Introduction of digital workers (Robotic Desktop Automation)

• Increased efficiency: Digital workers can work 24/7 without the need for breaks or vacations, resulting in increased efficiency and productivity. They can perform repetitive tasks such as data entry and customer service inquiries without making errors.
  
  
• Cost-effective: Digital workers can complete tasks much faster than humans, which can lead to cost savings in the long run.
  
  
• Easy to deploy: Can be integrated with existing systems and software, and they do not require any changes to the existing infrastructure, making it easier for businesses to adopt them.
  
  
• Scalability: Digital workers can be scaled up or down depending on business needs.
  
  
• Data accuracy: high level of accuracy, reducing the likelihood of errors. This can lead to improved data quality and reduced risk of compliance issues.
  
  
• Improved employee satisfaction: By automating repetitive tasks, employees can focus on more complex tasks that require human input and creativity. This can lead to improved job satisfaction and reduced employee turnover.

Implementation of object character recognition (OCR) and elements of artificial intelligence, in other words -- Invoice automation

• Data extraction: OCR technology is used to extract data from invoices. OCR algorithms recognize and convert scanned text into digital data. The extracted data is then used to populate fields in an automated accounting system.

• Data validation:  This helps to reduce errors and increase the accuracy of data extraction.

• Invoice matching: AI algorithms can be used to match invoices with purchase orders and receipts.
  
  
• Exception handling: AI algorithms can be used to handle exceptions, such as invoices with missing or incorrect data. These exceptions can be flagged and sent for review, reducing the need for manual intervention.
  
  
• Payment processing: AI algorithms can be used to process payments automatically based on invoice data. This helps to reduce the time and cost associated with manual payment processing.
  
  
• Analytics and reporting: AI algorithms can be used to analyze invoice data and generate reports on invoicing trends, supplier performance, and payment history. This information can be used to optimize the invoicing process and negotiate better supplier contracts.

Increased Efficiency

RPA bots can perform tasks at a much faster pace than humans, and they can work 24/7 without any breaks or interruptions. This can help organizations to complete tasks more quickly and reduce the time taken to complete processes.

Reduced Errors

RPA bots are programmed to follow rules and procedures accurately, which can help to reduce errors and inconsistencies that may occur when tasks are performed manually.

Cost Savings

RPA can help organizations to save costs by reducing the need for human resources to perform repetitive tasks. Additionally, RPA bots can work around the clock, eliminating the need for overtime pay or additional staffing.

Customer experience



By automating routine tasks, RPA can help employees to focus on higher-value tasks, such as providing better customer service. This can lead to an improved customer experience and increased customer satisfaction.