Automation of PDF invoice processing: How AI and Notion save time

Implemented a comprehensive automated solution for processing all electronic incoming and outgoing invoices. The system uses artificial intelligence (AI) to recognize and categorize data, automatically integrates it into Notion for accounting, and generates reports, freeing up valuable team time and eliminating errors. It also provides a flexible mechanism for uploading documents after deadlines, ensuring that financial records are complete and up-to-date.
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Routine that hinders development

The company was faced with a large volume of invoices arriving at the corporate Gmail on a daily basis. Manual processing of these documents was time and resource-consuming, resulting in:

 

Significant time and resource costs
Finance and operations staff spend a significant portion of their working time on routine operations, such as collecting, manually entering and verifying data from invoices, which distracts them from strategic tasks.
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High risk of data errors and inaccuracies
The human factor in manual data entry causes frequent errors and discrepancies in financial information, which negatively affects the accuracy of accounting and can lead to incorrect management decisions.
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Lack of a centralized management system
Without a single integrated platform for processing and storing invoices, the company faces data fragmentation, difficulty accessing information, and a lack of overall transparency of financial flows.
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Difficulties with operational financial reporting
Manual data processing slows down the process of generating the necessary financial reports, making them untimely and less valuable for quick decision-making and analysis of business performance indicators.
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Problems with flexibility and document uploading
The inability to flexibly upload missing documents after the established reporting periods led to additional manual control, excessive communication, and difficulties in finalizing the full package of documents.
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Intelligent automation with flexible deadline management

We have developed and successfully implemented an end-to-end business solution that provides full automation of the incoming and outgoing invoice processing cycle. This comprehensive solution, based on modern artificial intelligence (AI) technologies and integration of key business tools, allowed us not only to optimize routine financial processes, but also to introduce a flexible deadline management mechanism, which is critical for effective financial accounting and control.
Step 1: Automatic collection of invoices:

The system monitors incoming Gmail emails, automatically detecting and extracting PDF attachments.

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Efficiency and strategic focus

Thanks to the implementation of an intelligent invoice processing automation system, the business has achieved a tangible transformation in its financial processes. This solution not only radically changed the approach to document management, but also opened up new opportunities for operational efficiency and strategic development. An integrated approach to automation allowed us to achieve significant improvements that directly affected the productivity and quality of financial transactions.
Significantly reduce the time
It takes to process each invoice, freeing up staff from routine work.
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Increase the accuracy of financial data
Thanks to AI recognition, minimizing the risk of errors.
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Get instant access
To up-to-date and structured information about all invoices in Notion.
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Ensure timely and automatic generation of
All necessary financial reports
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Redirect the resources of the
Team to more strategic and valuable tasks instead of routine data entry.
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Increase the overall transparency of
And control over the company's financial flows.
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Provide flexibility in working with documents:
The ability to upload missing invoices within a set timeframe via Telegram ensures that the data is complete without excessive manual effort.
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Strengthen financial control:
The system independently finalizes the data after the 25th, ensuring discipline and clarity in reporting.
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