According to Gartner, 80% of enterprise data is unstructured, meaning that it cannot be processed further, by utilising conventional tools or techniques. Take for example, invoices received in PDF format, or shipping instructions and records received as paper documents, or employee onboarding data received in email text. The data contained in these categories or documents include insights that are critical for follow-up insights, which will usually be extracted by manual means. Following extraction, rule-based tasks can be completed by Robotic Process Automation.

Venturiq’s innovative Intelligent Document Processing (IDP) solution utilises Artificial Intelligence (AI) and Machine Learning (ML) to automatically extract data from documents, in order to pre-process for follow-up actions. By utilising computer vision, advanced Optical Character Recognition (OCR) and Natural Language Processing (NLP), Venturiq can help organisations to increase the scope of data for which automation can be implemented.

Venturiq’s IDP solution is connected to our RPA capability, which means that once data is extracted from documents, the follow-up workflows are automated by Digital Workers, thereby freeing up human colleagues to focus on strategic tasks instead.