Human interfaces adversely impact accuracy, security, and regulatory compliance when it comes to document processing. What is already a tedious and time-consuming process, is made even more difficult by the increasing amount, complexity, and variety of data. It all adds to the business cost of data analytics and threatens effective decision-making.
Digital-first enterprises and the rise of the intelligent automation ecosystem have put an even brighter spotlight on the problem. Businesses need smart, document processing solutions that automate data extraction and straight-through processing. This makes reliable information more readily available and reduces manual dependency and non-standardization.
XtractIQ is an AI-based document-processing solution that detects and interprets the content and structures of documents and singles out the data that is relevant to your business. Blending advanced technologies like OCR, ML, NLP, and computer vision, XtractIQ can effectively recognize patterns and extract intelligence from unstructured content in a range of forms and turn it into actionable data, generate inferences, and advance your move towards hyper-automation. XtractIQ can handle multiple languages, processes and types of documents – from handwritten notes to emails and files. It also integrates with legacy CRMs and ERPs to deliver actionable intelligence for fast decision making.
XtractIQ extracts and organizes information from complicated content forms to provide a 360° view of your organization, improve decision making, and drive operational efficiencies. It offers several important advantages.
XtractIQ super-charges your automation efforts by extracting data from different data sources and generating intelligent inferences for faster, more effective decision-making.
Key capabilities include:
XtractIQ efficiently generates inferences from the extracted data to provide crucial information in a structured manner enabling users to make better decisions across multiple business processes.
Extract and classify data from multilingual, structured, semi-structured, and/or unstructured documents such as emails, contracts, free-flowing text, and more.
Establish seamless interoperability with different legacy enterprise applications such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems.
XtractIQ, leverages manual verification as feedback using in-built ML capabilities to enable self-learning.
Scan and track various documents with different complexities with accuracy and confidentiality while drawing important insights.
Get the benefit of auto-crop, background editor, and noise reduction to improve data quality.
Undertake ML-driven automatic classification and sorting of incoming documents with ease.
XtractIQ lowers manual intervention in the insurance sector through recognition and processing of handwritten/printed payment forms, KYC documents, invoices, claims, checks, etc. while automating the underwriting review.
XtractIQ helps healthcare providers extract data from medical reports, ePCR reports, and narrative complaints, including symptoms, diagnosis, and procedures. It can then predict ICD, MIPS, Modifiers, and LOS codes based on the extracted information.
XtractIQ simplifies call quality rating and sentiment analysis by extracting relevant data from recorded calls using voice-to-text algorithms and scoring agent performance to enhance customer satisfaction.
XtractIQ can single-handedly process proof-of-delivery information, custom declarations, driver logs and maintenance logs to add quality, speed, and efficiency to telecom operations.