Claims is where the carrier makes its reputation and spends most of its loss adjustment expense. Every additional handoff between systems, every document an adjuster has to hunt for, every fraud signal missed at first notice, and every slow catastrophe response shows up in cycle time, LAE, customer NPS, and ultimately the combined ratio.

The Mercury Policy and Claims Administration System from Quick Silver Systems, Inc. was built around the claims workflow - FNOL intake, document imaging with NLP extraction, AI-powered document fraud detection with a one-to-one-hundred rating scale, single-click catastrophe classification, reserves and payments, diary management, and integrated HIPAA-aligned security. Below are the Mercury insurance claims features that matter most to VPs of claims, claim managers, SIU leaders, and adjusters.

FNOL
Multi-channel intake, auto-assignment, SLA tracking
1‑100
AI document fraud detection scoring
One‑click
Catastrophe classification & CAT response
HIPAA
Aligned security for bodily-injury & medical data
01
PhoneWebMobileAgent👤FNOLIntakeTriageAssignAdjSLA2h
Feature 01

First Notice of Loss (FNOL) Intake and Assignment

Mercury's first notice of loss workflow captures claim reports from the policyholder portal, agent portal, 24/7 intake center, or inbound API. The claim is validated against the policy in force at date of loss, assigned to an adjuster based on routing rules, and initial reserves are set from configurable templates - all before the first human touch.

For a claims leader, a clean FNOL is the entire first hour of the claim. When the right adjuster gets the right claim with the right coverage confirmed and the right initial reserves already posted, cycle time drops and customer experience jumps. Mercury FNOL turns the riskiest moment in a claim into the most controlled one.

Feature 02

Document Imaging with Natural Language Processing Extraction

Mercury's insurance document imaging system stores every policy document, claim attachment, medical record, police report, vendor estimate, photo, and email against the claim file. Built-in natural language processing reads unstructured attachments, extracts key fields, and turns document piles into structured claim data the adjuster can query.

Adjusters routinely spend 30 to 40 percent of their day reading documents. Mercury document imaging with NLP extraction gives that time back. Adjusters open a claim file and see the extracted facts - parties, dates, amounts, injury codes - without having to scroll through 200 pages of attachments first.

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Police report.pdfReport #PR-88102Date 2026-04-14Location Main St.Vehicle VIN 1HGCM...Driver J. ChenInjuries NoneDamage $4,200NLP extract → claim fieldsreport_id: PR-88102incident_dt: 2026-04-14vin: 1HGCM82633A...driver: J. Cheninjury: falseest_damage: $4,200No rekey. Structured data on day one.
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AI Document Fraud Score1 (clean)100 (high risk)loss_run.pdf18passreceipt.jpg52reviewestimate.pdf87SIU
Feature 03

AI-Powered Document Fraud Detection with 1-100 Scoring

Mercury includes AI-powered document fraud detection that analyzes every incoming document and assigns a one-to-one-hundred risk rating with explainable features - font inconsistencies, metadata anomalies, duplicate submissions, and edit history red flags. High-score documents are surfaced to the adjuster and the SIU queue automatically.

Fraud costs the P&C industry tens of billions of dollars a year, and most of it enters through documents at FNOL. Mercury catches suspicious documents before an indemnity payment is issued, which directly reduces leakage, tightens LAE, and frees the SIU team to focus on the claims where the fraud signal is real.

Feature 04

Single-Click Catastrophe Classification and CAT Response

Mercury supports single-click catastrophe claim classification so an entire batch of hurricane, wildfire, hail, or flood claims can be tagged, routed to CAT adjusters, and reported to reinsurance with one action. Catastrophe reserves, reporting codes, and communication templates switch over as a group.

When a named storm lands, the last thing a claims VP wants to do is reclassify claims one at a time. Mercury's CAT tooling gets the carrier into response mode in minutes, gives reinsurers accurate loss data the same day, and lets executive leadership brief the board with defensible numbers instead of rough estimates.

04
Storm footprint · Hurricane IdaClassify 2,412 claims as CATone click · code CAT-2026-042Mobilize reinsurance & reporting immediately
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Claim #C-10881Reserve$18.5kBI + PDPaid$14.2kto dateLAE$1.8kexpenseIntegrated ledgerDr Loss expense $14,200 Cr Claim payable $14,200Posts automatically on payment release
Feature 05

Reserves, Payments, and Integrated Claim Accounting

Mercury handles claim reserves, payments, recovery, subrogation, and reinsurance recoverable against the same accounting-based ledger that drives policy administration. Every reserve change, every payment, every deductible recovery posts with a full audit trail tied back to the adjuster, the authority level, and the supporting documents.

Claims accounting has historically been a reconciliation nightmare. Mercury eliminates the mismatch between the claims system and the general ledger because they are the same system. Claims managers approve payments with confidence, and finance closes the books without chasing claim transactions across spreadsheets.

Feature 06

HIPAA-Aligned Security and Role-Based Access for Sensitive Claim Data

Mercury operates with HIPAA-aligned controls and granular role-based access so medical records, driver PII, and sensitive bodily-injury documentation are only visible to the specific users who need them. Claim data is encrypted in transit and at rest, and every access event is logged.

For a claims department handling bodily injury, workers compensation, or any claim touching medical records, data governance is not optional. Mercury gives claim leaders a security posture designed for insurance data from day one, which reduces breach risk, regulatory exposure, and the hard-to-quantify reputational cost of mishandled sensitive information.

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HIPAA-alignedMedical · PII · Role-based access
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