Nitro Software has launched Nitro Automate, an intelligent document automation platform for enterprise workflows. The use of Nitro Automate allows for the integration of Nitro Software in different workflows, systems, and AI agents. Nitro Software Nitro Automate ensures scalability in enterprise document processing and AI ecosystems. Furthermore, Nitro Automate offers an efficient means of managing documents.
Moreover, Nitro Software focuses on addressing long-standing inefficiencies in document-driven workflows. For example, contracts, invoices, and clinical documents have to be moved manually from one application to another. This creates delays and inefficiencies. Moreover, artificial intelligence agents cannot perform document-level activities effectively. In addition, Nitro Automate integrates enterprise-class document processing into customer relationship management. Enterprise resource planning, human resources management, and artificial intelligence. It also works with customized applications and workflows. Therefore, enterprises can manage documents in bulk without using multiple tools.
“Most companies are still building their document workflows manually,” said Cormac Whelan, CEO, Nitro Software. “We built Nitro Automate to ensure that never has to happen again. Nitro embeds wherever work happen your agents, your platforms, your applications and handles your documents automatically. Teams are not only more productive, they can redirect their time and energy to work that actually drives the business forward.”
Intelligent Automation for Enterprise Workflows
In addition to that, Nitro Automate processes thousands of documents within seconds. It allows for conversions, merge files, data extraction, and tracking eSignature requests. Moreover, it is implemented via AI agents via MCP integration. Furthermore, it integrates with Microsoft Power Automate, Zapier, and custom APIs. In addition to that, Nitro Automate operates within SOC 2 Type II, ISO 27001, and HIPAA-compliant environments. It offers security in managing data and robust privacy compliance. It is important to note that customer data is not used in AI training algorithms.
Explore HR Tech News for the latest advancements in Human Resources Technologies and insightful updates from industry experts!
News Source: Businesswire.com
