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As much as 40% of an underwriter’s time is now spent on non-core administrative tasks.
Most underwriters can only address 20-40% of inbound opportunities.
Digital-first competitors are putting the squeeze on traditional insurance companies.
Get the data you need before making coverage and liability decisions while better controlling loss ratios with guidance on when you should quote. Now, you can respond more quickly to win more of the business you want.
With Indico’s AI and ML technologies, you can reduce your intake process costs with full confidence that processes will adhere to industry best practices, ensuring compliance while preventing underwriting leakage.
Automating your submissions intake process not only allows you to write more premiums but also handle a larger number of submissions in less time and with no upper limit to intake capacity.
At the heart of Indico Data’s solutions is DocumentDNA, our proprietary approach to modern AI and machine learning. DocumentDNA enables seamless multi-channel, multi-document intake for any format, using accurate, automated processes that keep your employees “in the loop” – giving you the power to make more informed decisions faster.
Powered by an AI-driven, multimodal fusion approach to document understanding, we gather both semantic and visual information to drive decisioning.
Our unique approach to transfer learning enables you to build custom ML models with as few as 200 sample documents – not thousands.
Enabled by a patented ML interface, non-technical users can create custom models with our “bionic-arm” approach to stay in the loop of the processes they are automating.
We’ve identified almost $100 million in hard value, hard dollar savings, that we can quite easily achieve over the next three to four years using unstructured data digitization and analytics tools. That just headlines how impactful this is.
