Integration with Artsyl’s Document Process Automation platform provides MS GP/AX customers and partners with a single view of transactions and document flow from data entry to reporting.
Artsyl utilizes digital transformation technologies such as AI and Machine Learning, Intelligent Document Capture (IDC), and Business Process Automation (BPA) to automate content acquisition and validation from structured and unstructured document sources.
The Artsyl-MS GP/AX integration will enable you to work with transactional documents like invoices and sales orders by automating all the necessary steps to obtain data from them including data entry, extraction and classification, validation, verification, and final approval before using it in your MS GP/AX ERP.
The end-to-end process chain that is established by this integration will help you implement procure-to-pay, order-to-cash, and other transactional, document-based processes within MS GP/AX itself, saving you manpower and operating costs.
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Automatically capture and synchronize business information from disparate transactions with vendors and buyers into your MS GP/AX for optimal operation. Create seamless connectivity from the edges of your organization to your MS GP/AX with a single view of document flow across departments.
Users can accomplish e-invoicing & sales order processing in their familiar MS GP/AX environment for any document type with Artsyl InvoiceAction and OrderAction. Digital transformation technologies such as AI and Machine Learning embedded in these Action Solutions make it easy to capture and process transactional or source documents in minutes.
Intelligent BOTs – Single View of Business
All-Purpose Document Capture:
Artsyl’s IDC BOTs are ore-configured to capture a wide range of document formats from diverse sources. Integration with multiple scanners and MFPs helps capture documents from any part of your business environment.
classification is implemented based on document type, post which it is assigned an appropriate workflow for further processing.
built-in generic knowledge enables automatic extraction and population of data. Machine Learning from AI Cognitive Services is used to extract new data. Another extraction method that utilizes both Generic and Machine Learning knowledge helps obtain data as per user requirements.
during data validation, in-document arithmetic calculations are checked. Additionally, extracted data is validated by tallying against database records and additional sources. Data validation steps include finding out
Documents are sent for approval in case of exceptions in this final step, after which, they are entered into MS GP-AX.