ADOC Solutions offers the integration of Artificial Intelligence technologies into the Digital Transformation process. Artificial Intelligence (AI) is “the set of theories and techniques used to create machines capable of simulating intelligence”. Recent developments in data structuring (big data) have created the impetus to develop new variations of Artificial Intelligence for specific applications.
Artificial Intelligence can be used as means to achieve a previously fixed result in order to boost efficiency, improve customer satisfaction, adhere to the regulations and their evolutions, and guarantee the reliability of the data being collected and exploited.
Reliability of Collected Data
Digital transformation promotes the circulation of information in electronic format (web portal, emails, mobile applications, API). However, the variety of formats and the lengthy implementation of electronic signature processes do not ensure data security. In order to make the information communicated more reliable, it is now possible to operate scalable rules, for content analysis, inter-document analysis, and intra-document analysis. These processes can identify possible fraudulent activity and secure decision-making, both human and computer. It is now possible to reduce risk taking while promoting a customer-oriented relationship.
The structuring of the data collected, in accordance with the regulatory requirements (RGPD), increases the understanding of the data to be analyzed. Machine learning technologies create a simplification in the enrichment of knowledge bases, resulting in a continued evolution of the system. The contribution of Artificial Intelligence via automatic classification helps to link documents, data, ideas and therefore gradually promote the use of natural language in applications such as Document Management.
For example, in the finance and loans industry it is now possible to analyze customer documents such as account statements, tax returns and paycheck stubs to ensure the reliability of the data. The first phase of AI identifies the relationships to parts of the file. The additional regulatory constraints allow it to generate different behaviors according to an evolving criterion such as completeness of the files, presence of specific parts, and missing of signatures. We can build scenarios using automatic classification in order to solicit specific actions.
The scope of Artificial Intelligence is vast. Our knowledge and experience in AI for business applications stems from the many customer requests we have received over the years when performing digital transformation services. Today automatic classification is in strong demand for different documentary typologies including incoming mails, invoices, and other business-related documents. Evolution of the learning methods not only improves application deployment times but reduces overall expenditures.