AI how-to guides Operations and processes
How to triage insurance claims with AI
Let AI read everything that arrives with a claim, extract the key data with its source, score severity and complexity, pre-check it against the policy and route it to fast track, standard handling or an experienced adjuster. The handler opens a claim that is already summarised and flagged, with the reasons visible. Decisions on cover and payment stay with people.
What AI does
- Reads the first notice of loss and its attachments, whatever the channel: forms, emails, PDFs, photos and call transcripts.
- Extracts policy number, dates, parties, amounts and damage description into structured fields, linked to the document they came from.
- Scores severity and complexity and proposes a route, saying which signals drove it.
- Pre-checks the claim against the policy in force and flags possible coverage gaps.
- Flags early signs of leakage, such as duplicate invoices or estimates outside the expected range, and writes a one-page summary for the handler.
What stays with people
- Deciding cover, liability, reserves and payment.
- Handling complex, sensitive or disputed claims, especially those involving injury.
- Reviewing flags before any action against a customer.
- Setting the routing rules and the thresholds for fast track.
How to put it in place
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Map intake and today's routing
List the channels claims arrive through, the document types, the current routing rules and where time is really spent. Take a sample of recent claims with the route each should have taken.
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Agree the taxonomy and routing model
Define the claim types, the severity and complexity levels and the queue each combination goes to. Write down which cases can be fast tracked and which always need an experienced adjuster.
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Connect intake, claims and policy systems
Give the triage layer access to the intake channels, the claims system and the policy administration system, with minimum permissions. Make sure every extracted field keeps a link to its source document.
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Run in parallel with the current process
Let the AI classify and route in shadow while handlers work as usual. Compare its routes with theirs, review the disagreements with experienced adjusters and tune until the results hold on live volume.
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Switch on by line of business
Activate triage for the line of business that performed best, keep a clear exception path for low-confidence cases and monitor cycle time, reassignments and complaints. Extend to other lines and document types once it is stable.
What you need
- Access to intake channels and to the claims and policy administration systems.
- A sample of historical claims with their documents and the handling they received.
- An agreed claim taxonomy and routing rules.
- Experienced adjusters to review disagreements and own the exception path.
- Compliance and data protection involvement, since claims often carry health and personal data.
When it is not worth it
- Low claim volumes where handlers already route on the same day.
- Lines of business where nearly every claim needs an expert assessment from the start.
- When the claims system cannot be integrated and routing would stay manual anyway.
Risks and how to control them
- Misrouting a serious claim to fast track: set conservative thresholds, route low-confidence cases to people and audit fast-track samples regularly.
- Unfair treatment of customers: test outcomes across customer groups, keep reasons visible and let people review flags before acting. EIOPA expects fairness, explainability and human oversight in insurers' use of AI.
- Health and personal data: limit access, minimise what is stored and log who saw what.
- Regulatory scope: risk assessment and pricing in life and health insurance are high-risk under the AI Act; triage is not listed as such, but check with your compliance team if the system influences decisions on cover or payment.
How Thinkia does it
We start by mapping channels, document types, current routing rules and the real cycle time. We then define the taxonomy, the routing model, the coverage checks and the escalation rules, integrate with the claims system and run in parallel with the current process, tuning on live volume.
The triage layer runs on Synapse: multi-channel intake, document extraction with field-level provenance, severity and complexity scoring that says which signal drove it, coverage pre-check, early leakage flags and a handler summary. Every routing decision keeps a trail back to the document that caused it, and rollout goes line of business by line of business.
The Thinkia solution behind this guide
- AI claims triageFrom first notice to the right desk, on day one.
- AI claims fraud detectionThe single claim looks fine. The pattern does not.
- AI document intelligenceTurn unstructured documents into structured decisions.
Thinkia products involved
Frequently asked questions
What is claims triage?
It is sorting incoming claims by what they need: fast track for simple ones, standard handling for most, and an experienced adjuster for complex or sensitive cases. Doing it at intake stops simple claims from queuing behind difficult ones.
Can AI decide whether a claim is covered?
It can pre-check the claim against the policy and flag possible gaps, but the decision on cover, liability and payment should stay with a handler who can see the evidence and the reasons.
Does it work with photos and scanned documents?
Yes. Current models can read scanned forms, invoices and reports and describe images, and each extracted value should link back to the page or image it came from.
Is claims triage high risk under the AI Act?
The AI Act lists risk assessment and pricing for life and health insurance as high-risk. Triage that only routes work is not listed, but if it shapes decisions on cover or payment, review it with your compliance team. This is not legal advice.
Where should we start?
With one line of business that has high volume and clear routing rules. Run it in parallel with handlers, compare, and switch on when the routes match.
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