What are GenAI Activities and what can I do with them?

GenAI Activities enable you to integrate artificial intelligence capabilities directly into your automation workflows. They support various use cases including policy translation for global teams, detecting customer query languages for multilingual support, and contract drafting with internal guidelines.

Why are my GenAI Activities failing?

GenAI Activities may fail for several reasons. Common issues include model availability problems, suboptimal outputs, or configuration issues. Check that your models are properly selected and that you have the appropriate licensing requirements in place.

Why isn't a certain model available in Content Generation or Image Analysis?

Model availability can be restricted based on your tenant configuration, regional settings, or licensing tier. Additionally, for activities like Categorize, Named Entity Recognition, or Object Detection, you cannot manually select a model—these use predetermined model assignments.

How do I use Context Grounding in GenAI Activities?

Context Grounding allows you to provide additional context to improve the accuracy and relevance of GenAI Activity outputs. This feature helps tailor responses to your specific organizational needs and use cases.

Can I use my own instance of a model through a cloud service like Azure OpenAI?

Yes, UiPath supports integration with your own cloud service instances such as Azure OpenAI, allowing you to leverage your existing AI infrastructure.

Can I incorporate human-in-the-loop validation?

You can set up human-in-the-loop processes to validate GenAI Activity outputs before they're used in your automation, ensuring quality control and allowing for manual review when needed.

How are GenAI Activities governed?

All GenAI Activity calls are routed through the UiPath AI Trust Layer, which provides governance controls and audit capabilities. You can use the AI Trust Layer Automation Ops policy to disable GenAI Activities for specific tenants or hide them entirely for particular groups or users in your organization.

What licensing is required for GenAI Activities?

GenAI Activities require specific licensing arrangements. UiPath uses an AI Units licensing model for AI products, which replaced the previous AI Robots approach. Different capabilities consume AI Units at different rates depending on usage patterns.

How do I build an AI Agent in UiPath?

To build an AI Agent, navigate to cloud.uipath.com and select the Agents option. Choose "Build your agent" to access UiPath Agent Builder, where you can define the agent's logic, set up arguments, and connect tools built as RPA flows that perform real UI actions. You can use Autopilot to assist with building the agent.

What models can I use with Agentic AI?

UiPath Agentic AI supports multiple models including OpenAI's GPT-4.1 (default), Anthropic Claude, and Google Gemini, allowing you to choose the model that best fits your use case.

What tools does Agentic AI provide?

Agentic AI includes several tools for automation development: ScreenPlay for UI interaction, Autopilot for intelligent assistance, and Maestro for workflow orchestration. These work together to enable AI-powered automation workflows.

AI Units represent the new licensing approach for all AI products in UiPath, replacing the previous AI Robots model. Pipelines and deployed ML Skills consume AI Units regardless of whether automation is actively running.

How do different capabilities consume AI Units?

Various IXP (Intelligent Automation Platform) capabilities consume AI Units at different rates. For example, combining Modern Projects with the Unstructured and Complex Documents capability affects overall consumption differently than using each capability independently.

What is the Unstructured and Complex Documents capability?

The Unstructured and Complex Documents capability is a prompt-based extraction tool that leverages generative AI to extract data from documents containing paragraphs of free-form text or complex elements like tables, graphics, charts, checkboxes, and handwriting. Unlike Document Understanding Classic or Modern experiences, it focuses solely on extraction without splitting or classification features.

What are the differences between Unstructured Documents and Document Understanding Modern/Classic?

Document Understanding Modern or Classic projects work best for structured and semi-structured documents, while the Unstructured and Complex Documents capability handles complex, unstructured content. The Unstructured capability doesn't learn from user annotations and is prompt-based rather than using specialized pre-built models.

Are UiPath Academy courses free?

Yes, all UiPath Academy courses and learning plans are currently free of charge.

What certifications are available for AI automation?

UiPath offers a Certified Professional program through Pearson VUE, including certifications in advanced skills in AI-powered automation and software testing for professionals seeking to deepen their expertise in emerging areas.

UiPath

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UiPath provides an agentic automation platform that brings together AI agents, software robots, and human teams. It helps businesses automate complex processes, streamlining operations to boost productivity and save money across many industries and departments.

