Use cases

P&C input trust first.
Platform expansion second.

Mighty screens submitted files, photos, PDFs, OCR output, and extracted text before they influence adjusters, SIU review, document extraction, AI tools, or automated claims workflows.

1

Receive

Submitted PDFs, photos, invoices, OCR output, or extracted text.

2

Screen

Mighty checks structure, image signals, and text risk before reliance.

3

Route

Return allow, review, or block to the workflow that already owns the case.

Clean
Continue
Suspicious
Review
Use case explorer

Start where bad inputs can steer work.

Choose a workflow. The panel shows the incoming material, the harm, what Mighty checks, and where the result should route.

First wedge
P&C claims
Result
Allow / review / block
P&C claims

Claim support before adjuster review

Likely owner: Claims operations, SIU, claims technology

Inputs

Claim forms, supporting PDFs, notes, police reports, and uploaded evidence.

Harm

Submitted material can contain hidden instructions, suspicious text layers, or inconsistent context that steers the claim file before review.

Mighty checks
Document structure
Text layer
Extracted content
Route

Allow clean packets into OCR or hold suspicious packets for claims/SIU review.

Expansion path

Keep the wedge tight. Reuse the control point.

Lead with P&C insurance. When the same risk appears elsewhere, the pattern stays simple: check untrusted customer material before a workflow treats it as truth.

First wedge
P&C claims intake, evidence, OCR output, and adjuster workflows.

Logistics

Bills of lading, proof-of-delivery photos, customs documents, invoices, and exception evidence.

Construction

Change orders, site photos, subcontractor invoices, inspection documents, and payment support.

Financial services

KYC uploads, statements, onboarding forms, invoices, and back-office review packets.

Enterprise AI / OCR

Support attachments, uploaded PDFs, OCR output, agent context, and tool-input pipelines.

Evaluation lens

What teams test before rollout.

The claim stays practical: prove the control point on real examples, then decide whether the route decisions are useful enough for a production workflow.

01Speed

Fast enough for intake

Can Mighty return a workflow action before the next system consumes the input?

02Accuracy

Measured against reviewers

Do allow, review, and block outcomes line up with your examples and reviewer feedback?

03Coverage

Files, images, and text

Can the same control point inspect PDFs, photos, OCR output, and extracted content?

01
Pick one flow
02
POST /v1/scan
03
Route the action
Start narrow

Test one customer-file flow first.

Put Mighty before the moment a person, AI tool, OCR pipeline, or automation relies on submitted material. Measure the allow, review, and block decisions against real examples.