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AI & Automation
UiPath AI
UiPath AI logo
AI & Automation

UiPath AI

UiPath AI is an integrated suite of artificial intelligence capabilities built into the UiPath Business Automation Platform, designed to enhance and extend robotic process automation (RPA) with intelligent document processing, communication mining, and generative AI features. It enables enterprises to automate complex, cognitive tasks that traditionally required human judgment by combining computer vision, natural language processing, and machine learning. The platform targets business users, automation developers, and IT teams across industries like finance, healthcare, manufacturing, and government who need to process unstructured data, extract insights from communications, and create intelligent automation workflows. UiPath AI solves problems related to manual data entry, document classification, sentiment analysis, and process discovery by providing pre-trained AI models that can be easily integrated into automation workflows without requiring deep data science expertise. The platform is positioned as an enterprise-grade AI solution that complements RPA by adding cognitive capabilities to handle exceptions, make decisions, and adapt to changing inputs.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈2.5M visits/month (public web traffic estimate for uipath.com, Similarweb estimate, Q4 2024)
Engagement
0🔥
0👁️
Categories
AI & Automation
Agents & Bots

Key Features

Document Understanding

AI-powered extraction and processing of structured, semi-structured, and unstructured documents like invoices, forms, contracts, and receipts using computer vision and NLP.

Communication Mining

Automated analysis of customer communications across email, chat, and messaging platforms to extract intent, sentiment, entities, and actionable insights.

AI Center

Centralized hub for managing, deploying, and monitoring AI/ML models within the UiPath ecosystem, supporting both pre-trained UiPath models and custom external models.

Generative AI Capabilities

Integration with large language models (OpenAI, Google, Azure) to generate text, summarize content, answer questions, and create responses within automation sequences.

Computer Vision

Advanced screen scraping and UI automation that can interact with applications regardless of underlying technology using AI to understand visual elements.

Process Mining with AI Insights

Combines process mining data with AI to automatically identify automation opportunities, predict process outcomes, and recommend optimization improvements.

Test Suite with AI

AI-powered testing capabilities that automatically generate test cases, identify regression risks, and maintain test scripts as applications change.

Pricing

Community Edition

$0
  • ✓Free access to UiPath Studio with basic AI capabilities
  • ✓Limited robot usage for personal/learning purposes
  • ✓Access to basic Document Understanding features
  • ✓Community support forums
  • ✓Suitable for individual developers and students

Studio Pro

contact sales
  • ✓Professional development capabilities
  • ✓Enhanced AI features including Document Understanding
  • ✓Attended robot capabilities
  • ✓Standard support
  • ✓Suitable for professional developers and small teams

Enterprise Cloud/On-Premises

custom
  • ✓Full AI Center capabilities with all pre-trained models
  • ✓Unattended and attended robots
  • ✓Advanced Document Understanding and Communication Mining
  • ✓Generative AI connectors and capabilities
  • ✓Enterprise security, SSO/SAML integration
  • ✓Dedicated support, SLAs, and compliance features
  • ✓Custom ML model integration and management
  • ✓High availability and scalability options

Traffic & Awareness

Monthly Visits
≈2.5M visits/month (public web traffic estimate for uipath.com, Similarweb estimate, Q4 2024)
Global Rank
##4,832 global rank by traffic, Similarweb estimate
Bounce Rate
≈42% (Similarweb estimate, Q4 2024)
Avg. Duration
≈00:03:45 per visit, Similarweb estimate, Q4 2024

Use Cases

1

Accounts Payable Automation

Finance teams use UiPath AI to automatically process vendor invoices received via email or portals. The Document Understanding feature extracts key data like invoice numbers, dates, amounts, and line items, while Communication Mining analyzes vendor correspondence. The system matches invoices to purchase orders, routes exceptions for approval, and updates ERP systems, reducing manual data entry by 80% and cutting processing time from days to hours.

2

Customer Service Triage

Customer service departments implement Communication Mining to analyze incoming emails, chats, and social media messages. The AI automatically categorizes inquiries by urgency, sentiment, and topic, extracts customer details and issues, and routes them to appropriate agents or automated responses. This reduces response times, identifies common complaints for process improvement, and enables proactive customer service interventions.

3

Insurance Claims Processing

Insurance companies automate claims intake and assessment using Document Understanding to extract information from claim forms, medical reports, and damage photos. The AI validates information against policy rules, flags potential fraud indicators, and calculates preliminary settlement amounts. This accelerates claims processing from weeks to days while improving accuracy and consistency across thousands of claims monthly.

4

HR Onboarding Automation

Human resources departments automate employee onboarding by processing identification documents, tax forms, and employment contracts using AI. The system extracts personal information, validates document authenticity, populates HR systems, and generates personalized onboarding plans. Generative AI creates welcome emails and training materials tailored to each new hire's role and location.

5

Healthcare Patient Intake

Healthcare providers automate patient registration and medical history processing by extracting data from insurance cards, identification documents, and medical forms. The AI validates insurance eligibility, populates electronic health records, and flags missing or inconsistent information for staff review. This reduces administrative burden on clinical staff and minimizes data entry errors that could affect patient care.

6

Manufacturing Quality Control

Manufacturing plants use computer vision capabilities to automate visual inspection of products on production lines. The AI identifies defects, measures dimensions, and reads serial numbers or barcodes, integrating with quality management systems to trigger rework processes or adjust production parameters in real-time based on defect patterns.

How to Use

  1. Step 1: Sign up for a UiPath Automation Cloud account or install UiPath Studio on-premises, then navigate to the AI Center section within the UiPath Platform.
  2. Step 2: Access the AI Center and explore available pre-trained AI models (Document Understanding, Communication Mining, Generative AI) or connect custom ML models from external platforms like Azure ML, AWS SageMaker, or Google AI Platform.
  3. Step 3: For Document Understanding, upload sample documents (invoices, forms, contracts) to train the AI model to recognize specific fields, layouts, and data points through the visual training interface.
  4. Step 4: Create automation workflows in UiPath Studio that incorporate AI activities, dragging and dropping AI model components into your automation sequences to process documents, analyze communications, or generate content.
  5. Step 5: Deploy trained AI models to the AI Center and configure triggers for when automation robots should invoke them, setting up monitoring dashboards to track model performance, accuracy, and retraining needs.
  6. Step 6: Use Communication Mining to connect email servers, chat platforms, or CRM systems to automatically analyze customer communications, extract intent, sentiment, and entities for routing or response automation.
  7. Step 7: Implement Generative AI capabilities by connecting to foundation models (like OpenAI GPT, Google PaLM) through UiPath's connectors to generate text, summarize documents, or create responses within automation workflows.
  8. Step 8: Set up continuous learning pipelines where human feedback on AI predictions is used to retrain and improve models over time, ensuring accuracy improves with usage.
  9. Step 9: Integrate AI-powered automations with enterprise systems like ERP, CRM, and databases through UiPath's extensive connector library, creating end-to-end intelligent processes.
  10. Step 10: Monitor AI model performance through the AI Center dashboard, set up alerts for accuracy degradation, and schedule periodic retraining with new data to maintain optimal performance.

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At a Glance

Pricing Model
Paid
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