Finance & Accounting AI Automation

Why This Matters

Finance teams spend 60–70% of their time on data collection and formatting, not analysis. Invoice processing alone averages $12–$15 per document when done manually. AI brings this to under $0.10 per document with higher accuracy.

What Teams Use This For

• Invoice processing: extract vendor, amount, line items, due date
• Bank reconciliation: match transactions to ledger entries automatically
• Expense report processing: receipt OCR + policy compliance check
• Month-end close acceleration: auto-populate journals from source docs
• Audit preparation: flag anomalies, generate supporting schedules

What You Receive

• Document AI pipeline (invoice / receipt / statement ingestion)
• Extraction model fine-tuned on your document formats
• Validation rules engine (duplicate detection, policy check)
• ERP/accounting system integration (QuickBooks, Xero, SAP, custom)
• Exception dashboard for human review of edge cases

Project Packages

Fixed-price scopes with clear deliverables. No hourly billing surprises. Source code ownership transferred on all packages.

Stack Used

Proof of Delivery

Built AccountManager (GST-ready accounting software, India) and DEBMEDIA ERP (double-entry, multi-module). The accounting domain knowledge behind the AI — understanding debit/credit, reconciliation, and audit trails — is what separates this from a generic OCR service.