Extracting Data From FNOL With Intelligent Document Processing
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
What Is FNOL?
The First Notice Of Loss (FNOL), also referred to as the First Notification Of Loss, is a report submitted by an insurance holder to their insurance provider to make a claim. When a theft, loss, or damage to an insured asset occurs, the first notice of loss is the initial report that kick-starts the process of the formal claims cycle. Once the FNOL is recorded by the insurance provider, the policyholder can make an official filing of their claim.
The first notice of loss contains specific details of the incident that allow insurance providers to check, verify, and initiate the claims handling process.
What Can You Infer From The FNOL?
The first notice of loss is a critical step that initiates the cycle of insurance claims. It establishes the first line of communication between the insurance holder and the insurance provider following the unfortunate incident. After the FNOL is provided by the insured and recorded by the insurer, the next steps of the process which include handling the claim, documentation verification, and communication between the two parties can begin.
The FNOL contains crucial information about the incident that is vital for an insurance provider. The first notice of loss can help insurers infer details like the nature of the incident, date, time, and location of the incident, description of the damage, initial assessment of fault, police report number, witness information, details of the parties involved, potential coverage issues, and severity of the loss.
This information helps the insurance company with the claims handling process, including investigating the claim, determining coverage, assessing the extent of the loss, and working with the policyholder to resolve the claim based on the terms of the insurance policy, finally leading to settlement.
Who Uses Data From The FNOL?
The data from the first notice of loss is typically used by various parties in the insurance industry to gather information and set the stage for the claims handling process. Some common entities that use data from the FNOL include:
Investigators of Insurance Fraud
Where Is The FNOL Used?
The first notice of loss is used across different entities in the insurance industry. Whether it is to start the insurance claims process, verify details of the insured, or simply use the details to create policies, the FNOL is a critical report. Here are some key places and situations where the FNOL is used:
Risk Management Teams
What Are The Challenges In Extracting Data From The FNOL?
The first notice of loss contains a vast number of data that can be challenging to extract. The complexity of the data makes it a difficult task for people in the insurance industry due to the variability of data, unstructured entry patterns, illegible handwritten forms, and the use of non-standard terminologies. The FNOL report contains sensitive personal and financial information that requires careful handling.
In several cases, the FNOL may contain missing data or incomplete information. Policyholders may omit filling out critical information that is pertinent to the claims handling process, making it a huge issue. There is also a lot of ambiguity in the language used to describe the events which may become confusing and unclear for the insurance companies.
A major hurdle while extracting data from the FNOL is that it comes from multiple sources, including paper forms, online submissions and notes from call centers. Gathering data from these sources can be laborious. Extracting data from a large number of forms, verifying and validating the data, and integrating the data into various insurance systems require data compatibility and smooth data transfer. These challenges make it a must to adopt tools that can process the first notice of loss seamlessly to improve accuracy and enhance its overall efficiency.
What Is Intelligent Automation Of FNOL Extraction?
Intelligent automation of the FNOL extraction uses advanced technologies, such as machine learning, robotic process automation, and artificial intelligence, to streamline the process of extracting data from these reports. By using Infrrd IDP for data extraction from the first notice of loss, insurance companies can enhance their efficiency, accuracy, and speed of data extraction to ultimately improve the claims handling process.
A Comparison Of The Benefits Of Manual Processing Of The FNOL Against Human-Steered Infrrd IDP
What Are The Benefits Of Automating FNOL Extraction?
There are several benefits to using Infrrd IDP to extract data from the FNOL:
Efficient handling of high-volume reports
Increased data accuracy
Improved speed of processing insurance
Reduced cost of repeated tasks
Improved customer experience
Faster claims settlements
Decreased risk of human errors
Ready to get started?
See our platform in action to experience the transformative efficiencies it can bring to your processes
In a fast-paced world filled with never-ending rivers of documents and data, organizations continuously need smarter ways to work. Teams need flexible solutions that enable them to work faster while delivering higher levels of reliable accuracy than ever before. At Infrrd, we empower teams with Intelligent Document Processing Solutions for Intelligent Work™.