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Anywhere Validate

Validate payment negotiability of paper-originated items to streamline deposit review and mitigate risk. 

Anywhere Validate

Anywhere Validate automatically validates the negotiability of paper-originated items for any self-service, centralized or distributed capture channel or image exchange trading partner within the omnichannel of a financial institution. Designed to minimize the risk of checks and cash equivalent images from being non-negotiable, the system is a more comprehensive approach compared to traditional image usability testing or manual review processes.

Anywhere Validate applies both OrbNet AI and multi-engine recognition technologies to the amount, payer, and date fields, while expanding traditional features like IQA, Amount Verification, signature presence and restrictive endorsement classification.

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From these recognition field results, 20 validation tests are then activated to protect all potential parties within the payment stream including: bank of first deposit (BOFD), paying bank, retail customer, corporate client. Note:  See how Payor and Payee field validations work under Anywhere Payee.

Each validation test, activated in either real-time or batch, creates a score which complement the overall analysis approach from big data/analytics/capture/fraud systems, streamlining traditional deposit review functions. The results of each score are controlled by the Owhere App and be viewed via the Owhere Examiner.

Current Tests Performed by Anywhere Validate:

 Field/Type    Name Use Cases and Tangible Achievements
 Payor Account Name Validation Free read, verify fields, kiting, risk per channel, feed downstream data analysis, marketing campaigns targeting payors from transit banks
 Payor Negative List Identify payors/makers from predetermined lists, i.e. black list, closed accounts, fraud, other
 Payor Suspicious Flag payors which could indicate fraud or problematic accounts due to incomplete data
 Depositor Check Out of State Identify payors from outside of state which may pose risk, international items, feed downstream data analysis
 Payor Deposit Out of State Flag if the state of the account holder address is different from the state of the deposit address, risk indicator, risk mitigation of suspect customers, KYC
 Amount High Dollar Detection Risk management for manual review, internal controls, SAR, can use index from balanced file
 Amount Verification (CAR, LAR, Index compare) UDAAP & Reg CC risk mitigation, minimize customer errors, limit cash letter errors, reduce adjustments
 Amount Discrepancy (CAR vs. LAR) Identify customer errors, limit operational errors, ensure LAR precedence
 Amount Not to Exceed Flag if amount exceeds the allowed amount
 Document Image Quality Assurance (IQA) Apply FED, FTSC or unique parameters to images to minimize non-compliant images (NCI) and quality issues
 Signature Presence Detection Reg CC, UCC and ECCHO rule compliance to confirm signature is on image
 Endorsement Presence Detection Identifies that a signature is present on image
 MICR Image Integrity Compares the MICR line via recognition to the index/metadata values to identify incorrect images associated with MICR
 Endorsement Virtual Endorsement Filtering Selective abilities to filter virtual endorsement out to identify if originating endorsement was present
 Document Illegal Document Identification Identifies RCC/PAD items per ECCHO rules, validates approved document types as defined in bank customer relationships on a workflow level, i.e. RDC, ATM
 Date Stale and Post Date Risk and fraud related topic, UCC related topic, date ranges are flexible per workflow
 Transaction Account Negative List Flag if the payer account (MICR) on the check matches information in a negative account list
 Transaction New Account Identification Identified via application API, fraud and risk control, funds availability considerations, manual review queues
 Transaction Short Term Duplicate Flags immediate duplicates where customer or application submits images more than once
 Transaction Cash Equivalent Detects items considered same day or day 1 funds availability, See Anywhere Compliance for more details.

Amount Verification, previously known in the industry as amount encode verification (AEV), and CAR/LAR Discrepancy, now deliver 99%+ coverage of items with the utilization of OrbNet AI. Incorrect amounts can range from 10-50 per 100K items.

Contact OrboGraph for to perform an analysis on the number of incorrect amounts that exist in your inclearing items!

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