"A Game-Changer for Business Process"
Intelligent Document Processing (IDP) platform to help you understand unstructured business documents and automate operational processes.
With an access to top AI technologies derived from world leading universities and research institutions, high data veracity ensures quality output and in-depth analysis.
Turn Images / Scanned Documents into text content
Compliance Rules Check
Conduct Compliance Rules Check and Cross Verification
Read Documents and Extract Fields, Tables & Business Relations
Provide Semantic Search Engine to Answer Business Queries
Perform Reconciliation / Analysis / Stats to Calculate Metrics
Assist Users to Generate Customizable Memos / Reports
Financial Analysis Automation
For Banks, Audit, Investments & Insurance
Financial analysis is essential in a variety of commercial scenarios like credit underwriting and equity investments. To perform financial analysis, people typically need to read hundreds of pages of financial documents. These are annual reports, quarterly reports, announcements and bank statements, etc - mostly are unstructured documents with no uniform formats, which makes the process repetitive, time-consuming and prone to errors. Currently, this financial analysis process is performed 100% manually. For example, credit assessment for corporate loan in banks, it generally takes relationship manager and credit risk manager around 7-14 days to complete the financial analysis and generate an internal credit memo.
Automate Manual Process of Financial Spreading & Analysis of Financial Documents
iSiD provide an AI-Powered system to read and understand financial documents so as to automate & simplify manual processes including financial spreading, financial analysis and report generation. This Intelligent Process Automation solution enables financial institutions to improve the efficiency and productivity significantly.
Use AI to automatically extract financial indicators and values from various documents to perform data adjustments and calculations based on predefined standards.
Combine and analyze the numerical and textual information in financial documents to highlight key financial movements and identify relevant drivers.
Integrate third-party data such as corporate credit ratings, financial news, expertise reports and company announcements to supplement industry and competitive analysis.
Generate high-quality customized financial analysis reports within a few minutes.
For Banks,Trading, and Logistics
Trade finance is a very document and human intensive process. Especially, processing Letter of Credit (LC) in banks are 100% manual. LC supporting documents usually comprises of multiple unstructured documents like MT700, Bill of lading, invoices, Bill of Exchange, etc. All these documents are in different layout and format. LC also involves many international trade rules and standards like UCP and ISBP to be checked and verified which today requires many human checkers with strong domain knowledge. Therefore today banks need to put multiple human checkers to process each letter of credit case to avoid human errors. Each human check takes at least 40 mins to process one case. Therefore it is very time-consuming and repetitive.
Automate Manual Document & Compliance Check
in Letter of Credit (LC) Process
Powered by IDP's state-of-the-art Machine Reading Comprehension (MRC) and Optical Character Recognition (OCR) technologies as well as domain knowledge of UCP & ISBP banking rules, our AI engine able to read LC documents, understand them, extract key information and conduct the rules check automatically. It can greatly reduce the dependency of human LC document checkers to conduct first-level document checks and reduce turnaround processing time to enable the bank to scale up its trade finance operations exponentially.
Convert LC supporting documents into digital format through OCR technology. Check and auto-correct the converted text using NLP technology.
Extract key information from various documents using MRC technology and convert it to structured data.
Construct knowledge base and rules engine in trade finance and automatically conduct compliance checks in accordance to international trade standards.
Incremental Machine Learning
Collect user behavior for incremental machine learning so as to improve the accuracy of the AI model.