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Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software. Just like people, software robots can do things like understand what’s on a screen, complete the right keystrokes, navigate systems, identify, and extract data, and perform a wide range of defined actions. But software robots can do it faster and more consistently than people, without the need to get up and stretch or take a coffee break.

Robotic process automation streamlines workflows, which makes organizations more profitable, flexible, and responsive. It also increases employee satisfaction, engagement, and productivity by removing mundane tasks from their workdays.

RPA is non-invasive and can be rapidly implemented to accelerate digital transformation. And it’s ideal for automating workflows that involve legacy systems that lack APIs, virtual desktop infrastructures (VDIs), or database access.

RPA technology is changing how the world gets work done.

Software robots—instead of people—do repetitive and lower-value work, like logging into applications and systems, moving files and folders, extracting, copying, and inserting data, filling in forms, and completing routine analyses and reports. Advanced robots can even perform cognitive processes, like interpreting text, engaging in chats and conversations, understanding unstructured data, and applying advanced machine learning models to make complex decisions.

When robots do these types of repetitive, high-volume tasks, humans are freed to focus on the things they do best and enjoy more: innovating, collaborating, creating, and interacting with customers. Enterprises get a boost too: higher productivity, efficiency, and resilience. It’s no wonder that RPA is rewriting the story of work.

RPA is not AI; AI is not RPA. But the combination of RPA and AI unlocks massive new possibilities for enterprises everywhere. For one thing, RPA technology now makes it possible to insert advanced AI skills in the form of machine learning models, natural language processing (NLP), character and image recognition, and more into RPA robots. Giving robots these AI skills dramatically expands their ability to handle cognitive processes that require things like:

• Understanding documents including semi-structured or unstructured data

• Visualizing screens (including virtual desktops)

• Comprehending speech and carrying on conversations and chats

AI is also making it possible to scientifically discover a complete range of automation opportunities and build a robust automation pipeline through RPA applications like process mining.

And at a time when companies need to accelerate their integration of AI into front-line activities and decisions, many are finding that RPA can serve as AI’s ‘last-mile’ delivery system. Robots can be configured to apply machine learning models to automated decision-making processes and analyses, bringing machine intelligence deep into day-to-day operations.

Conversational AI is a type of Artificial Intelligence technology that allows users to interact with business systems and trigger automated processes through spoken or written natural language to complete business tasks. This is possible by using advanced Machine Learning, NLU (Natural Language Understanding), NLP (Natural Language Processing), interactive voice recognition, powerful integrations, data processing, and automation.

You can imagine them as adaptive digital workspaces operated by employees and customers working side-by-side with their AI virtual companions to complete business tasks. Delivering a total user experience 24/7, CBAs can be deployed 5x faster than features for legacy systems, successfully maximizing ROI for existing platform investments. CBAs leverage a powerful conversational AI layer, complex automation capabilities, and open connectivity to any enterprise system and RPA technology.