process but also enable multiple processes to work more intelligently in unison.

  • Automate customer targeting and retention strategy using autonomous AI systems, that learns granular features across dimension from data and evolves with new data

  • Reduce underwriter load by increasing STP proportion, flagging information requirements while monitoring financial and medical risks.

  • ACP module uses complex deep neural networks to learn from historical claims enabling near real time decisioning while controlling leakages.

  • Obtain comprehensive, timely and actionable insights into potential transgressions of governance frameworks through autonomous and guided analysis

Improve effectiveness of customer communication to build engagement, boost conversion rates, and decrease churn.

Go beyond rule engines and automate complex cases through autonomous AI systems with high accuracy

Deliver instant claims processing and reduce leakages, while increasing claims decision consistency through automation

Reduce loss ratios by deploying autonomous AI system to monitor risk prone touch points with improved precision and recall

Improve the efficiency of Underwriting by at least 40% and speed of the process by 30%, impacting the business from topline and bottom line

Improve effectiveness of customer communication to build engagement, boost conversion rates, and decrease churn.

Automate customer targeting and retention strategy using autonomous AI systems, that learns granular features across dimension from data and evolves with new data

Go beyond rule engines and automate complex cases through autonomous AI systems with high accuracy

Reduce underwriter load by increasing STP proportion, flagging information requirements while monitoring financial and medical risks.

Deliver instant claims processing and reduce leakages, while increasing claims decision consistency through automation

ACP module uses complex deep neural networks to learn from historical claims enabling near real time decisioning while controlling leakages.

Reduce loss ratios by deploying autonomous AI system to monitor risk prone touch points with improved precision and recall

Obtain comprehensive, timely and actionable insights into potential transgressions of governance frameworks through autonomous and guided analysis

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