Robotic Process Automation
Go from tedious to automated—with a single RPA solution
Robotic process automation
Why robotic process automation?
Focus on more important tasks by training robotic process automation (RPA) software bots to perform the tedious, repetitive, manual ones.
End-to-end intelligent automation
In an increasingly connected world, automation capabilities allow organizations to do more with less across their business. We’ve made important strides with process automation. But the patchwork nature of these services is holding back our ability to scale automation across the enterprise, from digitizing pen-and-paper tasks to automating complex processes that span legacy and modern applications.
60% of all occupations have at least 30% of activities that could be automated.
Driving Impact at Scale from Automation and AI, McKinsey, February 2019
There’s a better way
To realize the promise of automation, organizations must:
Automate processes across legacy software and modern cloud-based apps and services;
Leverage low- or no-code approaches to make automation accessible, and reusable, to everyone in the organization;
Empower teams to easily bring AI models into their everyday workflows;
Integrate digital process automation (DPA), robotic process automation (RPA), and artificial intelligence (AI) into a scalable, end-to-end automation solution.
Key components of intelligent automation
Automate workflows across the variety of modern cloud services that workers use every day. This API-based approach lets you automate workflows between applications and services, sync files, get notifications, collect data, and perform other common tasks.
Automate processes and exchange data with legacy, on-premises software that is still essential in many enterprises. This UI-based approach turns manual tasks into automated workflows by recording and playing back human-driven interaction with software systems that don’t support API-based automation.
Integrate AI models into your workflows with a low-code approach. Using capabilities like form processing, object detection, prediction, and text classification, this approach allows for the automation of unstructured inputs.
A closer look at RPA
Runs on a worker’s PC to automate cumbersome or repetitive processes, allowing the worker to correct any errors as needed. This approach achieves many benefits of automation while allowing for human intervention when human intelligence or business experience is required.
Runs with no user logged in. Workflows trigger in the background based on events that happen, and then run at any time in the cloud. It is used to accelerate automation of high-volume, repetitive tasks without lifting a finger.
Together in the cloud
Bridging DPA, RPA, and AI in a single, low-code SaaS offering in the cloud makes it possible to:
Create reusable “building blocks” that can efficiently scale automation across your organization,
Securely integrate automation at every level,
Accelerate productivity so your people can focus on more strategic work.