Before the breakthrough of automation, and even after that, policy checking has been a manual process. If you are familiar with the task, you must also know how much time and effort this process consumes. A regular policy document or binder consists of around 30 to 250 pages and even more! Going through the exhaustive policy documents, verifying their details with the management systems, and then manually taking notes of differences or matching information to create a checklist sounds quite intimidating. You can only imagine doing it on repeat for each policy !
Do you know the entire policy check process takes up to 2 hours for each policy? And commercial insurance companies are still following the same old, tedious manual review of policy documents.
However, you can reduce this time to only less than 3 minutes and your answer is Policy Check Automation.
Decades of experience in the IT and automation sector and our successful association and proficiency with Appian have led us to build a high-quality Policy Check Automation solution.
Our solution is simple and fast and you can implement it to digitize, automate & validate each policy type in only two weeks.
Data Extraction
Predefine Checklist
Color-Coded Errors and Ommissions
E&O Summary
On-Screen Visualisation
Audit-Trail
Tech Tammina utilizes its Appian expertise for policy check automation solutions. We have utilized the two big features AI and Bots, of Appian that helped us build this robust and time-efficient solution for commercial insurance carriers.
Intelligent Document Processing (IDP) has benefited Insurance Agencies / Brokers & Carriers
with faster document processing. It has also improved the accuracy of extraction and
productivity, and ensured paperless document processing. In addition, since no manual data
entry is required with IDP, there are no more human errors, leading the solution to be
cost-efficient.
With the help of Appian IDP's AI - Auto ML capabilities, we can
analyze and extract relevant data points from any Policy Document irrespective of various
formats / patterns.
Robotic Process Automation (RPA) is transforming the way insurance organizations operate by
streamlining their manual processes and reducing the burden on human employees. Appian RPA
communicates with legacy business systems and applications to increase productivity by
leveraging a scalable, digital workforce.
Using Appian RPA we can accurately extract
data from any agency management system based on Policy Number / Type / Customer Name.
Appian's Low-code capabilities let us rapidly design and build beautiful UIs with quicker development deployments, and integrate all your technologies, data, and systems into a single workflow to accelerate business results. Leveraging such capabilities, we have developed a pre-defined customizable checklist to showcase the difference and matching information consolidated from Appian IDP & Appian RPA.
We were impressed by the platform's capabilities and its capacity to quickly and precisely collect and synthesise the data we required for Policy Check. The application's key feature is its flexibility, which enables highly customizable workflows to meet our daily business needs and dramatically shortens process times. It also connects with other systems with ease. Insurance Agency Broker from Lynchburg, Virginia
If you’re wondering why to choose Tech Tammina’s Insurance Policy Check Automation solution,
let us tell you that it is both efficient and cost-effective. With a rapid setup, accurate
extraction, powerful automation, and the goodness of machine learning, our automation
solution will simplify the policy check process.
Compared to the competing
solutions, you can get user reconciliation, allowing users to modify / select the missing
information from the auto-extracted data. You will also get a highly customizable checklist,
verification with AMS, custom workflow, and many more features. On top of that, our solution
will cost you just $3 per policy, compared to the competing solutions that cost about $20
per policy. Talk to us today to learn more !
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