A digital worker is an automated team member trained to carry out a business process just like any employee, only faster and without mistakes. All teams will have digital workers alongside humans in the future.
Dynamic rule engine
Robotic process automation
Digital Workers help automate each stage of the business process leveraging intelligent automation including Robotic Process Automation, Chatbots, Natural Language Processing, alongside other cognitive technologies.
Each digital worker can manage one or more process or task. Additionally, it can be trained to prioritise selected tasks, handle exceptions and learn by doing. Digital workers can be delivered from the cloud or even on location for selected technologies.
Automating business processes provides many benefits: faster digitalisation, increased productivity, improved customer experience, speed and error-free delivery. At the same time automation can assist with incorporating new innovation into existing processes. Unique business process demands requiring a variety of technologies can be seamlessly managed together delivering the greatest benefits from automation.
Digital workers are revolutionising the workplace. The deployment of a digital workforce is fast and economical, no changes are required to existing information systems. Transformation promotes a flawless and stable work process that reduces human error.
Unlocking automation potential with different technologies
Traditionally, digital workers have been built utilising Robotic Process Automation making them perfectly capable of managing knowledge work tasks, which are based on a pre-defined business rule. Combining that with new capabilities offered by Natural Language Processing, Chatbots and other artificial intelligence technologies creates digital workers that are empowered to automate more complex tasks and are learning by doing. The results free up even more people from routine tasks and make them available for strategic, value-added work.
Our intelligent digital workers can sense and comprehend:
in the form of natural text, images, videos, etc.
like financial statements, sensor streams, etc.
They can also converse with humans in natural languages.
We have built these capabilities by using state-of-the-art artificial intelligence technologies like Natural Language Processing, Computer Vision, Deep Learning and Machine Learning and by partnering with innovative companies like Boost.ai, Blue Prism®, Microsoft, and UiPath.