How AI is Fueling Digital Workflow Transformation
Organizations will require fuel to progress further along their digital transformation journey. Artificial intelligence is that fuel, and not just any type will suffice.
Fremont, CA:In recent years, companies have made wise investments in robotic process automation (RPA) and business process management (BPM). They've used RPA to automate discrete operations, freeing up countless hours of time for their personnel. BPM has assisted them in identifying workflows across the organization that is ripe for automation, resulting in increased savings and efficiency. However, RPA and BPM alone are insufficient to scale automation efforts.
It's Time To Improve Workflows And Connect Them
After the pandemic broke out, the urge to digitally alter processes grew even stronger. Customers have more digital encounters with businesses than ever before, and they have higher expectations for each of them. Companies recognize that in order to flourish in the post-pandemic environment, they must improve consumer experiences, streamline regulatory compliance, and be more adaptable in the face of change. To succeed, they'll need to identify and automate as many business processes as possible, focusing first on high-value activities like customer engagement, finance, and operations.
Businesses may automate labor-intensive operations and increase value by using an intelligent automation platform that combines capabilities such as RPA and machine learning. The issue is that many of these workflows still include time-consuming, inefficient, and manual steps. The difficulty of retrieving and processing unstructured data such as emails, financial documents, forms, contracts, photos, and digital assets is a major roadblock to full automation. As a result, artificial intelligence is paving the way to genuine digital workflow automation.
Artificial Intelligence (AI) Contributes to the Engine's Performance
The intelligent automation platform can be thought of as a filling station for all of your digital process transformation projects. The platform can use AI to identify, extract, process, and turn data into insights that can help organizations make better decisions. This necessitates the intelligent automation platform's tight integration of three components: document intelligence, process orchestration, and networked systems.