Advanced Smart Doc Solutions Transforming FinTech Industry

123456789101112131415161718/ 18100%实际尺寸适合宽度适合高度适合页面自动介绍杂志连续的

Intelligent Document Processing in Financial Services USE CASES

Expedite onboarding, KYC, trade finance, and more with ready-to-use AI document processing skills that are pre-trained for the highest accuracy Delivering artificial intelligence (AI) based solutions is not new for ABBYY. We have 30 years of experience processing tens of billions of pages for customers globally, addressing the real-world challenges of our customers with technology. Our AI and machine learning technologies are highly optimized—for documents, for text, for language, for extraction, for precision, and for consistency. In 2019, ABBYY introduced the industry’s first low-code / no-code intelligent document processing platform to make this technology available in a cloud-based, point-and-click approach to empower citizen developers to easily incorporate IDP into their highly manual or repetitive document-centric processes. ABBYY Vantage provides pre-trained document processing skills in an online marketplace that are ready to use within minutes. Using ABBYY pre-trained document skills, customers are able to start production tomorrow and achieve the highest level out-of-the-box accuracy without the need for OCR and machine learning expertise. Structured Data Unstructured Documents IDP The data inside financial documents represent a wealth of information…but you can only capitalize on that data when it is visible, accessible, and able to inform action. Legacy approaches to document processing involve only basic optical character recognition (OCR) , data extraction, validation, and rules-based processing. Intelligent document processing holds much greater potential to improve cost and productivity efficiencies by employing modern, AI-based document processing “skills” to make the revenue- generating information that’s trapped within business documents immediately accessible and actionable. Intelligent document processing (IDP) 2

This ebook shares some examples of how banks and financial institutions are using ABBYY IDP to discover new ways to increase process efficiency, ensure regulatory compliance, and keep operational costs down, while delivering the exceptional experiences that today’s customers and businesses demand. ONLY ABBYY: 30 years using AI to process tens of billions of pages for customers globally Named #1 in IDP by 10 analyst firms Automates up to 95% of documents 99% accuracy Pre-trained document skills to get started today 3

Brokerage statements Lending documents Onboarding documents Invoices Identity documents Utility Bill Bank Statement Federal Tax Return 1040 Pay stub W-1, W-2, W-8, W-9 1040, 1040-SR, 1040-RS 1099, 1099-B, 1099-DIV, 1099-G, 1099-INT 1095-B, 1095-C Form 8949 IRS 2290 Contract Internal report Disbursement notice Correspondence Agreement Due Notice Amortization schedule Tax returns Credit bureau report Escrow account disclosure statement Mortgage application Credit card application Truth in lending statement TILA disclosure Property appraisal Property insurance Corporate articles of incorporation Corporate resolution Corporate bylaws Corporate ownership structure Many more Mortgage & loan lending Treasury & debt instruments Cards & payments Identity proofing KYC/AML Trade finance Fraud prevention Account services Chargeback representment Insider trading compliance Customer onboarding Wealth management Saves $2 million per year and mitigates regulatory risk for investor onboarding — Fortune 100 financial services firm 14,000 loan applications processed per day, 30X faster than before — SBA Paycheck Protection Program Identifies 550k hours of rework in the mortgage process and reduces cycle time by >6 days — Global bank and financial services firm I ntelligent Document Processing Use Cases in Financial Services The world’s leading financial institutions trust ABBYY. Pre-trained document skills with 90% accuracy out of the box 4

USE CASE: CONSUMER LENDING saved in manual review of loan package documents. ROI in 1.5 years . $508k OCR, classification, and extraction of all loan documents as the point of entry Expedite processing of any category of loan—past due, substandard, restructured, and bad loans Natural language processing provides highest level of entity extraction, especially from unstructured documents like real estate contracts, lease agreements, and titles Automate loan application and approval to improve customer experience 5

