When it comes to RPA (Robotic Process Automation), its history is not short. Early RPA was primarily used for automating fixed, rule-based processes, such as logging into systems at scheduled times, downloading files, filling out forms, and sending reports. These tasks share a common characteristic: they are repetitive, tedious, and completely procedural. Using RPA for such work is simply ideal, as it not only improves efficiency but also eliminates errors.
However, in practice, people have found that relying solely on these fixed rules for automation is far from sufficient, as many business processes are not so rigid, such as contract review, invoice processing, and customer inquiries. These tasks require a certain level of judgment and flexibility, which RPA struggles to achieve. This is when AI (Artificial Intelligence) comes into play.
AI Capabilities
The introduction of AI has evolved RPA from simple task automation to “cognitive automation.” In simple terms, if traditional RPA is a compliant worker, then RPA with AI is a smart assistant that can help you with more intellectually demanding tasks.
For example, companies often need to process various contracts, which can be complex and diverse. Extracting key information such as the names of the parties involved and the contract date is not as simple as copying and pasting.
Traditional RPA can at most help you with copying and pasting, while identifying these key pieces of information still relies on manual effort. With the addition of AI, however, it can “read” contracts like a human, identify the key information you need, and organize it to help you complete the entire process.
To better understand this “cognitive automation,” let’s take a closer look at how it operates. In the world of RPA and AI, RPA mainly executes repetitive tasks, such as clicking, copying, pasting, and entering data. Meanwhile, AI takes on the tasks of thinking and judgment, such as recognizing text in images, understanding text content, and even engaging in voice conversations. This way, RPA and AI work together, making them the perfect partners in the workplace.
Speaking of specific applications, we must mention the UiBot platform. UiBot is an RPA platform integrated with a wealth of AI capabilities, particularly adept at handling various complex document and image recognition tasks. This platform can not only perform simple process automation but also manage complex scenarios requiring cognitive abilities, such as contract review, financial reimbursements, and customer inquiries. The intelligent document processing feature of UiBot is a boon for enterprise document management.
Intelligent Document Processing
First, let’s take a look at the “intelligent document processing” feature. This is a specialized AI capability platform created by UiBot for enterprises, capable of converting various unstructured information, such as text in images and documents, into structured data.
In simple terms, it helps you organize chaotic documents in an orderly manner. This platform is equipped with various AI technologies, including OCR (Optical Character Recognition) and NLP (Natural Language Processing), which can recognize various images and documents and extract the key information you need.
For instance, if you need to recognize an ID card, traditional RPA can only help you move the ID card image from one folder to another, but identifying the name, gender, and date of birth on the ID card requires manual inspection and transcription.
At this point, UiBot’s intelligent document processing feature can come into play. You just need to upload the ID card image to the system, and UiBot will automatically recognize the text in the image and extract information such as name, gender, and date of birth. This process is not only fast but also accurate. Even better, these features can be implemented through low-code methods, allowing even those with minimal technical knowledge to easily get started.
Moreover, UiBot also provides customized AI models for enterprise users. What does this mean? It means you can train a bespoke AI model based on your business needs. For example, if your company frequently processes a certain special format of invoice, a general AI model may not accurately recognize it, but you can configure or train the AI model to have the capability to recognize this special format. This way, no matter how complex your business is, you can find a suitable solution.
More Applications
In addition to intelligent document processing, UiBot also offers many other AI capabilities, such as voice recognition, image recognition, and natural language processing. These capabilities can seamlessly integrate into RPA processes, allowing RPA to not only perform actions but also “think.” In simple terms, RPA is responsible for execution, while AI is responsible for thinking. After their combination, many complex tasks in enterprises can be automated.
For example, financial reimbursements are a major project within companies. When employees seek reimbursement, they often need to submit a pile of receipts, such as invoices, tickets, and accommodation bills. These receipts come in various formats, some of which may be submitted in a disorganized manner, requiring financial personnel to spend a lot of time verifying them.
UiBot’s intelligent document processing feature can not only recognize these receipts but also determine their types, such as which is an invoice and which is a ticket, and then extract key information and organize it into an Excel spreadsheet. This way, financial personnel only need to conduct a simple review of the organized data, significantly improving work efficiency.
Similarly, in contract review, traditional RPA can only help you automatically open contract files, but extracting key information still requires manual review. With the help of AI, RPA can automatically identify important clauses such as the names of the parties involved, contract date, and amounts, and organize this information neatly. For large enterprises, this kind of automated processing can save a lot of labor costs and reduce error rates.
Of course, UiBot’s AI capabilities are not only suitable for large enterprises; small companies can also benefit. For example, if you run a small e-commerce company that processes a large number of customer orders and inquiries daily, traditional RPA can assist with some simple order tasks, but customer inquiries often require manual responses.
Now, with the help of AI, RPA can identify common customer questions and respond automatically, while more complex issues can be escalated to human agents. This way, your customer service team can work more efficiently, reducing customer wait times and improving customer satisfaction.
Conclusion
In summary, the combination of RPA and AI brings more possibilities for enterprises. RPA is no longer limited to handling simple repetitive tasks but can also manage more complex scenarios that require cognition and judgment.
For enterprises, this not only means higher work efficiency but also lower costs and fewer errors. In the future, as AI technology continues to develop, the application scenarios for RPA will become even broader, and more enterprises will benefit from it.
Currently, there are many RPA communities in the market, but very few are free. Here, I recommend a free communication community where I will also share some valuable insights.
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