Manual data entry can result in inconsistencies and inaccuracies in the data, leading to delays and potential errors, which can be minimized by utilizing IDP. Intelligent Document Processing (IDP) is an AI-powered solution that utilizes machine learning algorithms to extract data from various types of documents, including invoices, contracts, and receipts. By automating document processing, IDP significantly reduces the time and resources required for manual data entry, minimizes errors, and improves operational efficiency.
Intelligent Document Processing solves these problems by automating the document processing process and utilizing machine learning algorithms to extract data accurately and efficiently. By automating the document processing process, IDP can reduce the time and resources required for manual data entry, freeing up employees to focus on higher-value tasks. Additionally, IDP can minimize errors in data entry, leading to more accurate and consistent data that can inform better business decisions. With Intelligent Document Processing, businesses can improve their operational efficiency, reduce manual workloads, and minimize errors in the data processing.
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Our context-specific, intelligent data capture and template-free approach reduces setup time and delivers faster time-to-value
No need for specialized skills, we provide necessary tools and a compelling user experience for business users to quickly achieve document automation
Processes data from multiple sources, including hard copies and digital data channels; e.g. scanners, FTP, emails, hot folders, etc.
Equip your teams with better data for better lending/underwriting decisions
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Auto-verifies and validates data by using business rules and AI/ML algorithms. Continuously learns using AI/ML algorithms and inputs provided by users
Deploy in the cloud or a hybrid environment to ensure infrastructure flexibility & scalability and get up and running faster
Identifies incoming documents based on content type, then auto-classifies and tags for further processing/extraction.
Ingest unstructured data into automation workflows using an IDP and RPA combination
