AI Services for Accounting that Solve "Electronic Bookkeeping Compliance"

Since 2024, storing electronic transaction data in its original electronic form has become mandatory in principle, and accounting staff are under pressure to figure out how to store PDF invoices and emailed receipts from business partners in a searchable format. Storing documents your own way without properly understanding the rules risks being flagged in a later tax audit. This page compares AI tools that help with compliance under Japan's Electronic Books Preservation Act.

What parts of the storage requirements can AI take over

What the Electronic Books Preservation Act requires is storage that's searchable by date, amount, and business partner, along with authenticity assurance such as timestamps. If AI-OCR automatically extracts a document's date, amount, and vendor name and reflects them in file names or an index, you can build a database that meets the searchability requirement without manual effort. Some tools also automatically collect and classify supporting documents scattered across email attachments and cloud storage, compressing the time spent on monthly document reconciliation.

Things to check when choosing a compliance tool

• Whether it can automatically build the indexing needed to meet the searchability requirements (date, amount, business partner)
• Whether it has features for ensuring authenticity, such as timestamping and retaining correction/deletion history
• Whether it integrates smoothly with your existing accounting or document-management systems
• Support for updates when regulations change, and for helping set up internal rules

For questions that hinge on how the storage requirements should be interpreted, we recommend ultimately confirming with a tax accountant or other qualified professional.