Fordel StudiosFinancial Document Processor
Extracts, validates, and posts financial documents without manual data entry.
The problem
being solved
An accounting firm processing documents for 100+ clients handles thousands of statements, invoices, receipts, and tax documents monthly. Staff manually extract transactions, match invoices to POs, categorize expenses, and compile for tax prep. Errors compound through the reporting chain.
Month-end close requires reconciling across sources: bank balances matching ledger entries, invoice totals reconciling with AP, tax withholding tying across payroll and filings. Manual reconciliation is time-consuming and error-prone.
Peaks during tax season and audit prep, when the same staff handle ongoing processing plus compilation and verification.
How this
agent works
Type-aware extraction pipeline. Bank statements: transaction dates, descriptions, amounts, running balances, auto-categorization. Invoices: vendor, line items, totals, tax, payment terms. Receipts: merchant, date, items, amounts. Tax forms: form-specific fields.
Automated reconciliation: matching bank transactions to invoices, identifying unreconciled items, detecting duplicates, flagging discrepancies. Rules configurable per client — tolerances, categorization, exception handling aligned with each chart of accounts.
Data feeds directly into QuickBooks, Xero, or Sage. Audit trail linking every data point to source document.
Document ingestion runs through LayoutLM, a transformer trained on document structure, so it handles PDFs, scanned images, and mixed-format batches without per-template fragility. Extraction logic is type-aware: statements yield transaction rows, invoices yield line items, tax forms yield field-mapped values — all normalized into PostgreSQL. Celery manages async processing queues so large batches don't block; Redis handles deduplication state across runs. A senior engineer at Fordel configures the extraction profiles, reconciliation rules, and accounting chart-of-accounts mapping for your specific setup. End-to-end setup takes 2–3 weeks.
- 01
Type-Aware Extraction
LayoutLM reads document structure — not just text — so it correctly identifies transaction tables in a bank statement, line items in an invoice, and field positions in a tax form. Works across PDF, photographed receipts, and scanned multi-page documents without separate templates per format.
- 02
Automated Reconciliation
Matching logic runs per client: invoices are matched to payments by amount, date range, and vendor ID; duplicates are flagged before posting. Discrepancies above configurable thresholds get routed to a review queue rather than silently dropped.
- 03
Accounting System Integration
Direct API integration with QuickBooks Online, Xero, and Sage — not CSV exports. Records are mapped to your chart of accounts with client-specific categorization rules, so postings land in the right cost centers without manual cleanup.
- 04
Audit-Ready Trail
Every extracted value links back to its source document, page, and bounding region. When an auditor or client questions a posted transaction, you can pull the exact source in seconds — without searching through original files.
Build this agent
for your workflow.
We custom-build each agent to fit your data, your rules, and your existing systems.
Free 30-min scoping call