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AI document processing for insurance claims handling

Claims teams don’t need more paperwork – they need faster decisions. Affinda automates claims document processing with AI, turning claim forms, invoices and evidence into structured data you can use.

Describe your exact workflow

Tell the agent what needs to happen in your insurance claims handling process and where the results should go.

Automate claims handling workflows

Stop wasting time on manual processing

Manual handling slows down claims decisions and increases operating costs. We help you automate claims document processing so your team spends less time keying data and more time assessing coverage, liability and outcomes.

Accelerate claims approval timelines

Delays often happen when claim documents need to be reviewed, checked and re-entered into a claims system. We enable faster straight-through processing by extracting key fields and applying validation rules, so low-risk claims move through faster, and complex claims reach the right handler sooner.

Improve accuracy, eliminate errors

Manual data entry and document interpretation lead to errors, missed details and inconsistent outcomes. Our AI platform delivers high-accuracy extraction that adapts continuously to every document and human interaction.

Scale claims volume without stretching teams

As claim volumes rise, manual workflows become a bottleneck. We help claims teams process more claim documents without additional headcount, improving throughput during peaks, catastrophes and seasonal surges.

Stay compliant and secure

Claims teams need traceability across every decision. We maintain a clear record of every document processed, where every extracted field came from and every rule that’s applied, supporting compliance, dispute resolution and audit readiness.

Extract any information from any document, fast

Purchase order Invoice

Claims intake

Digitize claim forms and validate against required fields and your reference data, so only complete, accurate claims enter your system.

Evidence review

Extract key details from tax returns, medical records, financial statements, invoices and supporting documents, then check for consistency and flag anomalies.

Fraud detection

Highlight inconsistencies across submitted documents and flag anomalies for review earlier in the claims process.

Policy validation

Verify extracted claims data against your records, verifying policy numbers, claim limits and eligibility requirements, before claims proceed.

Settlement support

Review settlement packs and supporting documentation before payout approval, reducing errors and improving auditability.

Customer communication

Process correspondence and route it to the right claim handler, leading to faster responses, fewer delays and better claimant experience.

No need to talk to sales. Get started now

With a free trial, discover how easy it is to extract any information from any document, fast.

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Upload documents

Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.

See the magic

Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.

Automating their document processes with AI

All customer stories
PSC Insurance accounts payable automation customer story
Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers.
Nathaniel Barrs, CTO, PSC Insurance
95%

reduction in manual work

10×

more invoices processed with no added staff

Enhanced auditability and tracking of invoice approvals

Northline logistics document automation customer story
Customer satisfaction is always our top priority, and Affinda has helped us achieve that by eliminating phone calls, manual handling, and delays.
Jorg Both, Head of Business Systems, Northline
120,000

proof of delivery documents processed annually

82%

of documents straight-through processed in the first weeks

Automatic validation of documents against ERP system

SEEK resume parsing customer story
Affinda's ongoing improvements in its AI models demonstrate its innovative approach in Document AI.
Michael Zhao, AI Product Manager, SEEK

High accuracy parsing across multiple languages

Improved customer experience thanks to better structured data

Stronger compliance with international data security and software standards

StateCover Mutual invoice processing customer story
Affinda’s support and expertise were invaluable… The experience working with Affinda was excellent.
Nick Tran, Business Analyst, StateCover Mutual
300,000

documents processed annually

80

different document types

60%

time saved in reviewing invoices

Felix compliance document processing customer story
The results have spoken for themselves. I recommend Affinda to anyone looking to enhance their product or business with AI capability.
Steve O’Keeffe, CTO, Felix
76%

reduction in manual data input

30%

reduction in compliance data errors

85,000

compliance documents processed annually

Combine the best of artificial and human intelligence

1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
Person listening intently in a meeting

Frequently asked questions

How can automated claims processing speed up claim intake, triage and assessment?

Automated claims processing structures and validates claim information earlier in the workflow, before a handler begins the detailed assessment. Claim forms, invoices, evidence, reports and correspondence can be classified, extracted and checked as they arrive, helping teams triage the file and identify missing information sooner.

You can learn more about broader document processing in insurance and insurance workflow automation from our team.

What documents can be automated in an insurance claims workflow?

Insurance claims workflows can include claim forms, ACORD forms, invoices, receipts, medical reports, repair estimates, policy documents, evidence files and assessment reports. These may arrive over time and in different formats, so the workflow needs to identify each document and add the resulting data to the correct claim. Our guide to insurance document automation provides more examples.

How can claim forms, invoices, evidence and reports be validated before assessment?

Claim documents can be checked for completeness, consistency and required fields before a handler begins the assessment, so gaps and mismatches surface early rather than mid-review. Validated data can pre-fill claim records, organise incoming evidence and flag missing information, while failed records stay visible for review. Data matching supports those checks, and integrations move the confirmed result into the claims system without replacing the handler's judgement.

How can claims teams keep human review in place for high-risk or complex files?

Claims teams can define the document fields and validation failures that should always trigger review. High-value claims, inconsistent evidence, policy mismatches or unclear documents stay with a handler, while routine records that pass the configured rules can move through automatically. This is the control model behind straight-through processing and is explored further in our article on intelligent document processing in insurance.

Can extracted claims data be matched against policy records or downstream claims systems?

Yes. Extracted claim data can be compared with policy records, customer details or prior claim history to confirm cover, check consistency and flag mismatches before a claim progresses. Data matching handles those reference checks, and once the data is confirmed it can be shaped with data transformations and sent into the claims or policy system through an API or configured integration.

How is claims OCR different from claims workflow automation?

Claims OCR reads text from claim documents, while claims workflow automation turns that information into a controlled operational process. It classifies the claim files, extracts relevant fields, validates the data, routes exceptions and sends confirmed information into the downstream claims environment.