Insurance Automation
Insurance Loss Runs, Parsed
Parse carrier loss run reports, extract claim-level data, normalize status fields, surface trends, and produce underwriting-ready summaries from messy insurance documents.
What is loss run processing?
Loss run processing parses carrier loss run reports, extracts individual claims data, and normalizes it across carriers so underwriters can assess risk without manual data entry. A loss run is a report from an insurance carrier listing all claims filed against a policy — including dates of loss, amounts paid, reserves, and open or closed status — used by underwriters to evaluate risk during renewals and new submissions. Extracting this claims history (the complete record of past losses for a given policyholder) from inconsistent carrier formats is one of the most time-consuming steps in the underwriting workflow. Automation turns days of manual keying into structured, auditable output that flows directly into underwriting analysis.
Loss Run Automation Workflow
From carrier loss run to structured claim history
Capture carrier reports
Drop in loss run reports from carriers, brokers, and insureds. Fluxity handles PDFs, spreadsheets, scans, and multi-page reports without asking teams to rebuild templates.
Parse carrier-specific layouts
AI identifies the carrier's layout and turns inconsistent columns, labels, claim groupings, and summary blocks into normalized structured data.
Extract claim-level fields
Pull claim numbers, dates of loss, claimant details, coverage types, paid amounts, reserves, incurred totals, and open or closed status codes automatically.
Create underwriting-ready outputs
Export standardized loss run summaries for renewals, underwriting submissions, and internal review. Each field keeps traceability back to the source document.
100%
Extracted fields tied back to source documents
3
Common input types handled: PDF, scan, spreadsheet
0
Carrier templates required before first review
Beyond Extraction
Claims review tools after extraction
Trend Analysis
Spot patterns across your loss history — rising frequency, increasing severity, emerging risk categories. Surface insights that manual review would miss.
Anomaly Detection
Automatically flag outlier claims — unusual amounts, suspicious patterns, or claims that deviate from historical norms. Surface red flags for underwriting review.
Common Questions
Fluxity processes loss runs from varied carrier formats, including PDFs, spreadsheets, scans, and multi-page reports. The extraction workflow adapts to carrier-specific layouts without a manual template build.
Fluxity validates extracted claim fields against expected formats, totals, dates, statuses, and numeric ranges. Confidence scoring helps reviewers focus on fields that need human attention.
Yes. Fluxity can export standardized loss run summaries to Excel or JSON with configurable layouts for renewals, underwriting submissions, and internal analysis.
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Stop parsing manually.
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