Insurance claims automation: how automated claims processing works, from first notice to payment

Insurance claims automation uses software to do the routine work in a claim, from the first notice of loss to payment. It reads each claim document, checks the values against the policy and your rules, and routes the claim. Adjusters then see only the claims and documents that need a decision.

What insurance claims automation takes over

Claims automation, also called claims processing automation, takes over the routine work before and after an adjuster decides a claim. Software takes in the notice and reads the documents that follow. It checks them against the policy, routes the claim and updates your systems. The decision itself stays with your team. Adjusters still decide coverage, investigate the loss and talk to the people involved.

It's rarely one tool. A core claims system, such as Guidewire ClaimCenter or Duck Creek Claims, keeps the claim record, sets reserves and pays the claim. Document AI reads the claim documents and checks them. Robotic process automation (RPA) bots copy data into older systems that have no API. Our post on RPA in claims processing shows where bots stop.

The same document work runs outside claims, on underwriting submissions and certificates of insurance. Our guide to insurance process automation follows an insurance file through every stage, from submission to claim.

How automated claims processing works

Take one homeowners claim at Quillmere Mutual. A loss notice for policy QHM-5561204 arrives by email. It reports a burst supply line at 212 Linden Ave on September 14, 2026. Software sorts the attachments and reads the notice, handwriting included. Then it checks the date of loss against the policy period, March 1, 2026 to March 1, 2027. The loss falls inside it, so the claim is set up without anyone retyping the form.

The rest of the claim file arrives over the next few weeks, from different senders in different layouts. The plumber who shut off the water sends an invoice. A contractor sends an estimate for the kitchen floor and the basement ceiling, with photos. Each document is sorted by type, read and checked. Does it name the same address? Is it dated after the loss? Do its line items add up to its total? A document that passes joins the claim with its data. One that fails waits for the adjuster, with the failed check shown.

So the adjuster no longer opens every attachment to find an address or a date. They open the documents that failed a check. Then they decide whether the policy covers the water damage and how much to pay. The handwritten $18,400 on the notice is only an early estimate, and setting the reserve stays with the adjuster.

In this flow, Docsumo does the sort, read and check steps for insurance documents. It reads any document type, handwriting included, and documents come in by email, upload or the API. On the Business plan, it sorts files into the document types you name, with no training set, and splits merged claim packets. On the Enterprise plan, cross-document validation runs checks like the address and date checks above. Case management on that plan keeps a claim's documents in one case. Case Routing files a document that arrives later into the open claim by its claim number. Checked data goes to your claims system through the API and webhooks. Docsumo isn't a claims system, so it doesn't set reserves or pay claims.

Claims automation by line of business

Each line of business brings its own claim documents. The table shows the common ones and what a claims team checks them against.

Docsumo reads these ACORD loss notices and the other ACORD forms too. Health claim forms carry diagnosis and procedure codes and data that HIPAA protects. Our post on health insurance claim form extraction lists their fields.

Injury claims often bring long medical records. In Docsumo, a workflow step summarizes the medical records for the adjuster. Sometimes a document named in the claim is missing, such as a police report. Docsumo's Document Collection and Email agents email the sender to ask for it.

AI in claims processing

AI can already do much of the reading in claims. Optical character recognition (OCR) turns a scan into text, but it can't tell which number is the policy number. Large language models (LLMs) can, so they turn the text of a loss notice or an estimate into fields, whatever the layout. Other models sort documents by type, score claims to decide how each one is handled (triage) or review photos of the damage. Few of them decide a claim.

In 2022 and 2023, 10 state insurance departments surveyed 194 large home insurers for a working group of the National Association of Insurance Commissioners (NAIC). More companies used AI or machine learning in claims than in any other area the survey asked about. In claims, the share was 54%. The most common claims uses were triage and subrogation, at 44 companies each. Subrogation models find claims where the insurer may recover what it paid from whoever caused the loss. None of the companies used AI to approve or deny a claim on its own. Only 2 used a model to recommend the settlement amount. In the NAIC's earlier survey of auto insurers, 50 companies used a model to recommend settlement amounts.

Regulators expect insurers to oversee the AI they use. In December 2023, the NAIC adopted a model bulletin on insurers' use of AI systems. A state that adopts the bulletin expects each insurer to keep a written program for any AI that makes or supports the insurer's decisions. The program covers AI bought from vendors, too. The bulletin also says a claim decision must still meet the state's unfair claims settlement law, whatever method the insurer used to reach it.

We'd judge any AI in claims by what it shows the adjuster. It should treat every claim the same way, by thresholds and checks your team sets. When a document is held for review, the adjuster should see which check failed and the line on the page that the value came from. If the reason isn't on screen, the adjuster rereads the whole file, and the automation has saved nothing.

What to look for in claims automation software

Test any tool on your own claim files, messy scans included. These features decide how much work still reaches your team.

• Confidence scores per fieldEach value carries a score, and a person checks any value below the threshold you set. Judge the scores on your own claim documents, not vendor samples.
• Checks your team can changeA claims lead can edit the date, limit and amount checks without an engineer.
• Review with the source shownA reviewer sees each uncertain field next to the line it came from. See human-in-the-loop systems.
• API and webhooksChecked data goes into your claims system, with bots only where there's no API. See integrations.
• Audit trailEvery automated step and every correction is logged, so you can show how a value was read and checked.
• SecuritySOC 2 Type 2, plus HIPAA for health claims and GDPR for EU data. Docsumo's security page covers all three.

In Docsumo, you set a confidence threshold for each field, and clicking a field highlights the line it came from. Each correction a reviewer makes improves the model. Docsumo supplies the software, not a review team, so your own staff handle the exceptions. Its Business plan includes audit logging and a test environment.

How to roll out claims automation

1. Measure a baselinePick one claim type that arrives in volume, with many documents per claim. For a month, count the documents a person opened to read, fix or key. Plan the connection to your claims system early.
2. Pilot on real claimsRun real claims, faxes and phone photos included, through a test environment. Have adjusters help design the exception queue.
3. Widen the rolloutExpand by claim type or region. Let more documents pass without review only where the checked fields stay accurate.

Track two numbers from the start. One is the share of documents no person touches, which is your straight-through processing (STP) rate. The other is the time from a claim's first document to the adjuster's first decision. Our guide to straight-through processing explains how to count the first one.

Docsumo's own figures are below. A document counts as AI Approved when it passes every check and no one touches it.

• <5 min<5 minper document, down from 2+ hours
• 99%99%field-level accuracy across 250+ document types
• 95%+95%+of documents AI Approved, with no manual review

If your adjusters still open every attachment

If so, much of their time goes to looking for dates and amounts instead of deciding claims. Pick the claim type with the most attachments per claim, and bring a few closed claims of that type to a demo. Your team already knows what those claims needed, so the demo shows what the software would have read and flagged. Checks across a claim's documents are on the Enterprise plan.

Book a demo with a few closed claims, or start a free trial and run your own checks on those claims. The trial lasts 14 days and covers up to 1,000 pages.

Frequently asked questions