USE CASE: WEALTH MANAGEMENT Increase straight-through processing of complex insurance and financial documents to improve cost efficiency Utilize the wide selection of pre-trained IDP skills available, including brokerage statements, ACORD forms, and invoices Eliminate repetitive manual processes involved in processing documents to conserve internal resources Implement a single solution that’s scalable for multiple IDP use cases across the business ABBYY custom-created a Brokerage Statement Skill to meet the financial services provider’s precise document processing needs. 6

USE CASE: CHARGEBACK REPRESENTMENT Defend valid transactions and recover revenue Improve process visibility and increase straight- through processing Reduce complexity and errors to expedite case resolution Increase representment win rate and free knowledge workers from repetitive document processing tasks Automating the classification and capture of critical data contained in representment documents eliminates most manual review and reduces time to resolution by 80 percent . 80% 7

USE CASE: CUSTOMER ONBOARDING Deliver a seamless customer experience for mobile onboarding Automate document intake processes, including proof of identity, verification, and validation Reduce customer friction with web-based document capture via mobile device Seamlessly connect to back-end processing solution ABBYY is trusted by the top 4 US banks and 14 of the top 20 global banks . 8

USE CASE: KYC (KNOW YOUR CUSTOMER) Identify and remediate KYC vulnerabilities Automate document intake processes to ensure compliance with anti-money laundering (AML) legislation and customer due diligence (CDD) requirements Identify content types and patterns of interaction with customers and employees to flag suspicious activity Unify channel management for phone, email, chat, web portal, mobile, file transfer, scans, and more Multinational investment bank and financial services firm uses ABBYY IDP to capture, process, and analyze data accuracy, while monitoring regulatory declarations and coordinating with their existing KYC systems 9

French investment bank processes 10 million+ pages, 400 different document types, with single solution 10 million+ USE CASE: INVESTMENT BANKING Manage finance, investment, and guarantee documents with a single solution Automate processing of hundreds of semi or unstructured document types Classify document types for indexing in document management system Easily retrieve documents from network shares 10

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123456789101112131415161718/ 18100%实际尺寸适合宽度适合高度适合页面自动介绍杂志连续的

Intelligent Document Processing in Financial Services USE CASES

Expedite onboarding, KYC, trade finance, and more with ready-to-use AI document processing skills that are pre-trained for the highest accuracy Delivering artificial intelligence (AI) based solutions is not new for ABBYY. We have 30 years of experience processing tens of billions of pages for customers globally, addressing the real-world challenges of our customers with technology. Our AI and machine learning technologies are highly optimized—for documents, for text, for language, for extraction, for precision, and for consistency. In 2019, ABBYY introduced the industry’s first low-code / no-code intelligent document processing platform to make this technology available in a cloud-based, point-and-click approach to empower citizen developers to easily incorporate IDP into their highly manual or repetitive document-centric processes. ABBYY Vantage provides pre-trained document processing skills in an online marketplace that are ready to use within minutes. Using ABBYY pre-trained document skills, customers are able to start production tomorrow and achieve the highest level out-of-the-box accuracy without the need for OCR and machine learning expertise. Structured Data Unstructured Documents IDP The data inside financial documents represent a wealth of information…but you can only capitalize on that data when it is visible, accessible, and able to inform action. Legacy approaches to document processing involve only basic optical character recognition (OCR) , data extraction, validation, and rules-based processing. Intelligent document processing holds much greater potential to improve cost and productivity efficiencies by employing modern, AI-based document processing “skills” to make the revenue- generating information that’s trapped within business documents immediately accessible and actionable. Intelligent document processing (IDP) 2

This ebook shares some examples of how banks and financial institutions are using ABBYY IDP to discover new ways to increase process efficiency, ensure regulatory compliance, and keep operational costs down, while delivering the exceptional experiences that today’s customers and businesses demand. ONLY ABBYY: 30 years using AI to process tens of billions of pages for customers globally Named #1 in IDP by 10 analyst firms Automates up to 95% of documents 99% accuracy Pre-trained document skills to get started today 3

