Insurance claims automationfrom intake to payout.
Claims arrive as mixed bundles: forms, invoices, photos, policy documents. MiruIQ sorts them, extracts what matters, checks the story across documents and hands your claims system data it can act on.
Classify mixed claim bundles on arrival, extract structured data from every document and surface missing or contradictory information before an adjuster opens the file.
Every claim starts with a sorting job.
Before anyone can decide a claim, someone has to open the bundle, recognize each document, extract the relevant fields and notice what is missing. Done by hand, that is the slowest and most error-prone step of the whole process.
The backlog this creates is not just a cost: it is payout delay your customers feel. And manual sorting hides the expensive errors, like a claimed amount that contradicts the attached invoice, until late in the process.
Claims intake, automated honestly.
Straight-through where checks pass, human review where they do not.
1. Ingest
Claim bundles arrive by email, portal upload, S3 or API, in whatever mix the claimant sends.
2. Classify
Each document is recognized against your claim document types: form, invoice, medical report, policy, photo.
3. Extract
Every document type gets its own schema: claim numbers, dates, amounts, diagnoses, line items from complex invoice tables.
4. Verify
Cross-document checks compare names, dates and amounts across the bundle; gaps and contradictions park the claim for review.
5. Deliver
Claim-ready structured data lands in your claims system, with the audit trail attached.
What changes for claims ops.
Faster handling
Intake stops being a queue of unopened bundles; adjusters start from structured data.
No manual sorting
Classification replaces the person who opened every envelope and named every file.
Earlier detection
Missing documents and contradictions surface at intake, not after an adjuster has invested an hour.
Numbers to hold the system to.
Measured across all claims, not the clean ones.
Straight-through rate
Share of claims that reach the adjuster with complete, consistent data and no human touch.
Exception rate
Share of claims parked for review, and why: missing document, failed check, low confidence.
Cycle time
Intake to claim-ready data, the delay your customer actually experiences.
Claims automation questions
What insurers evaluating claims automation ask most.
A pipeline classifies each incoming document against your claim document types, extracts structured data with a schema per type, verifies consistency across the bundle and delivers claim-ready data to your claims system. Claims that pass every check go straight through; the rest park in a review queue with the reason attached.
Yes, and that is where fraud reliably shows: cross-document validation compares names, dates and amounts across the bundle and recalculates figures that must add up. A repair invoice that contradicts the claimed amount, or a missing police report, surfaces at intake with field-level detail.
Yes. MiruIQ deploys on-premise with local AI models, in Swiss hosting, or in the cloud: medical reports and policy documents never have to leave your environment. Deployment is a configuration choice, not an enterprise negotiation.
See it on your own documents.
The 14-day free trial covers 200 documents: enough to define your schemas, run real files and measure the results before anyone calls you.