Insurance · Jewelry to property

They treat the file as true. That's how it binds, or pays.

Bind and pay treat the attachment as true. Reviewers were not built for a file that looks perfect. Citadel is Mighty's product. It checks the appraisal, the photo, and the estimate first.

Why Mighty
  • Appraisals
  • Receipts
  • Photos
  • Estimates
An insurance packet: an application, a photo, and an invoice, with one file flagged before bind or payout.
REVIEWflagged before bind

01Two moments

Same check. Two places the file becomes money.

Bind

Appraisal, receipt

Pay

Photo, estimate, invoice

  1. 01

    Bind

    Application and attachments, before the policy is live

  2. 02

    Pay

    Photo, estimate, and invoice, before the claim pays

  3. 03

    Allow, review, or block

    A verdict you can keep on the file itself

Jewelry

REVIEW

Jewelry appraisal

Value, name, or weight edited so the piece qualifies

BLOCK

Sales receipt

Amounts or dates altered on the receipt that supports the policy

Exhibit A

Property claims

REVIEW

Damage photo

Damage added or erased

BLOCK

Repair estimate

Line items and totals altered

BLOCK

Vendor invoice

Fabricated charges

Exhibit B

See the claims walkthrough

Receive, verify, route

01Receive

Any document, photo, or page of text. One scan before your workflow acts.

02Verify
  • Document math
  • Pixel & layout tampering
  • Cross-document consistency
  • Hidden instructions

Citadel inspects the pixels, the layout, and the text.

03Route
ALLOWclears straight through
REVIEWrouted to a reviewer
BLOCKstopped with the evidence

A verdict you can keep, before funding or payout.

02The file is treated as true

~10%of property claims are fraudulent.

Source: Deloitte Center for Financial Services 2025

Citadel does not say whether a claim is true.

It flags a generated or edited file, and hidden instructions inside that file. Your underwriters, adjusters, and SIU decide what happens next.

03The stakes

Check the file before anyone binds or pays.

of property claims are fraudulent
~10%

Deloitte 2025

yearly property-claim fraud losses
$122B

Deloitte 2025

human accuracy on AI-generated images
~50%

56-study meta-analysis

YoY rise in digital document forgery
244%

Entrust 2025

Sources: Deloitte Center for Financial Services 2025 · Entrust Identity Fraud Report 2025 · Diel et al., deepfake detection meta-analysis, 2024.

On your files

See what your intake is already missing.

Bring a sample from live intake. We'll walk the edits and fakes your reviewers and automation miss, before they reach a decision.