Business Fortune
The biggest challenge of digitizing data and speeding up document processing is that the majority of business tasks still happen on paper or PDF files. From obtaining signatures on documents to managing loan applications, the extensive documentation involved remains highly time-consuming and manual. Companies invest significant resources in document management and compliance, particularly in regulated sectors such as healthcare, banking, legal, and supply chain industries. The advent of AI-based document processing has transformed this landscape, leveraging technologies like deep learning to automate document workflows. This automation reduces manual effort, enhances efficiency, and enables businesses to handle larger document volumes without increasing overhead costs.
Allganize is at the forefront of this revolution, specializing in AI solutions for insurance, finance, and SaaS companies. Their technology automates complex text document analysis, facilitating rapid responses to customer inquiries, improving search functionalities on websites and mobile apps, and extracting crucial information from contracts. Unlike competitors, Allganize's proprietary AI does not require manual data tagging, ensuring swift implementation and superior accuracy. Adopting Allganize has shown substantial benefits, with agents handling 3X to 5X more tickets daily, thanks to AI's ability to autonomously address 50% to 80% of queries.
This advancement marks a significant shift towards streamlined, efficient document processing in the digital era, empowering businesses to scale operations seamlessly while maintaining high standards of accuracy and compliance.
Simplifying Document and Automation Process
Alli AI: It is an Industry-Leading AI Answer Bot intelligently responds to customers through natural chat conversation flows, enabling the automation of up to 80% of support tickets. This allows customers to get serviced faster while improving employee productivity. Alli AI Answer Bot accurately responds to internal staff inquiries about human resources, accounting, information systems, sales support and other general questions. This decreases unnecessary support exchanges and reduces the amount of human labor required to address them. Best of all, Alli Answer Bot automatically responds to chat support inquiries from customers that visit your websites. By reducing the number of phone and e-mail inquiries requiring human attention, this leaves your support agents to handle larger support requests while improving customer satisfaction. Alli Answer Bot can personalize the chatflow based on the context of the conversation. Enabling AI automation of complex tasks, Alli understands the nature of inquiries and provides the right solution, such as responding to the inquiry with the right form.
Cognitive Search AI: Finding the right answers quickly can be difficult when a company has hundreds of documents to sort through. Allganize has perfected a smart search solution that instantaneously provides the relevant answer to a search inquiry, giving employees back that valuable time to their workday. Cognitive Search will automatically extract relevant information to deliver accurate results. With support for multiple file types, including unstructured documents, the intelligent search extracts answers quick, allowing agents to handle up to five times more support tickets. Their AI solution understands the search query using natural language understanding and will provide the answer in sentence or paragraph form, making contact center service representatives' experts in their field.
NER API: It extracts meaningful keywords from any text descriptions and automatically tags them with specific labels. Eliminating the need for manual tagging, this automates document processing. NER Analyzer uses machine learning to automatically classify keywords and reveal the meaning of the text. It extracts meaningful information about people, places, and events in order to better understand customer tone along with conversational flows. Review Analyzer identifies recurring themes and topics within comments and reviews. Without having to read every single review, this allows retailers to quickly and automatically gain insights on product feedback. Typically, it will take an employee an entire day to manually tag 500 phrases to track data for text classification (named-entity). With Allganize's text classification API, you can convert that manual data work to be 100% automated, saving employees significant time back towards their day and increasing employee efficiency.
Sentiment API: About 47% of consumers sort through reviews and look for sentiment (the tone in which a review is written) upon making a purchasing decision. The sentiment API can automatically parse and gauge the severity of your customers' feedback or support tickets based on positive, negative and neutral words used. Sentiment Analyzer uses machine learning to reveal insights on the meaning of written text. It automatically extracts information about people, places, and events in order to provide accurate customer sentiment feedback. The text classification is based on natural language understanding which automatically learns user intent in order to formulate responses to inquiries. This model can be trained further to customize user intent for your specific audience.
Changsu Lee | Co-Founder & CEO
Changsu Lee graduated with a bachelor's degree and master's degree in computer engineering at KAIST. After going through companies such as SKT and GameOn, he started 5Rocks, a mobile game data analysis startup, and then sold it to Tapjoy. He is currently based in Houston, TX.
