Claims processing automation: how to cut manual data entry in insurance claims
The best claims processing automation shows your handlers only the data that needs their judgment. Everything else, from sorting the morning mail to keying a policy number, happens without them. This guide shows you how to set that up, step by step, so you cut manual data entry in insurance claims and keep control of every decision.
Enterprises already see automation this way. In the Market Momentum Index IDP Survey 2025 by Deep Analysis and AIIM, 600 enterprises in the US and Europe ranked reducing headcount last among their measures of success. Speed and return on investment mattered more.
Below you'll find a six-step claims process with almost no keying, plus how to handle documents that arrive later.
Key takeaways
- Manual data entry is concentrated at the start of the claims process, so automating intake pays off first
- A structured digital claim form removes keying at the source, because the claimant enters the data once
- New claims get their document, claim number, claims file and confirmation email automatically
- Documents that arrive later by mail or email are read automatically and filed by claim number
- Confident fields pass straight through, while low-confidence fields, fraud flags and complex claims go to a person
- Extracted data belongs in a claims file with an audit trail and retention rules
- With one central intake, DEVK processes 32% of its claims on the day they arrive
What is claims processing automation?
Claims processing automation is the use of software to handle insurance claims work that people used to do by hand. It captures claim data in a structured form or reads it from incoming documents, then builds the claims file and routes each claim to the right handler. People review only the exceptions.
Where manual data entry slows down claims handling
A claim moves from first report to settlement and closure, and every step brings new documents. Each one has to be opened, sorted and keyed before anyone can act on it.
That keying is where claims stall. A repair estimate sits in a queue while the assessment waits for its numbers, and the policyholder waits with it.
The first report sets the pace for everything after it. Claims documents arrive through every channel, each in its own format, and someone has to read and key each one before a handler can start.
DEVK, the German insurer, worked this way before it digitized claims. Cases were handled on paper and scanned afterward, with no workflow to show where a claim stood. Covering for an absent colleague meant finding the paper file first.
How to automate claims processing end to end
The fastest way to cut manual data entry is to avoid keying the data at all. Let the claimant enter it once, in a structured form, and let the system build the document, the claims file and the next steps from there. Documents that still arrive by mail or email are read automatically.
Four capabilities share the work. Digital forms and document generation handle the communication with the claimant, enterprise content management keeps the claims file, business process management moves the claim, and intelligent document processing reads every document that arrives later.
Step 1: Give claimants one structured intake channel
Offer a digital claim form on your website or app as the main way to report a loss. The claimant enters everything in a fixed structure from the start: who was involved, how it happened, when, and what was damaged. Photos of the damage go into the same form.
Nobody on your team retypes a single field, because the data arrives clean.
Step 2: Generate the claim document and claim number
As soon as the form is submitted, the system generates a document with all the required information and creates a claim number. Every later document and step refers to that number.
Step 3: Open the claims file inside the customer file
The claims file is created automatically within the customer's file, following a predefined, process-oriented structure. The file overview shows the key facts at a glance, so the handler knows the claim before opening a single document.
Step 4: Route the claim to the responsible handler
The workflow assigns the file to the responsible claims handler based on your own rules, such as skills or capacity. Simple claims move toward settlement, and large or complex ones go to an experienced handler.
Step 5: Confirm the claim to the claimant right away
The claimant receives an email with the generated document, the claim number and a summary of the claim. The summary includes the contact details of the responsible handler, so the claimant knows who to call with questions.
Step 6: Request missing information automatically
Because the claims file has a fixed structure, it shows which documents are still missing. The claimant can add them through the intake form, or an automated workflow follows up later to request them.
For more serious claims, your handler requests additional documents as needed, such as an expert assessment or a medical report.
Not every document comes through the form. The next two steps run whenever something arrives later, at any point in the claim.
Capture documents that arrive through other channels
Claimants and third parties still send documents by mail or email, at any time. Paper gets scanned centrally and emails come in with their attachments. DEVK digitizes up to 4,000 letters a day this way and processes 32% of its claims on the day they arrive.
Each document is classified by its layout or content, and AI-based extraction reads the fields your handlers would otherwise retype. The claim number assigns each document to the correct claims file, and rules flag inconsistent or duplicate data.
Send only the exceptions to a person
Each extracted field carries a confidence score. Fields above your threshold pass through, and the rest appear highlighted for a handler to confirm or correct. Every correction your team makes also improves future extraction.
Get the guide to process automation and case management
Automated intake is where you start. The bigger gain comes when every claim runs as a managed case, from the first document to payment release.
