Claims are getting more complex, more voluminous, and more expensive to process. Understanding where claims processing automation fits into the lifecycle is the first step toward doing something about it.
What is claims processing automation? Claims processing automation is the process of automating document intake in claims! The claims process begins with First Notice of Loss (FNOL), the intake process of the claim. When the incident is first reported by the policyholder, claim documents are collected via modern automation tools like chatbots, mobile apps, and IoT devices. The information and documents generated by these automated tools must be handled and processed as the insurer reviews the claim. As both parties begin to provide, process, and classify documents, more and more work gets added to the pile.
Claims processing automation helps to streamline these workflows. By classifying, extracting, and routing documents across the entire lifecycle of the claim, evidence can be sorted, classified, and organized chronologically – making it far easier, and more efficient, to work with these documents over the claims lifecycle.
Why Insurance Claims Are So Hard to Automate
If claims processing automation is so powerful, why haven't insurers solved this already? The answer lies in what makes claims uniquely difficult: a tangle of messy data, human judgment, and regulatory pressure that resists simple fixes.
Why does your insurance claim take so long to process? Unstructured data, inconsistent formatting, and compliance risk all combine with medical and legal complexity to make it time consuming and mentally taxing to work on a file. Add in the increased cognitive effort associated with task switching – taking calls, responding to emails, and then retrieving documents from different parts of the file – and the result is a complex, hard to handle claim!
Without AI and claims processing automation, these documents can become siloed in different parts of the file, making it harder (and slower) to access, read, and interpret them as part of a claim. With AI, these documents can be easily accessed in any format that your team might require – from medical record chronologies that are automatically sorted based on data, provider, or type, to pre- and post- incident views tied to the date of the injury, accident, or incident, claims processing automation can help smooth out the process of reviewing a file.
How AI Supports Claims Adjusters and Review Teams
The real cost of manual claims work isn't just time, it's the compounding effect on your best people. Here's what AI-powered claims processing automation actually looks like on the ground, and why it matters now more than ever.
A large portion of the claims adjuster’s day is spent administrating their tasks – opening documents, renaming files, copy-pasting details and scanning for key dates, injuries, or costs. In fact, claims professionals still spend 40–60% of their day organizing and reading documents before making a single decision. While the typical caseload for a claims adjuster used to be around 65 to 80 open claims, it is now common for an adjuster to have 125 to 150. Increasing claims volume, industry turnover, and shifts in the legal and regulatory environment have all put pressure on teams without adequate claims processing automation to offset these pressures. Property claims volume in 2024 rose by 36%, driven by a 113% increase in catastrophic loss claims, signifying just how significant the need for meaningful change and automation in claims processing is.
Claims processing automation is helping claims teams take document processing off of their plate by extracting key data from documents and organizing what can be hundreds (or even thousands) of pages of medical records, removing duplicate or irrelevant documents, and indexing what can be a fragmented timeline across providers.
With the power of claims processing automation and a claims decision intelligence platform, claims documents are becoming accessible at your fingertips – in clean, easy to use timelines for faster decision making. All of this helps both claims adjusters and review teams to work faster, smarter, and more efficiently.
The Future of Claims Processing Automation Is Already Here
The claims processing automation transformation described isn't a distant possibility but what’s leading claims teams are already putting into practice. The question for most insurers isn't whether to adopt AI-powered claims processing automation, but how quickly they can get there before the gap between high-performing and struggling teams widens even further.
Wisedocs Claims Decision Intelligence is built for exactly this moment. We've rebuilt our platform from the ground up to meet the demands of modern claims teams: faster document processing, deeper decision intelligence, and workflows designed around how adjusters and review teams actually operate. Whether you're managing a high volume of routine claims or navigating complex, high-stakes files, Wisedocs claims decision intelligence gives your team the tools to move with speed and confidence.
See what's new, explore Wisedocs claims decision intelligence and discover how the next generation of claims intelligence can work for your team.
FAQ
What types of insurance claims benefit most from claims processing automation?
High volume, document-heavy claims in industries like workers’ compensation, personal injury, or long-term disability see the greatest efficiency gains from claims processing automation. Due to the tens (or even thousands) of pages of medical records and other supporting documentation involved in these claims, the added complexity of dates and timelines, and the possibility for escalation, claims processing automation is often a good choice.
How does claims processing automation handle unstructured or handwritten documents?
Unlike the purely automated tools of previous years, modern AI uses OCR and document intelligence to ingest, classify, and extract data from each document related to the claim – then make it available to search, summarize, or put into a medical record chronology. Information from handwritten notes, scanned PDFs, and multi-source medical records can be retrieved in a matter of minutes.
Who benefits most from claims processing automation?
Mid-to-large enterprise insurance carriers have the most to gain from automating the claims process. Given the scale of investor volume, the complexity of various workflows, and the cost of manual review, mid-to-large enterprise carriers have the most to gain from adding claims processing automation to their workflows.
How does claims processing automation stay compliant with healthcare and insurance regulations?
SOC 2-compliant infrastructure is the foundation for secure claims, and it protects how your private customer data is managed, stored, and shared. Choosing a claims processing automation tool can help teams stay compliant with regulations as they emerge. Some features, such as Wisedocs' WiseShare feature as an example of how compliance and controlled document sharing can work together – for powerful automation, and all of the trust and privacy that you need in claims.
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