RPA and Generative AI: Ideal Integration for Intelligent Business Processes
The impact of technology on the business world is increasing exponentially, but not every solution is suitable for every problem. RPA (Robotic Process Automation) automates large volumes of repetitive and monotonous tasks but fails to handle many processes due to certain limitations. The integration of Generative AI with RPA can overcome these limitations and successfully advance your company's digital transformation. Why does the combination of RPA and Generative AI revolutionize business processes, and why are major companies pursuing this integration?
Why Combine RPA and Generative AI?
RPA handles rule-based tasks but struggles with variable or unstructured data. Generative AI eliminates these limitations. Here are some scenarios where they work together:
- Invoice Processing: Extract invoices from emails from various companies and enter them into the ERP system.
- Customer Service: Provide personalized responses to complex customer issues or route them to relevant teams to resolve complaints.
- Document Analysis: Extract required fields from PDFs, compare texts, and deliver structured data to RPA workflows.
RPA and Generative AI Use Cases
1. Invoice Processing: Handling Different Types of Invoices
RPA works well with structured data but cannot handle invoices in different formats from various companies. Generative AI addresses this issue:
- Generative AI: Converts the required data from invoices into a structured format.
- RPA: Inputs the structured data into the ERP system.
Example: Kuehne+Nagel found that 67% of invoices from suppliers were in different formats. Generative AI converted these invoices into a consistent structure, reducing manual intervention by 96%.
2. Customer Service: Resolving Complex Issues
RPA can categorize customer inquiries but struggles to understand textual complaints. Generative AI interprets customer complaints, generates responses, or predicts the relevant department for escalation.
Example: Amazon used RPA and Generative AI integration for return requests, increasing customer satisfaction by 38%.
3. Document Analysis: Extracting Meaning and Making Predictions
RPA can extract static data from documents, but Generative AI analyzes the content to derive meaning or provide answers to queries.
How to Integrate RPA and Generative AI with NisusAI?
- Step 1: Integrate UiPath with NisusAI:
- Install the NisusAI NuGet package via UiPath Package Manager.
- Use the 'Begin Dialogue' activity to create context-aware workflows.
- Step 2: Create a Generative AI Assistant: Develop AI-powered solutions for customer service or document analysis.
Benefits of NisusAI
- Powerful Data Analysis: Extracts meaning from unstructured data.
- Error Reduction: Proactively corrects missing or incorrect information.
- Flexible Usage: Adaptable to various industries and workflows.
- Quick Integration: Ready to use after just one hour of training.
Conclusion: The integration of RPA and Generative AI offers not just automation but also intelligent and flexible solutions. NisusAI delivers these technologies in a reliable and user-friendly way to transform your business processes. Explore NisusAI UiPath Integration to make your workflows smarter.