Download the guideDecide where people check the data
Plan the human checks before you automate, so your team trusts the data that passes through. Set them at these handoff points.
|
Situation |
What happens |
Who checks |
|
Field extracted with high confidence |
Passes through |
Nobody, unless a rule fails |
|
Low-confidence field or failed rule |
Appears in an exception task |
Claims handler confirms or corrects |
|
Medium or high fraud or tampering score |
Held for review, never auto-rejected |
Specialist reviewer |
|
Critical document |
Sent to human review |
Authorized staff |
|
Large or complex claim |
Routed to a senior workbasket |
Experienced handler |
|
Payment release |
Four-eyes approval |
Second approver |
Fraud checks give your reviewers a risk score to judge, and the final call stays with them. Treat handwritten forms and unusual layouts as review cases from the start, so your handlers spend their time on the documents that need them.
Keep a claims file you can audit
Extracted data only helps if it lands somewhere you can trust later. A managed claims file records who changed what and when, and it applies retention rules to every document. When an auditor asks how a claim was decided, the answer is in the file.
Access rights decide who can open each document. Retention and deletion rules help you meet GDPR, because personal data in closed claims is deleted on schedule.
Delvag, an aviation and transport insurer, shows what this changes. Its claims used to sit in a mix of paper and an archive nobody could search, and the second signature on a payment was easy to forget.
Today the workflow enforces four-eyes payment release with sample audits. Delvag handles claims up to 10% more efficiently with the same headcount.
Connect documents to your claims system by API
Integration is where many automation projects stall. In the same Market Momentum Index survey, difficulty integrating with existing systems ranked third among the reasons enterprises want to change their document processing software.
Bots that type into screens break when a screen changes. An API-based flow passes documents and data straight into your core claims system, with webhooks to trigger the next step and a log of every handoff. Your core platform stays in place.
What to look for in claims automation software
Use this checklist when you compare vendors. It covers what matters for an enterprise insurer handling thousands of claims documents a day.
- AI-based extraction that copes with changing layouts and scores its confidence for every field
- Human review built into the workflow for low-confidence fields and flagged documents
- Fraud and tampering checks that flag risk for a reviewer
- Integration with your core claims system through open APIs and webhooks
- A managed claims file with audit trail, retention rules and access rights
- GDPR compliance and current security certifications you can verify
- Support for the languages your policyholders write in
- Digital claim forms that feed structured data straight into the claims file
- Automatic claims file creation with a claim number for every new claim
- Document generation for confirmations and claims letters on the same platform
Take manual data entry out of claims handling with Doxis
Your handlers should spend their day on claims that need judgment. With Doxis, claimants report a loss once in a digital form, and the claim document, claim number and claims file are created automatically. Documents that arrive later are read and filed by claim number, and people confirm only the exceptions.
Doxis brings the four capabilities together on one platform. Intelligent document processing reads your claims documents, business process management moves each claim, enterprise content management for insurers keeps the claims file, and digital forms and document generation handle every interaction with the claimant. The data stays in one place, which keeps every decision traceable.
- Digital claim forms that capture structured data at the source
- Claim document, claim number and claims file created automatically
- Confirmation emails and claims letters generated from your templates
- Documents from other channels classified, extracted and filed by claim number
- Claims routed to the right workbasket by your rules
- One digital claims file with audit trail and retention rules
Doxis is a Leader in the Gartner® Magic Quadrant™ for Document Management 2026. Request a free demo.
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FAQs on claims processing automation
Which claims documents can be automated?
Most claims documents can, from claim forms to medical reports. Each one is classified and its key data extracted, and results with low confidence go to a handler for review.
Can claims automation send letters to policyholders?
Yes. Document generation creates acknowledgments and other claims letters from your templates, fills them with claim data and stores each copy in the claims file.
Does claims automation replace claims handlers?
No. It takes over sorting and keying, so handlers spend their time on assessment and complex claims.
Can automation process handwritten claim forms?
Handwriting is harder for any recognition software to read reliably than print. The safest setup sends handwritten forms to a handler for confirmation.
How does claims automation help with fraud detection?
Automated checks look for signs of tampering and duplicate submissions and give each document a risk score. Medium and high risk cases go to a reviewer, who makes the decision.
Is automated claims processing GDPR compliant?
It can be. Look for processing under a data processing agreement and retention rules that delete personal data on schedule.
How does claims automation connect to an existing claims system?
Through APIs and webhooks. Documents and extracted data reach your core claims platform directly, with every handoff logged.
What is the difference between claims automation and straight-through processing?
Claims automation covers every step that software takes over, from intake to filing. Straight-through processing describes claims that go from intake to payout with no manual step, which suits simple, low-risk claims.
Laurent Maneville
Laurent Maneville travaille avec de grands comptes internationaux chez DOXIS, principalement dans les secteurs Banque/Assurance et Pharma. Avec une approche centrée sur les enjeux métier et la création de valeur sur le long terme, il accompagne les organisations dans leurs projets de digitalisation, de modernisation et d'automatisation des processus documentaires. Le but est de valoriser leurs données et d'améliorer la qualité de service pour leurs clients finaux.
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