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 an entirely new approach and technology compared to traditional image usability testing or manual review processes.
Anywhere Validate applies enriched recognition technologies to the payer, date and amount fields, while expanding traditional features like IQA, Amount Verification, signature presence and restrictive endorsement classification. From these recognition field results, 15+ 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. 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 are summarized below:
Multi-Channel, Real-time Image Validation for Financial Workflows
Multi-Channel, Real-time Image Validation for Self-Service
|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|
|Payor||Check Out of State||Identify payors from outside of state which may pose risk, international items, feed downstream data analysis|
|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|
|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|
|Restrictive Endorsement||Endorsement Classification||Classifies the type endorsement based on verbiage|
|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||Deposit Out of State||Identified via the state of the deposit, risk mitigation of suspect customers, KYC|
|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|
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