use case

Check Fraud Affidavit & Claims Processing

Challenge

Check fraud remains a major operational burden for banks: 63% of organizations report being impacted by check fraud, and physical checks are the most targeted payment method1.

When customers identify fraudulent check activity, they must initiate a fraud claim process which requires banks to collect and validate:

A signed customer affidavit
A notarized sworn statement
Transaction details for internal review
Supporting documents (e.g., voided check images, statements, ID, correspondence)

These submissions are unstructured, vary by case, and often include handwritten and scanned content. Strict reporting rules apply making accuracy and processing speed critical to avoid financial loss and denied claims.

Historically, analysts manually reviewed each file, validated signatures and notarization, compared claimant identity to account records, checked submission completeness, and keyed data into internal case systems.

This resulted in:

High staffing load for fraud ops teams
Delays in claims resolution and customer reimbursement
Potential compliance gaps and missed SLAs
Inconsistent documentation and validation quality
Overall dissatisfied customers

1 AFP 2025 Study: Payments Fraud and Controls Survey Study

With mobile deposit fraud and duplicate check schemes increasing, banks need a scalable, automated solution to validate customer affidavits, reduce fraud losses, and accelerate claims decisions.

Fisent BizAI Solution

BizAI enables the end-to-end automation of the affidavit-based check fraud intake and review process, including:

Ingest all customer materials

emails, PDFs, scanned forms, photos, check images

Validate affidavit completeness

correct form, required fields, dates, IDs

Verify notarization & signatures

confirm notary elements, match customer identity

Extract key case data

dates, amounts, check numbers, account IDs, claimant details

Fraud type classification

forged endorsement, altered check, counterfeit, mobile deposit, etc.

Ensure timeliness

flag if reported within required window

Package structured data

for fraud case investigators & core systems

Enable flags or exceptions routing

in enterprise workflow tool

Business Impact

Why It Matters

By freeing analysts from document triage, banks improve customer experience and strengthen fraud controls.

Check fraud claims are time-sensitive and resolution delays carry risk: funds recovery can take 90–120 days or more, and banks ultimately bear losses if claims are late or mishandled. Automating affidavit intake ensures:

— Faster detection and processing

— Standardized compliance checks

— Reducing fraud losses by improving claims coverage and adopting a robust claims process

— Better customer trust during stressful fraud events

BizAI Actions Used

Analyze: Identify fraud type, flag risk or missing elements, summarize overall claim for instant analysis

Verify: Check affidavit completeness, match customer information, notarization validation

Extract: Extract key data elements (structured or unstructured) required for process initiation and automation

Structure: Convert all inputs into structured data mapped to the specific case data model enabling downstream automation

Summary

BizAI transforms check-fraud claim processing by enabling the full automation of affidavit review, notarization verification, document extraction, and case initiation — ensuring accuracy, compliance, and rapid customer reimbursement while reducing fraud exposure – at scale.

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