Building AI-powered RPA Workflows for Unstructured Data: Automating Customer Onboarding with LLM and Vision AI
We present a concrete workflow that breaks down the barrier of unstructured data processing, which traditional RPA could not overcome, through the synergy of LLM and Vision AI, and innovatively automates the customer onboarding process. This will be a game-changer that reduces manual errors, shortens processing time, and ultimately dramatically improves customer experience.
1. Customer Onboarding: Why is AI-powered RPA Needed Now?
New customer onboarding is essential in all industries, including finance, telecommunications, and services, but many companies still rely on manual work and legacy systems. Customers submit various forms of unstructured documents such as ID cards, business registration certificates, contracts, and complex application forms. The process of reviewing and entering these into systems causes the following chronic problems.
- High Manual Costs and Time Consumption: All stages, including document classification, data extraction, input, and verification, rely on human labor, making them inefficient.
- Potential for Errors: Incorrect entries or omissions due to human error can lead to customer dissatisfaction and regulatory compliance issues.
- Scalability Limitations: It is difficult to cope with a surge in customer numbers using manual processing methods.
- Impaired Customer Experience: Long processing times are a major cause of customer churn.
Existing RPA
