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Effectively understanding the risk exposure that wraps around a customer or area of coverage is paramount to underwriting a new policy.
Loss run reporting is a critical component of the underwriting process, highlighting frequency, costs and proceeds from previous claims.
However, gathering and analyzing loss history can be complex and time-consuming - resulting in extended quote cycle times and ultimately missed opportunities.
Challenges include
Extracting detailed exposure and loss history from structured and unstructured documents
Manually processing and analyzing data across dispersed policy and underwriting systems of record
Time delays from requests to third party data sources or reliance on BPOs to produce the correct data
TRANSFORM LOSS RUN PROCESSING WITH DIGITAL COWORKERS
See how we reimagine loss run report processing for underwriting teams
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New loss run reports are submitted directly to a Digital Coworker for scanning, classification, analysis and key data extraction.
Traditionally, the underwriting team scours several documents and data sources – or is forced to call out to external data sources - to validate the loss run reports. Then, identifies key information and manually enters the data into the underwriting/policy system.
In this future state, the Digital Coworker ingests the loss run reports and third-party data from a dedicated location and uses InsurGPTTM to first classify each document type, then extract key information (such as company name, previous policy number, amounts paid, date of previous claim etc). Finally, The Digital Coworker then transacts all the data into the underwriting/policy system.
Digital Coworkers exponentially increase the capacity of your underwriting team by removing manual data work and surfacing critical information to support underwriting decisions.
Enables faster quoting
Loss run reports are processed exponentially faster, with greater accuracy – reducing quote cycle times and smoothing peaks in demand
Increased capacity across the underwriting team
Able to analyze structured and unstructured data, across a high variety of documents and formats
Our Customers see Digital Coworkers as important members of their team
“The Digital Coworkers Roots Automation provides work in conjunction with our Team to optimize our medical claims process. Our Digital Coworkers provide the simplicity and scalability necessary to deliver best-in-class productivity to our clients. Additionally, we value the insights from the Roots Automation Team about our processes, of which, we integrate into our continuous improvement plans for our business practices in order to provide industry leading solutions.”
Kevin Mahoney
President & COO, Carisk Partners
“Everything happened fast, our digital coworker ‘Roxy’ was trained and ready on time as promised! The team at Roots Automation have been a pleasure to work with! They’ve anticipated our questions and respond quickly to our asks and changes.”
Lea Lundquist
VP, Claims Administration, Protective Insurance
“We appreciate all of Roots Automation's efforts to automate a challenging initiative with 500,000+ transaction requests annually. Our internal Center of Excellence was able to get to production faster and more cost-effectively than what we originally planned.”
David Emmer
CIO, Anchin, Block & Anchin LLP
"Insurance companies have a desperate need to automate many business processes for efficiency, but current solutions are limited to rule-based tasks and aren’t insurance industry-specific, limiting their potential, Digital Coworkers lessen our stress over finding and retaining talent, and unburden our teams so they can focus on more impactful work. Roots Automation’s unique approach to automation has improved our employee retention while offering superior economics and enhanced customer experience".
Cathy Raitter
VP of Insurance Support Services, Berkshire Hathaway Guard President
"Roots Automation has helped American Exchange automate and improve a lot of our internal data validation and data entry processes. This has both reduced our workload and has reduced human data entry error to almost zero. The best part is that our process with Roots Automation has allowed our agents to do what they do best, and that is talk to people and help them with their individual and Medicare health insurance decisions."
Andrew Hetzler
Chief Executive Officer, American Exchange
“We began our relationship with Roots in 2022 as part of a larger corporate strategy to use technology to be more efficient and to better serve our customers. With Roots, they're only focused on the insurance industry. They could talk our language and lead us through different workflow options; they knew the challenges we would face and we made quick decisions in a short timeframe. It was very rewarding, in the end, to have deployed the first Digital Coworker at Eastern. I'm very proud. We solved the core use case problem and accomplished our goal of implementing AI into Eastern Alliance.”
Harry Talbert
Senior Vice President of Information Systems, Eastern Alliance
INSIGHTS, NEWS & RESOURCES
Webinars
Webinar: 100x your underwriting & claims performance with AI
What would you do if you had 100x capacity, accuracy, speed across your claims and underwriting operations?
Read More
Whitepapers
Whitepaper: Solving the Insurance Industry's Unstructured Data Challenge with AI
Read More
Whitepapers
Whitepaper: Transforming Commercial Underwriting with AI-Powered Digital Coworkers
Read More
Blogs
Announcing our $22.2 million Series B
Success Story
Increasing speed & accuracy of Claims Document Processing for a large Insurance Conglomerate
Whitepaper: Solving the Insurance Industry's Unstructured Data Challenge with AI
Turning natural language information into actionable decision-data
Roots Automation at ITC Vegas 2024
What would you do if you had 100x capacity, accuracy, speed across your claims and underwriting operations?
Increasing speed & accuracy of Claims Document Processing for a large Insurance Conglomerate
Our Customer chose to adopt a Digital Coworker due to its ability to ingest and make sense of a significant amount of data held within structured and unstructured claims documents.