Case Study: Data Management Strategy November 8, 2019 A major Asset Management company was facing challenges in managing a very large volume of existing customer and accounts related data and documentation, while having to also deal with a tidal wave of new data coming in every month. Haystream worked with them to develop an effective data management strategy for their business, and created a roadmap to transition to a more robust and scalable storage using a combination of on-premise and cloud platforms. Contact us for more information Case Study: Legal Agreements Automation November 8, 2019 For a Global Technology company, our team deployed an AI/ML platform that enabled them to automate their Royalty Agreements process for the purpose of fee calculations and payments to game developers globally. They were able to achieve 95% straight-through processing across all of their agreements, while accurately extracting 99.4% of all entities and values from the legal agreements. Contact us for more information Case Study: Insurance Operations Automation November 8, 2019 A Fortune 500 Mutual Life Insurance Company has a team that manually extracts data from tax forms such as Federal K-1 forms to perform critical tasks including tax calculations, reconciliation across multiple forms, sub-entities and prior years, and timely tax filings. Our team implemented an industry leading technology platform that uses AI, Machine Learning and Natural Language Processing, to extract the required attributes and corresponding values, and automatically perform the required reconciliations. This helped the client achieve more than 70% straight-through processing across all tax documents, resulting in significant cost and processing time savings. Contact us for more information Case Study: Cloud Strategy and Migration November 8, 2019 A Global Fashion Retail Brand was seeking to transition to a new online order management system using a newer technology platform that leverages the cloud environment to provide a reliable, scalable and flexible experience for their online customers. Due to the seasonality of their business, including peak volume days such as Black Monday, the ability to scale their business in a more cost-effective manner, while providing their customers with a premium experience is very critical. Our team helped them develop and test a hybrid on-premise and multi-cloud strategy and solution to enable them to take their brand experience to the next level. Contact us for more information Case Study: Operations Automation November 8, 2019 A Global Investment Management and Asset Management company has a large team of qualified accountants and highly skilled staff who spend most of their time on low value manual processes, using more than 200 spreadsheets, to ingest and prepare data for the purpose of fees calculation and reporting. Haystream worked with the client to develop an automation solution using Artificial Intelligence and Machine Learning, deployed in a private cloud environment, that automatically processes more than 90% of transactions. This enabled the client to re-assign more than 90% of their staff to high-value tasks, while saving significant operational costs and time to process. Contact us for more information Case Study: Unstructured and Structured Data Extraction October 21, 2019 A Global Bank and Financial Services company has a large team of analysts who semi-manually extract information from millions of financial documents, in many different formats, structured and unstructured. Our team implemented an innovative solution to automate the digitization of these documents, and ingest data with more than 96% accuracy from financial and long-form text documents in PDF, image, Excel, CSV, and other input formats. This technology solution is state-of-the-art and uses AI, Machine Learning and Natural Language Processing in combination with proprietary algorithms that include domain and industry expertise. This solution resulted in more than 200% ROI and an 80% reduction in processing time. Contact us for more information Case Study: AI and Machine Learning October 21, 2019 A Global Bank and Financial Services company has a large team of analysts who semi-manually extract information from millions of financial documents, in many different formats, structured and unstructured. Our team implemented an innovative solution to automate the digitization of these documents, and ingest data with more than 96% accuracy from financial and long-form text documents in PDF, image, Excel, CSV, and other input formats. This technology solution is state-of-the-art and uses AI, Machine Learning and Natural Language Processing in combination with proprietary algorithms that include domain and industry expertise. This solution resulted in more than 200% ROI and an 80% reduction in processing time. Contact us for more information
