Automating PDF Invoices with AIV Office for Accounting Teams

18/10/2026

Initial Expectations vs. Reality

Many finance managers assume that installing AIV Office will ensure immediate, seamless operation. They expect the AI assistant Hanna to automatically scan legacy archives and classify 100% of invoices from previous years with perfect accuracy. In reality, the outcome is often quite different. The software cannot process low-quality scanned PDFs or blurry handwritten invoices. Deployment is not a magic solution; it is a process of data cleansing and workflow retraining. If expectations are misaligned from the start, the accounting team will spend excessive time verifying every line item, resulting in lower efficiency than manual processing.

Preparing Input Data Before Testing

This step determines 80% of the system's success. Before feeding invoices into AIV Office, you must prepare a clean data source. The required input consists of electronic invoice PDFs or paper invoice scans with sufficient resolution. The task involves re-categorizing files by month or invoice type (purchase, sales, internal). Avoid mixing invoices and payment vouchers in the same directory. The visible output is clearly defined subdirectories, with each file named according to a unified convention. This step is complete when you randomly open 10 files and all basic content is readable without excessive zooming.

Deploying AI Assistant Hanna in the Accounting Workflow

This stage involves integrating the office AI assistant into your current workflow. The task is to identify the data fields required for extraction: invoice code, issue date, seller, total amount, and tax amount. In AIV Office, Hanna helps read PDF content and populate spreadsheets or input forms. You should start with a small group, such as 50 simple invoices. Do not attempt to process the entire data repository immediately. Hanna can summarize documents and analyze spreadsheets, but it requires human supervision in the initial phase. The visible output is data tables automatically populated from PDF files. This step is complete when the accuracy rate of key data fields exceeds 95% after random checks.

Quick Answers

Can Hanna process handwritten invoices?

The AI assistant Hanna works best with printed text or clear scans. Accuracy drops significantly for blurry handwritten invoices. You should re-digitize or manually enter key fields if the scan quality is too poor.

Do I need to change my existing accounting software?

Not necessarily. AIV Office is a web-based office suite, and Hanna can export data to Excel or CSV files. You can paste this data into your current accounting software. Deeper integration depends on the API capabilities of your existing system.

How often should data be verified?

In the initial phase, 100% of data should be checked. Once the system stabilizes, you can switch to random checks of approximately 10-20% per batch. This ratio can be adjusted based on Hanna's actual reliability.

Monitoring and Adjustment After Live Operation

After the system has been running for a few weeks, you will notice recurring errors. For example, a specific supplier may always use a different invoice format, causing Hanna to misread dates. The task is to log these error cases and adjust recognition rules. AIV Office allows you to save error patterns so Hanna can learn from them in future processing. The visible output is a decreasing error rate each month. This step is complete when the average processing time per invoice drops to a few minutes, compared to the previous tens of minutes. This is when you see the true value of office automation.

What Remains Unresolved?

Although the AI assistant Hanna reduces data entry workload, it cannot yet handle complex exceptions such as invoices with printing errors or specific construction industry documents with multiple appendices. You still need an experienced accounting team for final reconciliation and approval. Additionally, financial data security remains a top priority. You must ensure that PDF files and extracted data are stored in accordance with your company's security policies. AIVISION is one of Vietnam's leading AI companies, supporting businesses through this transformation. However, technology is merely a tool; people are the decisive factor in final data quality. Start small, measure carefully, and scale gradually once you trust the process.

If you are weighing up a similar project, our team can help you scope it before you spend anything. See what we build or book a conversation.