Kanverse Intelligent Document Processing: Product Datasheet

Enterprises handle plethora of documents today. These The very idea of Intelligent Document Processing (IDP) is to documents are often manually processed by humans, and digitize the entire document processing across the relevant data is then manually entered into the business processes by eliminating the touchpoints that application systems for storage and future retrieval purpose. requires manual intervention. Relying entirely on human efforts to process documents can lead to long cycle times, unwanted errors, increased costs, Kanverse IDP digitizes document processing for enterprises. and hampered productivity. It intelligently classifies, captures, and extracts all data from documents entering the workflow. It then organizes the As per Gartner, by 2025, 50% of business-to-business information based on business need. The raw data is invoices worldwide will be processed and paid without sanitized and cleansed by the system during processing. manual intervention and by 2030, 80% of Once the data has been validated and verified, the system business-to-business invoices worldwide will be automatically exports it to downstream business transmitted digitally. applications. The entire process is powered by (AI) and advanced machine learning (ML) algorithms to make business processes more resilient to disruptions and help mitigate risks.

Build resilient business processes for the enterprise of the future with AI driven technology

AP Invoice Automation – Automated workflow to extract and validate the header amount, line-item data from supplier invoices, and then matching it with existing purchase order (PO) data residing in the ERP system. Exponentially minimizes processing time while reducing costs at the same time.

Purchase Order (PO) Processing Automation – Automated order data extraction from physical, scanned, and faxed POs. Extracted data is automatically matched and validated against existing catalog databases.

Quotation Processing Automation - Automate the manual data extraction process across all quote processing . Then process the data based on business rules and publish the data into the enterprise system of records. It fastens the quote processing workflow and ensures high data accuracy.

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Key Features

Import documents from AI-powered document AI-driven anomaly Auto validate and verify multiple channels for recognition, extraction, and detection to detect data based on business processing classification aberration patterns logic

Publish the processed Apply business rules to Auto publish documents Highly accurate recognition document data into system the documents based on business need and extraction of the header, of choice line item data, and data from tables

Business Benefits Building effective and resilient business processes Flexibility to capture document data from multi-channels Reduced costs by optimizing business processes and workflows with intelligent automation Reduced document processing cycle time across business processes Increased productivity and efficiency Uninterrupted business process continuity with effective data processing Ensuring data integrity and quality Meeting the end-to-end compliance and security requirements with holistic visibility and monitoring

Eliminate the need to create templates for extraction and the complex template creation process How It Works

Document Import Channels - Kanverse IDP processes multiple document types from various channels continuously. It automatically captures documents from emails (aliases), ftp sites and SharePoint. It not only processes documents uploaded into a hot folder (using FTP protocol) but also supports external systems to upload documents using the REST API inside a secure environment.

Document Recognition and Classification – Kanverse IDP uses patent pending methodology of combines OCR with AI technologies to classify and extract documents. Documents are detected and classified based on type. Data and texts are extracted from specific fields in each document using AI-powered multi-language recognition technologies.

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Documents of different types (Invoices, PO, Quotations etc.) and of different formats from multitude of vendors can be handled simultaneously. Multi-page documents are handled by the software. The documents that get skewed while scanning are also handled by Kanverse IDP with ease.

Administration and Monitoring – Dashboard

Document Import Document Document Data Data Channels Recognition Verification Publish

Image Preprocessing Anomaly Detection Database Software Email Management System (DBMS) Document Detection

Data Verification Customer Relationship Management (CRM) REST API Auto Classification

Enterprise Resource Classification Error Data Validation and Planning (ERP) Correction Error Correction FTP Document Management System (DMS) Data and Text Extraction

Auto Validation and Enterprise Content Publish Management (ECM) SharePoint Text Recognition

Document Data Verification – In the verification station data is checked based on the correctness confidence score to

ensure extracted information matches with the original document. Extracted data is also analyzed to detect anomalies. The data is then validated based on a set of predefined business rules to ensure data correctness. Data Publish – Processed data is automatically exported into different file formats, or database applications, or any system of record used by the enterprise (e.g. Oracle Sales Cloud, Netsuite etc.). Analytics and Monitoring – Analyze and monitor system health, processing time, document flow, and agent productivity to ensure business process continuity and effectiveness through a multi-tenant Dasboard.

About Us

Kanverse is a Jade Global entity. It is an AI-powered platform that can support various use cases across the enterprise. We are headquartered in San Jose, California, with U.S. offices in Philadelphia and Los Angeles. Jade Global has been recognized as one of the fastest-growing companies in North America by Inc. 5000.

[email protected] www.kanverse.ai