AiRo created an intelligent Bot to extract information from the source document and enter the data into the Argus database to create new cases. This required periodic updates for the Bots to comply with revised mapping documents.
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AiRo piloted automation of one of the routes of PV case intake – reporting from physicians by field sales reps using a messaging bot solution. AiRo is working further on an advanced prototype capable of E2B compliant XML output. Information received through a conversational assistant was very convenient for the reporter.
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Using modern AI and ML technologies like OCR and RPA AiRo developed a solution that can automate data extraction. This application uses RADF for data analysis and extracts the necessary information using an OCR Engine. The in-built machine learning solution improved the efficiency and reliability of the data processing using exception handling and data validation.
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AiRo proposed to adopt Artificial intelligence by combining multiple AI technologies to create a solution that would yield the best possible benefits for clients. The proposed solution architecture included several layers that would extract information from different sources, download it, convert it to a common format, and insert it into a database.
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AiRo built an RPA system to extract invoice data through OCR technology. The platform uses machine learning to validate the information and handle exceptions. The system is designed to perform 2-way, 3-way matches with ERP data. After approval, the application sends correct invoices for approval.
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Explore how we facilitated a seamless data migration for a life sciences major, reducing processing time and improving data integrity.
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Explore how we enabled a major Life Sciences company to improve response times and compliance through AI-driven solutions, revolutionizing customer interactions and support.
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