Automated Document Posting
Why Automate Document Posting?
Automated document posting reduces manual data entry, improves quality and frees up time for analysis. ReAI combines machine learning, a rules engine and human oversight so that discrepancies are caught before they affect reporting. Correct setup means the trial balance is always up to date and ready for the checks covered in the accounting course .
Data Sources and Enrichment
| Source Type | Example Data | Automated Controls |
|---|---|---|
| Bank feeds | Statements, incoming payments | Matching against open items and payment references |
| Supplier invoices | Peppol e-invoices, PDF | Validation with invoice reader |
| Receipt data | Mobile receipts, POS systems, corporate cards | Control routines via digital receipt handling |
| Payroll transactions | RTI submissions, payroll files | Reconciliation against employer National Insurance contributions |
| Project data | Timesheets, cost centres | Accruals and allocation keys |
The AI classifies documents based on previous controls and machine learning. Discrepancies are sent for manual review with context, so the controller can document the decision directly in the workflow.
Process Flow
- Ingest document data via API, e-invoice, bank integration or import
- ReAI suggests the nominal code, VAT code and dimensions based on history
- The system inserts a control step with dual approval where role-based access control is required
- Approved documents are posted and synchronised with the sub-ledger while reconciliation lists are updated
- Discrepancies and uncertain suggestions are sent to senior staff with reasoning and recommended actions
Control Points You Need in Place
- Define tolerance thresholds for discrepancies, for example amounts or new suppliers
- Create rules for when documents should be held for manual review
- Monitor KPIs such as error rate in the document flow and benchmark against the figures in the KPI guide
- Maintain a change log so auditors can trace posting amendments
- Update checklists in line with new requirements under UK accounting regulations
Implementation in ReAI
- Analysis phase: Identify which document types generate the highest volume and the greatest benefit from automation
- Pilot: Use a limited scope, for example expense claims, and compare the results manually
- Rollout: Scale to additional document types, combined with training and updated procedure notes
- Continuous improvement: Use feedback and system logs to retrain the model