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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Our comprehensive Image Processing Solution seamlessly integrates item POD and image capture along with Report Retrieval, Signature Card Verification, Aurora Document Imaging, and Electronic Merchant Deposits. Each component works together harmoniously, empowering users to access and view any image or transaction effortlessly. The system is designed to be intuitive, allowing for easy expansion with new features and enhancements. We aim to transform every bank employee into an effective Customer Service Representative with this system. Data is available immediately upon capture and balancing, enabling employees to investigate transactions that occurred just moments before, even prior to their transfer to the core system. This capability addresses customer inquiries such as whether a loan payment has been processed, if a deposit was received that day, or which specific checks accompanied a deposit. Any of these questions can be swiftly resolved with a simple click. Our software's features provide a significant competitive edge, including customizable reports that allow for the tracking of competitor checks flowing through your bank. Additionally, having real-time access to transaction details fosters a more responsive customer service environment.

Description

SQN Banking Systems provides a robust solution for banks to combat the increasing threat of check fraud through its SENTRY: FraudSuite™ platform. This all-in-one fraud prevention system employs machine learning and AI technology to thoroughly analyze check images, customer profiles, and transaction history. The platform excels at detecting altered checks by identifying changes in payee names, amounts, and dates, as well as counterfeit checks through security feature analysis. Signature verification compares new signatures with previously verified ones to catch forgeries, while handwriting variance detection spots suspicious alterations. SENTRY: FraudSuite™ also blocks duplicate check deposits and detects check kiting by analyzing account behavior and deposit patterns. Additionally, it flags fraudulent activity involving checks from closed or empty accounts. SQN Banking Systems equips financial institutions with educational materials and case studies to showcase how their platform can effectively reduce fraud losses. The solution streamlines fraud detection, helping banks protect assets and maintain trust.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Computer Service Professionals

Website

auroradigitalbanking.com/community-banking-software-solutions/image-processing/

Vendor Details

Company Name

SQN Banking Systems

Website

sqnbankingsystems.com/check-fraud-protection/

Product Features

Banking

ATM Management
Compliance Tracking
Corporate Banking
Credit Card Management
Credit Union
Investment Banking
Multi-Branch
Online Banking
Private Banking
Retail Banking
Risk Management
Securities Management
Transaction Monitoring

Product Features

Banking

ATM Management
Compliance Tracking
Corporate Banking
Credit Card Management
Credit Union
Investment Banking
Multi-Branch
Online Banking
Private Banking
Retail Banking
Risk Management
Securities Management
Transaction Monitoring

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