Document Processing · Risk Management
In the health insurance industry, trust is the one currency that matters in the long run. For OneAssure , an insurtech platform that simplifies the health insurance journey in India through a digital first and human centric approach, building that trust was once a race against a mountain of unstructured data.
Reported impact
Reduced policy document processing from 10 minutes to under 60 seconds with Document AI OneAssure scales insurance trust, cutting policy processing from 10 minutes to 60 seconds with 98% accuracy on Google Cloud.
Manual slips such as a miscalculated premium or a missed nominee did more than just create paperwork; they led to payout inaccuracies that directly threatened the relationships OneAssure held with its network of over 250 advisors. As the platform reached a scale of 1,000 new users per month, the team realized that to protect their foundational promise of trust, they had to move beyond the limitations of human effort and embrace a future built on AI on Google Cloud. By moving their infrastructure to Google Kubernetes Engine (GKE) and leveraging , OneAssure was able to deploy a functional version of their extraction tool in just one week. This shift turned a 10-minute manual data entry chore into an automated process that takes less than one minute, effectively increasing data accuracy from 95% to 98% and eliminating the human errors that previously led to payout disputes.
Increased data extraction accuracy from 95% to 98% using Gemini platform
Lowered manual query volume between internal teams and partners by 30% using Gemini platform
OneAssure scales insurance trust, cutting policy processing from 10 minutes to 60 seconds with 98% accuracy on Google Cloud.
Reduced policy document processing from 10 minutes to under 60 seconds with Document AI
With nearly half of their business flowing through offline channels, the team had to run a manual marathon, using human eyes to comb through complex PDFs that mixed images and text. A lean operations team spent their day
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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