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Overview Features Use Cases FAQ Integrations Pricing

About UiPath

Who It's For

This platform helps businesses in banking, healthcare, and manufacturing, plus departments like finance and HR. It's designed for business owners, developers, and IT teams who want to build and manage automation together.

What You Get

You receive a system where AI agents think, robots do the work, and people lead. This leads to faster operations, lower costs, and more productive teams. It handles tasks from client onboarding to complex document processing and software testing.

How It Works

The platform connects AI agents, robots, and people to automate tasks end-to-end. You can create agents using Agent Builder, use ScreenPlay for system interaction, and get intelligent help from Autopilot. It supports your own AI models and includes strong security.

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Reach users actively searching for AI tools. 50,000+ monthly targeted views available.

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Features & Capabilities

⚙️ Core Agentic Automation

Agentic Orchestration

Model and orchestrate agents, robots, and people across end-to-end processes for seamless operations.

Automated Workflow Design

Plan, build, and deploy automated workflows, integrating human intervention where needed for complex tasks.

AI-Powered Activities

Empower agents and robots with intelligent tools including AI, API, and rules-based capabilities.

Intelligent Document Processing (IDP)

Extract and process information from various document types using AI to automate data entry and analysis.

🧪 Enterprise Testing Automation

Comprehensive Enterprise Testing

Unlock comprehensive testing capabilities for enterprise applications, integrations, and SAP environments.

Test Cloud

Utilize a cloud-based platform to power the future of agentic testing, offering scalability and flexibility.

Agent Builder for Testers

Provide tools for testers to build and deploy specialized agents for automated testing purposes.

Autopilot™ for Testers

Accelerate and enhance testing processes with AI-augmented automation, improving speed and accuracy.

🔒 Platform Security & Governance

Fine-Grained Governance

Ensure security and compliance with role-based access, real-time monitoring, and comprehensive controls for agentic operations.

Risk Management for AI

Implement audits and guardrails to de-risk AI adoption and manage agent, application, and tool sprawl effectively.

🚀 AI Transformation & Efficiency

AI Process Transformation

Agentify end-to-end processes using an open, flexible, and interoperable architecture for advanced automation.

Rapid Time to Value

Enable fast prototyping and collaborative development for quick outcome validation and efficient deployment.

Co-creation Capabilities

Empower diverse teams, from business owners to developers, to collectively build and innovate automation solutions.

Use Cases

Automating Unstructured Document Processing

Organizations frequently encounter bottlenecks from manually processing complex, unstructured documents like claims, contracts, and invoices. UiPath's agentic automation, leveraging generative AI for advanced data extraction and intelligent document processing, empowers businesses to automatically process these documents, significantly reducing manual effort, improving data accuracy, and accelerating critical workflows in areas such as financial operations and customer service.

Financial ServicesFor: Operations Teams

Accelerating Enterprise Software Testing with Agentic AI

Manual and traditional automated software testing often struggles to keep pace with rapid development cycles and the complexity of modern enterprise applications and integrations, leading to release delays and quality concerns. UiPath's Agentic Testing, powered by AI and tools like Test Cloud and Autopilot, enables QA teams to rapidly build, execute, and manage comprehensive test automation suites, ensuring higher software quality and faster time-to-market.

IT & Software DevelopmentFor: QA / Testing Teams

Enhancing Customer Support with AI-Powered Multilingual Agents

Contact centers often struggle with high volumes of diverse customer inquiries, including those in multiple languages, resulting in slow response times, inconsistent service, and agent fatigue. UiPath's agentic automation, integrating GenAI Activities, enables organizations to intelligently detect customer query languages, translate policies, and automate personalized responses, leading to faster, more accurate, and consistent customer interactions.

Customer Service & BPOFor: Contact Center Agents

Orchestrating Complex End-to-End Business Workflows

Many organizations face inefficiencies in complex business processes that involve a mix of human decisions, AI agents, and robotic tasks spanning disparate systems, leading to operational delays and a lack of transparency. The UiPath platform unifies and orchestrates these elements, enabling "agents to think, robots to do, and people to lead" by automating and optimizing entire workflows with governance, process intelligence, and human-in-the-loop validation, thereby improving overall operational excellence.

Enterprise OperationsFor: Business Process Owners

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