Automate Your PDF Processing with the AI Agent
Upload a bundle of PDFs and let the AI Agent do the rest — it categorises and splits your documents into Sales, Expenses and Bank Statements, extracts the data, records each entry against the correct chart of account, and learns from your patterns with every correction. You stay in control: review the prepared entries, confirm, and you are done.
How Does the PDF Bundle Upload and Smart Categorisation Work?
Drop in multiple PDFs at once; the system sorts them into clear document types ready for processing.
Users simply upload a collection of PDF files, including scanned documents and multi-page bundles. The platform analyses content and layout to classify each document, even when image quality is low or several document types appear within a single file. It then splits the bundle into logical groups such as sales invoices, expense receipts, bank statements and supporting papers. In practice, we help clients turn stacks of mixed supplier and customer PDFs into structured sets as part of the upload step, ready for extraction.
1. What Document Types Are Identified?
The system recognises sales invoices, expense receipts, bank statements and supporting papers. Each group moves forward with the right processing rules applied, removing the need to open and file every document by hand.
2. Why Does Early Categorisation Matter for Record Retention?
According to ACRA, every Singapore company must keep accounting records for at least 5 years from the financial year end. Organising documents into clear categories at the point of upload makes this retention far more manageable and ensures a cleaner inbox with faster progression from raw files to organised accounting data.
How Are Data Extraction and Automated Entry Recording Performed?
Key fields are read and turned into draft sales or expense entries matched to your chart of accounts.
After categorisation, the AI agent moves into extraction and draft entry preparation. According to IRAS, proper records must be kept in a manner that enables the accurate preparation of financial statements. This automated income and expense tracking directly supports this standard. The steps below show how this works in practice. Each extracted entry remains a draft until you review and confirm it before posting.
1. How Key Fields Are Read from Documents
The system extracts dates, amounts, parties, tax details and line items from sales and expense documents, replacing manual keying and capturing the data needed for accurate postings.
2. How Entries Are Matched to Your Chart of Accounts
Based on your existing chart of accounts structure, the system proposes the correct accounts for each entry. Double-entry logic is applied consistently and items needing a quick human check are flagged for review.
3. How the System Learns and Improves Over Time
Over successive uses the system observes how your team adjusts classifications and improves future suggestions. Bank statement PDFs can also enter the flow for later matching with related automation features.
How Do Pattern Learning and Exception Controls Work?
The agent improves with every confirmation and keeps you in control of exceptions.
The three steps below detail how pattern learning, exception handling and override controls work together.
1. How Does Pattern Learning Work?
Each time you accept, edit or reclassify an entry the system notes the pattern. Future documents from the same suppliers or of similar type receive stronger default suggestions, making the process more precise for your firm or client portfolio.
2. How Are Exceptions Surfaced and Handled?
When confidence is low or data is incomplete, clear exceptions are surfaced. You can review, adjust the account mapping, add remarks or create the entry manually. All actions remain traceable for reviewers and auditors.
3. What Override and Lock Controls Are Available?
Controls include the ability to override suggestions, lock certain account rules and maintain separation between automated proposals and final posted books.
Manual Document Handling vs AI Agent Processing
| Aspect | Traditional Manual Approach | With AI Agent |
|---|---|---|
| Document intake | Open and sort each PDF individually | Upload mixed bundle; automatic categorisation and split |
| Data capture | Key amounts, dates and parties by hand | Extract key fields from sales and expense PDFs |
| Account coding | Select chart of accounts codes every time | Propose matches based on history and learn patterns |
| Time per batch | Hours of repetitive work | Minutes of upload plus light review |
| Error risk | Higher chance of keying and coding mistakes | Consistent logic with exception flags for review |
| Scalability | Linear increase in staff effort | Handles growing volumes with the same core process |
How Do You Start Using the Automated System for PDF Processing?
Start with one bundle upload and let the platform handle the rest from categorisation through draft entry preparation.
The typical flow begins with a single PDF bundle upload. Files are categorised and split, then data is extracted from sales and expenses. Proposed draft entries are matched to your chart of accounts, and the system learns from any adjustments you make. Once you review and confirm them, entries land in the ledgers ready for reporting and reconciliation.
Bank-related PDFs integrate smoothly with existing bank automation on the platform. For a small business processing 100-500 transactions per month, the whole cycle moves from upload to confirmed entries with only a light review step before posting, based on our experience with client batches of this size rather than the hours manual keying would require.
The comparison table summarises the key differences between traditional manual handling and automated processing across intake, data capture, account coding, time, error risk and scalability. You can also explore related approaches to leveraging AI for transaction management that complement this workflow.
What Does the Quick-Start Workflow Look Like at a Glance?
A four-step summary covers the essential actions from first upload to posted entries.
- Upload your mixed PDF bundle.
- Review the system's categorised Sales, Expenses and Bank Statements.
- Confirm the extracted draft entries and resolve any exceptions.
- Post the entries and let the intelligent assistant learn from your review.
Ready to automate document-to-entry work?
See how the AI Agent fits your firm’s workflow and start a conversation with our team.
