Use cases
Every workflow runs on untrusted documents.
Wherever a customer file becomes a decision, AI-altered content can slip through. The pattern is the same in every line of business: a file arrives, a system trusts it, money moves. Mighty screens it first.
01Where it funds or pays
The same file, two outcomes. One verdict decides which.
Two doors lead in. Each puts Mighty at the moment before the money moves. For every file a customer submits, you see what AI can change and the call your workflow acts on.
For Lending & Underwriting
Income and asset docs, before you fund
Altered figures clear manual review, then surface as misrepresentation and repurchase demands. Loans with an altered document default about 18% more often.
The check runs before the money moves
Year-to-date and gross-pay fields edited to clear a debt-to-income ratio.
Wages and withholding altered so the numbers no longer reconcile.
Balances and deposits inflated to manufacture reserves and a down payment.
For Insurance & Claims
Photos, estimates, and FNOL docs, before you pay
Touchless claims pay what they read. A third of detected P&C fraud is already a tampered document, and AI fabricates the rest on demand.
Screened at first notice of loss, before the payout
Damage added or erased to match the loss being claimed.
Line items and totals altered to inflate the indemnity payout.
Fabricated charges and edited amounts pad the bill.
02Inside the automation
The same risk rides inside the AI layer.
Reading a file and summarizing it feel like neutral plumbing. They are the exact point where a hidden instruction or a tampered source gets carried forward as trusted output.
Hidden instructions planted in the file ride along in that text and steer the AI that reads it next.
A clean-looking summary carries a tampered source forward as if it were trusted.
03Expansion
The same control point travels.
Logistics
Bills of lading and proof-of-delivery photos before goods release.
Construction
Change orders and site photos before progress draws fund.
Financial services
KYC uploads and statements before an account opens.
Enterprise AI
Support attachments and agent context before automation acts.
The anti-fraud signal
See what your intake is already missing.
Bring a sample of your real documents. We'll show you the edits and fakes your reviewers and automation can't see, before they reach a decision.