Business Process Usecases - MDocs
you can relate this use cases with any of your existing automation needs
Document intelligence seamlessly incorporates OCR technology to extract text and data from scanned or image-based documents.
It processes the extracted text to identify and organize relevant information such as names, dates, numbers, and addresses.
Document intelligence employs NLP algorithms to understand the context and meaning of the extracted content, enabling it to identify key insights and relationships within the document.
It utilizes machine learning models to improve accuracy over time, adapting to various document types and languages.
Document intelligence can enrich extracted data by cross-referencing it with external sources, adding valuable context and accuracy to the information extracted from documents.
Ensure documents are consistently formatted with clear headings, tables, and labels to facilitate data extraction by robotic processes.
Use consistent file and folder naming conventions to help robots easily locate and access the required documents.
Apply tags or metadata to documents to indicate the type of content they contain, making it easier for robots to identify relevant data.
Implement a quality control process to verify and correct errors in document data before robotic processing, reducing the risk of inaccuracies in downstream operations.
Maintain version control for documents to track changes and updates, allowing robots to access the most current and relevant information when needed.
Automation PO intelligence extracts essential information from invoices, such as invoice numbers, dates, amounts, and vendor details.
It validates the extracted invoice data against purchase orders and receipts to ensure accuracy and compliance with procurement processes.
The system routes invoices for approval based on predefined rules and thresholds, streamlining the approval process and reducing manual intervention.
It integrates with payment systems to initiate payments for approved invoices, automating the accounts payable workflow.
Automation PO intelligence provides insights and analytics on invoice processing, helping organizations optimize their procurement and financial operations.
Automation BOE intelligence captures data from Bill of Entry (BOE) documents, extracting key information like product details, quantities, customs information, and importer/exporter data.
It verifies the BOE data against regulatory requirements and compliance rules, ensuring adherence to import/export regulations and minimizing errors.
Automation BOE intelligence integrates with customs and trade compliance systems to facilitate seamless data sharing and submission of accurate BOE information.
The system automates the workflow for BOE processing, including document submission, approval, and tracking, reducing manual efforts and speeding up clearance processes.
It generates reports and maintains audit trails of BOE transactions for transparency and compliance monitoring, aiding in record-keeping and regulatory audits.
KYC automation intelligence verifies identity documents such as passports, driver's licenses, and IDs, ensuring they are valid and unaltered.
It extracts relevant customer information from submitted documents, including name, address, date of birth, and photo identification.
KYC automation checks customer data against watchlists and databases to identify potential risks, such as politically exposed persons (PEPs) or individuals with sanctions.
The system assesses the risk associated with each customer based on their provided information and transaction history, categorizing them as low, medium, or high risk.
KYC automation generates compliance reports and maintains audit trails to demonstrate regulatory compliance, facilitating a streamlined and auditable KYC process.
Bank statement intelligence extracts essential data from bank statements, including transaction details, dates, account balances, and account holder information.
It categorizes transactions into income, expenses, and transfers, and performs financial analysis to identify spending patterns and anomalies.
The system identifies financial trends and behaviors over time, helping users understand their financial health and make informed decisions.
Bank statement intelligence checks for compliance with financial regulations and flags any unusual or suspicious activities for further investigation.
It generates reports and provides insights into financial status, enabling individuals and businesses to manage their finances more effectively.
Unstructured financial ledger intelligence extracts data from diverse and unorganized financial documents, including invoices, receipts, and handwritten records.
It organizes extracted data into structured formats, such as balance sheets, income statements, and transaction records, for easy analysis.
The system categorizes financial entries, identifying income, expenses, assets, and liabilities, to create a coherent ledger.
It identifies and rectifies discrepancies or errors in financial data to maintain accurate and compliant financial records.
Unstructured financial ledger intelligence provides insights and generates reports to assist businesses in making informed financial decisions and complying with accounting standards.
Packaging list and Certificate of Origin intelligence extracts crucial information from these documents, such as product details, quantities, packaging specifications, and origin information.
It verifies the accuracy and authenticity of the data against predefined criteria and regulations to ensure compliance with trade and customs requirements.
The system matches the information from the packaging list and Certificate of Origin with other shipping and import/export documents to streamline customs clearance and reduce errors.
It generates compliance reports to demonstrate adherence to trade regulations and standards, facilitating smoother international trade operations.
Packaging list and Certificate of Origin intelligence seamlessly integrates with supply chain and logistics workflows to automate document handling, reducing manual effort and errors in trade processes.