Early Robotic Process Automation (RPA) Robots unburdened employees from mundane, repetitive work, allowing them to focus on solving problems and creating value.
Now, with help from AI, Robots are learning new skills. AI enables them to interact with UI elements to complete tasks, read and process documents, communicate in natural language, and analyze and optimize processes.
Recognize and complete UI elements with human-like precision, lowering the need for technical selectors or APIs and maintaining automation robustness even after software upgrades.
Develop insight into new sources of unstructured data including invoice extraction and processing as well as template-less processing of receipts and expenses .
Observe user behavior to automatically discover and learn common tasks and processes. Prioritize automation opportunities of identified processes based on expected ROI. Auto-generate Robot configurations based on as-is design and with efficiency improvements.
Analyze Sentiment of text, chat, and voice inputs, classify inputs in order to automatically route them to the right team, and execute requests and actions from ChatBots and Voice Assistants.
Add AI Skills to your automation in 3 steps
Open UiPath Studio
Drag and Drop an AI Skill into
your Automation Workflow
Customize AI Skills Parameters
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Hollard Group implemented machine learning, natural language processing, intelligent OCR, and analytics capabilities from Microsoft Cognitive Toolkit, IBM Watson, and ABBYY to process 1.5m emails per year.
Curo Fund Service augmented their 250 transactions/day price sourcing process with machine learning from Microsoft Cognitive Toolkit, and Accord.NET as well as analytics from IBM Watson, and optical character recognition with ABBYY.