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Detect and validate invoice data automatically, reducing processing times and minimizing errors compared to manual methods.

Type of AI solution: AI agent that does not include a chatbot (it is possible to integrate a conversational interface or AI chatbot, if required)

Traditional process: Manual invoice processing involves the accounts payable team receiving documents in various formats, such as PDF or paper, and manually extracting key information like invoice numbers, amounts, and supplier data. Then, they must validate this information against purchase orders and record the data in the ERP system. This approach, besides being laborious and prone to errors, can delay the payment flow and generate operational inefficiencies.

Application of RPA with human control:

1. Invoice reception and digitization: An RPA bot automatically detects and organizes invoices received by email or scans paper documents, transforming them into standardized digital formats for processing.
2. Extraction and preliminary validation: Using advanced technologies like OCR (optical character recognition), the bot extracts relevant data, such as invoice number, date, amount, etc.
3. Discrepancy management: If the bot detects discrepancies, such as inconsistencies between the invoice and the purchase order, it generates an automatic notification for the human manager, who efficiently evaluates and resolves the problem.
4. Registration and update in ERP systems: Once validated, the data is automatically entered into the ERP system, eliminating the need for manual tasks and ensuring accuracy in accounting records.
5. Notification and follow-up: The bot automatically notifies stakeholders about the status of invoice processing, including details of scheduled payments and any resolved incidents.

Benefits:

• Reduction in processing time: Automation accelerates invoice handling, achieving an 80% reduction in the time required.
• Minimization of errors: By eliminating manual intervention in repetitive tasks, the probability of administrative errors is significantly reduced.
• Optimization of payment flow: A more agile and precise processing allows the company to meet payment deadlines, improve supplier relationships, and avoid penalties for delays.
• Liberation of human resources: Employees can focus on strategic activities, such as financial analysis and supplier relationship management.

Conclusion: Implementing an RPA bot for the accounting automation of invoices represents a transformative change for companies that handle high volumes of documents. By automating routine tasks and combining technological precision with human supervision at key points, a robust, efficient, and highly reliable system is achieved.