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.

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 days painstakingly typing data into as many as 30 different fields for every single document: a process that took 10 minutes per file and was inherently prone to human error. With Google Cloud, OneAssure pivoted to a robust AI ecosystem needed to solve this specific bottleneck.

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.

OneAssure’s transition to Google Cloud was a strategic move to standardize on a ‘One Google’ ecosystem that could support an AI-first roadmap. Working alongside partner Enhub, the engineering team utilized the model garden in Gemini Enterprise Agent Platform (GEAP) to identify the perfect balance between cost, latency, and reasoning depth for their data extraction needs. This collaboration went beyond simple deployment; Enhub provided critical guidance on optimizing model parameters like temperature and thinking tokens to ensure the precision required for sensitive insurance data.