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Heugo - ML
Features
Heugo - Invoice
Heugo - Email Listener
Intelligent Document Processing
Improve employee productivity and make faster decisions with intelligent document processing
Documents come in various file types, varied formats, and contain valuable information. In most cases, you are manually processing the documents which is time consuming, prone to error, and costly. Not only do you want this information quickly but likely need to use the information within those documents for downstream applications. To help overcome these challenges, Turium’s Machine Learning (ML) now provides you choices when it comes to extracting information from complex content in any document format such as insurance claims, mortgages, healthcare claims, contracts, and legal contracts.
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Benefits
Highest Accuracy of data
Using ML can help you process documents faster and more accurately, reducing errors caused from manual entry. In cases where data needs to be 100% accurate to empower humans to review processes.
Faster data processing
Implementing intelligent document processing can help you accomplish weeks or months of work in a matter of days.
Improved employee productivity
Machine learning removes the manual process of pulling out insights from documents and entering information into various systems, enabling your employees to spend more time on value-adding business tasks.
Cost
Savings
Automating document workflows reduces the complexity of data extraction and analysis, reducing the average cost per document.
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Industry
Banking
Mortgage packets come with varying document types such as tax filings, W-2’s, paystubs, and applications which often times need to be split and classified. Using Turium’s ML you can extract the most important information out of mortgage applications such as asset valuation, credit score or property value using a combination of Intelligent Optical Character Recognition (iOCR) and Natural Language Processing (NLP) to speed up response times to your customers.
Manufacturing
Your organisation has been keeping records for centuries, those documents contain valuable information about various parts of your business operations. Bill of materials, Certificates of Analysis, and Purchase Orders are a major part of a manufacturing operation, which today is usually manual and time consuming. Using Turium, you can now automate the process by extracting text from contracts, identifying specific fields and values, and using the data to inform downstream systems in your manufacturing systems.
Insurance
Many insurance forms have varied layouts and formats which makes text extraction difficult. Using machine learning, you can extract relevant fields such as estimates for repairs, property address or case ID from sections of a document or classify documents with ease. By combining text extraction and NLP, you can process insurance forms such as insurance quotes, binders, ACORD forms, and claims forms faster, with higher accuracy.
Capital Markets
Financial proxy statements, SEC filings (10-K, 8-K, 14A, 497K, etc.), KYC forms, tax documents and more come in dense text format or mixed with tables and text making it difficult to process using traditional methods. Using Turium’s ML, you can process various formats and file types using iOCR and NLP combined to extract table formats and derive entities from documents and use custom models to recognize the entities and classify documents.
Healthcare
Many healthcare forms have free form text, dense paragraphs, checkboxes, and tables. Using ML, extract the necessary data out of these documents regardless of layout. By using the forms and tables extraction API and Natural Language Processing, you can not only leverage text extraction but also extract medical terminology from medical forms to provide fast results to your patients and subscribers.
Cross-Industry
Legal
Processing documents, such as agreements, court filings, or legal dockets, is a difficult task for legal teams. Contractual documents are often in non-standardized formats. The typical workflow for reviewing legal filings involves loading, reading, and extracting case number, parties involved or legal entities from the documents, requiring hours of manual effort. Using iOCR and NLP to extract text and specific terms can automate this process, with higher accuracy.
Accounts Payable
Using ML can help you process documents faster and more accurately, reducing errors caused from manual entry. In cases where data needs to be 100% accurate to empower humans to review processes.
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Looking to Get More Out of Your Customer Data?
Build once, use plenty, a future-proofed open architecture to design context-driven and customer-focused strategies for your business.
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Integrate multi-channel data and our top-tier predictive capability to quickly roll out data-enabled applications.
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Use powerful AI, decision models, and comprehensible data connectivity to ensure regulatory compliance.
Ensure that every activity is audited and relies on granular security levels for dynamic control.
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Watch ALGOREUS and ENIGMA in Action
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Impact Study: Building the Customer Centric Bank
Siloed operations hinder collaboration and knowledge exchange, which restricts the bank's ability to identify the appropriate offer for the right consumer at the right time.
In order to make client-centricity the core of their digital transformation plan, Turium teamed with a significant retail bank.
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Turium was able to resolve millions of unique clients from a single data asset, generate fresh leads for up-sell and cross-sell opportunities, and then leverage this knowledge to create new use cases throughout the bank.
PARTNER
Retail bank
REVENUE UPLIFT
$50M +
CUSTOMERS INVOLVED
$10M +
CAMPAIGN CYCLE
From years to weeks
RESPONSE RATE IMPROVEMENT
15%
AUGMENTED AGENTS
10,000 +