AI and RPA—transformative on their own. More powerful together.
Software robots are great at completing routine and repetitive work. But with artificial intelligence (AI), they can do a lot more. They can read documents and emails, analyze language and images, and understand speech. AI helps robots perform cognitive tasks, navigate uncertainty, and resolve inconsistencies. And the more that robots can think and understand on their own, the more they can do. The faster they can do it. And the bigger the impact they can make.
Technology’s new power couple
AI provides a cognitive upgrade for robotic process automation (RPA) robots, so it’s only fair that the robots return the favor. RPA can help you solve the ‘last mile’ challenge of AI deployment, so you get AI into production faster.
"The potential of automation is vast. We believe the power of AI can make it almost limitless. And so, we've built AI into every part of the UiPath Platform."
Daniel Dines
CEO, UiPath
The UiPath vision for AI + RPA
For UiPath, AI isn’t an add-on or complementary technology. We believe in the power of AI to transform, so we’ve built AI into every part of the UiPath Platform. AI isn’t an automation disruptor. AI is propelling automation forward, driving it to do more while continuously improving by learning from humans.
$200B
size of AI global market by 2026 — Forbes
85%
of enterprises will combine human expertise with AI, ML, NLP by 2026—IDC
$6.6T
productivity growth by 2030 — PwC Research
1 / 7
AI + RPA: Smarter robots, greater potential
With AI, RPA robots can emulate a wide range of the decisionmaking and problem solving that people do—which expands the range of work that you can automate. AI empowers RPA robots to work with the following:
Unstructured data
Let a robot work with ‘messy’ data in any form to perform tasks like invoice extraction, e-mail routing, and speech to text.
Variable processes
Put robots to work on processes that can vary based on input and context, including CV/résumé matching, purchase decisions, and language translation.
Predictive outcomes
Use AI-equipped robots to apply machine learning (ML) models to help with property valuation, loan default prediction, and inventory forecasting.
AI-powered industry innovation
Every industry has those tasks where it’s easy to get bogged down with data, verification, and analysis. With the combination of RPA and AI, you can streamline those processes and free your human workforce to focus on tasks where they can have a greater impact.
Task analysis
Automatically identify and aggregate employee workflows and apply AI to zero-in on the repetitive tasks to add to your automation pipeline.
Learn more about Task MiningInvoice processing
Thermo Fisher Scientific cuts invoice processing time by 70% for 824,000 documents processed annually
Read the case studyClaims processing
Through human-like recognition of user interface elements, UiPath AI Computer Vision automates claims processing tasks that span virtual desktop infrastructure (VDI) environments.
Learn more about AI Computer VisionEmail management
Deliver a richer customer experience by prioritizing and responding to customer emails immediately. Robots can detect intent, identify urgent issues, and extract critical information to speed response.
Watch the demoPrediction validation
UiPath Action Center brings humans to validate ML model predictions. Robots then send human-validated data back for automatic retraining. The model gets smarter with human inputs.
Visit Action CenterSick leave processing
A manufacturing company’s HR specialists save 85% of time previously spent on manual sick leave submissions – allowing them to focus on more valuable business tasks.
Read the case study
1 / 6
The AI + RPA lifecycle
Discover—What are your best automation opportunities? AI with RPA can help you make data-driven decisions on automation targets with Task Mining and Process Mining.
Build—With AI and RPA, you can build robots with the skills to process unstructured data, handle dynamic interfaces, recognize speech, and apply ML models, and natural language processing (NLP). With over 25 prebuilt models including Document Understanding and AI Computer Vision we’ve got you covered.
Manage—Losing the “last mile” battle in scaling AI? Use automation to go the distance. With AI Center, you can easily drag and drop ML models into your workflows. Drive compliance and governance with centralized monitoring and management.
Engage—As your AI-powered robots get feedback on their performance, they get better at their work. Their accuracy increases. Bring people into processes when human intervention is required with Action Center.
A growing AI partner ecosystem