Brokerage statements Lending documents Onboarding documents Invoices Identity documents Utility Bill Bank Statement Federal Tax Return 1040 Pay stub W-1, W-2, W-8, W-9 1040, 1040-SR, 1040-RS 1099, 1099-B, 1099-DIV, 1099-G, 1099-INT 1095-B, 1095-C Form 8949 IRS 2290 Contract Internal report Disbursement notice Correspondence Agreement Due Notice Amortization schedule Tax returns Credit bureau report Escrow account disclosure statement Mortgage application Credit card application Truth in lending statement TILA disclosure Property appraisal Property insurance Corporate articles of incorporation Corporate resolution Corporate bylaws Corporate ownership structure Many more Mortgage & loan lending Treasury & debt instruments Cards & payments Identity proofing KYC/AML Trade finance Fraud prevention Account services Chargeback representment Insider trading compliance Customer onboarding Wealth management Saves $2 million per year and mitigates regulatory risk for investor onboarding — Fortune 100 financial services firm 14,000 loan applications processed per day, 30X faster than before — SBA Paycheck Protection Program Identifies 550k hours of rework in the mortgage process and reduces cycle time by >6 days — Global bank and financial services firm I ntelligent Document Processing Use Cases in Financial Services The world’s leading financial institutions trust ABBYY. Pre-trained document skills with 90% accuracy out of the box 4

USE CASE: CONSUMER LENDING saved in manual review of loan package documents. ROI in 1.5 years . $508k OCR, classification, and extraction of all loan documents as the point of entry Expedite processing of any category of loan—past due, substandard, restructured, and bad loans Natural language processing provides highest level of entity extraction, especially from unstructured documents like real estate contracts, lease agreements, and titles Automate loan application and approval to improve customer experience 5

USE CASE: WEALTH MANAGEMENT Increase straight-through processing of complex insurance and financial documents to improve cost efficiency Utilize the wide selection of pre-trained IDP skills available, including brokerage statements, ACORD forms, and invoices Eliminate repetitive manual processes involved in processing documents to conserve internal resources Implement a single solution that’s scalable for multiple IDP use cases across the business ABBYY custom-created a Brokerage Statement Skill to meet the financial services provider’s precise document processing needs. 6

USE CASE: CHARGEBACK REPRESENTMENT Defend valid transactions and recover revenue Improve process visibility and increase straight- through processing Reduce complexity and errors to expedite case resolution Increase representment win rate and free knowledge workers from repetitive document processing tasks Automating the classification and capture of critical data contained in representment documents eliminates most manual review and reduces time to resolution by 80 percent . 80% 7

USE CASE: CUSTOMER ONBOARDING Deliver a seamless customer experience for mobile onboarding Automate document intake processes, including proof of identity, verification, and validation Reduce customer friction with web-based document capture via mobile device Seamlessly connect to back-end processing solution ABBYY is trusted by the top 4 US banks and 14 of the top 20 global banks . 8

USE CASE: KYC (KNOW YOUR CUSTOMER) Identify and remediate KYC vulnerabilities Automate document intake processes to ensure compliance with anti-money laundering (AML) legislation and customer due diligence (CDD) requirements Identify content types and patterns of interaction with customers and employees to flag suspicious activity Unify channel management for phone, email, chat, web portal, mobile, file transfer, scans, and more Multinational investment bank and financial services firm uses ABBYY IDP to capture, process, and analyze data accuracy, while monitoring regulatory declarations and coordinating with their existing KYC systems 9

French investment bank processes 10 million+ pages, 400 different document types, with single solution 10 million+ USE CASE: INVESTMENT BANKING Manage finance, investment, and guarantee documents with a single solution Automate processing of hundreds of semi or unstructured document types Classify document types for indexing in document management system Easily retrieve documents from network shares 10

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