As is happening in all types of sectors and areas, IA is transforming document managementsince it allows automate tasks, lower costs and improve accessibility to information
Process automation allows AI to organize and analyze documents without the need for manual intervention, optimizing times and reducing errors. According to the Spanish company OpenKM, developer of the Open Source document management system of the same name, he says that «Companies that adopt document management solutions with AI manage to reduce up to 60% the time dedicated to classification and document processing«.
Smart data extraction, through natural language process techniques, facilitates the achievement of key information of a large amount of data (even handwritten text). In addition, it achieves it more precision than traditional commercial solutions, which can lead to half the manual data introduction errors.
Another of the main benefits of the use of this type of document management systems is the reduction of operational costs by up to 40%, since automation the need for staff to perform repetitive tasks, and allows you to devote time and resources to functions of greater added value.
In the health sector, the AI optimizes the review and classification of clinical documents, improving the management of medical records and lowering up to 30% access to information. In the legal field, technology speeds up the organization of files and the location of judicial documents, lowering halfway the time it takes to recover key information.
In finance, documentary automation improves the management of invoices, contracts and regulatory documents, which reduces as much time and failures. According to OpenKM estimates, companies can reduce up to 45% the time they dedicate to financial document management.
But the adoption of AI in document management, despite its advantages, must take into account aspects such as data security and regulatory compliance. According to Gaspar Palmer, CEO of Openkm«Companies must ensure that their AI systems protect the confidentiality of information and comply with current regulations«.
Palmer has also pointed out that «Organizations generate and manage increasingly large information volumes, and without efficient management, this data flow becomes a load instead of an asset. With the integration of AF«.
