RPA in Finance | Finance Process Automation
Finance teams process high volumes of structured, rule-based transactions, invoice matching, bank reconciliation, accounts payable runs, period-end close tasks, and regulatory reporting. Most of this work follows the same logic every time. A bot executes it faster, with fewer errors, and with a complete audit trail.
We build robotic process automation systems for finance operations, accounts payable automation, financial reconciliation, period-end close support, and regulatory reporting, so your finance team focuses on analysis, decisions, and the work that requires financial judgment.
Accounts payable automation from invoice receipt to payment approval
Bank and financial reconciliation without manual matching
Period-end close task automation that compresses your close cycle
Regulatory reporting assembled automatically from your source systems
Recent outcomes
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The problem
Finance team spending close week manually reconciling transactions that a bot could match?
Invoice processing backlog delaying supplier payments and straining vendor relationships?
Short answer
RaftLabs builds robotic process automation systems for finance teams. We automate accounts payable processing, invoice matching and ERP posting, bank and ledger reconciliation, period-end close tasks, regulatory reporting assembly, and management report generation. Finance RPA eliminates the manual, rule-based transaction processing that blocks finance teams from analysis and decision-making. A focused finance automation for one process runs $20,000-$50,000. Multi-process programmes run $50,000-$130,000. Most projects deliver in 8-12 weeks at a fixed cost.
Key takeaways
Trusted by
Manual accounts payable processing costs more per invoice than automated processing. Manual reconciliation introduces errors that take time to find and fix. Manual period-end close takes longer and creates more last-minute pressure than an automated process would.
Finance RPA addresses all three at once, lower processing cost, fewer errors, and a faster close cycle, because the same root cause (manual, repetitive transaction processing) drives all three problems.
According to Gartner, robotic process automation can save finance departments 25,000 hours of avoidable rework annually and reduce error rates significantly across transaction-heavy processes. For accounts payable and reconciliation teams, that translates directly into faster close cycles and fewer late-payment penalties.
Capabilities
End-to-end AP automation from invoice receipt to ERP posting and payment batch preparation. AI document extraction pulls vendor, invoice number, line items, and tax from PDF, email, and EDI invoices, three-way matching compares each invoice against the purchase order and goods receipt in your ERP, and matched invoices post automatically while mismatches route to the responsible buyer.
Automated matching of bank statement transactions to general ledger entries, eliminating the manual comparison work that consumes finance time during monthly close. Statement files are ingested and matched against your ERP ledger using configurable rules, low-confidence matches are flagged for human review, and unmatched items generate an exception report with AI-suggested resolutions. The reconciliation that takes 2-3 days per bank account during close week runs overnight.
Automated execution of the repeatable period-end close sequence: accrual postings, depreciation runs, intercompany eliminations, prepayment amortisation, and currency revaluation. Each close task has an owner, a deadline, and a completion trigger, so the next dependent task unlocks automatically and dashboards show the controller what is complete, in progress, and overdue. A close cycle of 8-10 business days typically compresses to 4-6.
Automated assembly of regulatory submissions from your finance, risk, and operational systems, eliminating the manual compilation that occupies an analyst for days per reporting cycle. Transformation logic applies the calculation rules in your regulatory template (DSCR, CRR/CRD, Pillar 3, CCAR, FINREP), validation checks run before the output reaches the reviewer, and submission tracking logs every deadline, review, and filing date for regulatory examination.
Automated extraction of financial data from every source your team pulls manually: bank statement files, supplier invoices, expense reports, payroll journals, and payment processor feeds. Document AI handles unstructured PDFs where structured feeds are not available, and data loads into your ERP or data warehouse with the chart of accounts mapping your reporting requires. A pipeline that takes a finance analyst half a day runs in under 30 minutes.
Automated assembly of management reports, P&L by business unit, cash flow, balance sheet, and budget vs. actual variance, scheduled to land in inboxes before the Monday morning management meeting. Data pulls from your ERP, planning tool, and CRM, calculation logic encodes your firm's specific P&L structure and allocation rules, and output matches your existing board-ready format with commentary placeholders for the CFO.
Business Process Automation
End-to-end workflow automation across your operation.
Document Automation
Automated document generation, routing, and approval workflows.
Invoice Processing Automation
AI invoice intake, matching, and ERP posting.
Reporting Automation
Automated data pipelines replacing manually assembled reports.
Process, current systems, and transaction volume. We'll design the automation and give you a fixed cost.
How it works
The same four steps on every engagement. A 6-week voice AI deployment runs the same shape as a 16-week enterprise project.
We spend the first week understanding the problem, not presenting a solution. Discovery session, interviews with the people closest to the work, workflow mapping, and a technical audit of what you already have. You leave knowing exactly what's broken and why previous attempts didn't fix it.
Low-fidelity wireframes before any code is written. You see the product before we build it. Scope, timeline, and fixed price locked at this stage. No surprises after work starts.
Bi-weekly agile sprints. Weekly progress calls. Direct access to the team and project management tools. Working software at the end of every sprint. Not a big-bang delivery at the finish line.
Production deployment, QA sign-off, load testing, and team handover. You own the full codebase from day one. We stay on for post-launch iteration and support, then our growth team takes it to market. Nothing gets thrown over the wall.
Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.
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Read moreThe highest-value finance automation targets are high volume, rule-based, and involve structured data from identifiable sources. Top processes: accounts payable (invoice extraction, PO matching, approval routing, payment processing), bank reconciliation (matching bank statement transactions to ledger entries, flagging exceptions), intercompany reconciliation, period-end journal entry posting, tax data compilation for filing, regulatory report assembly (CRR, DSCR, Pillar 3, SEC filings), and management report generation. Processes with high error costs, regulatory submissions, tax filings, supplier payments, have the clearest automation ROI.
We integrate with ERP and accounting platforms via API, direct database access, or UI automation depending on what your system exposes. Common integrations: SAP (FI/CO modules), Oracle Financials, Microsoft Dynamics 365 Finance, NetSuite, Sage, Xero, and QuickBooks. For invoice processing, we typically combine document AI (extracting structured data from PDF invoices) with ERP integration (posting the extracted data to the correct accounts). The integration approach is determined during scoping based on your specific ERP version and data model.
RPA handles the straight-through cases automatically, the transactions that match, the invoices that have a PO, the reconciliation items that clear. Exceptions are flagged and routed to a human review queue with the context the reviewer needs to resolve them. A well-designed finance RPA system aims for 80-90% straight-through processing, with human effort focused on the 10-20% that requires judgment. The exception handling design is as important as the automation logic, we build both as part of the same system.
Finance automation must produce audit-ready output. Every bot action is logged, what data was accessed, what decision was made, what system was updated, and when. Reconciliation outputs include the matching logic and any manual overrides. Period-end close automation maintains a timestamped record of each close task. This audit trail is more complete and consistent than manual processes, which often rely on individual staff members remembering what they did and documenting it after the fact. We build audit logging as a core requirement, not an afterthought.
A focused finance automation system, one process automated (e.g., AP invoice matching and approval routing), including bot development, testing in your environment, and deployment, typically runs $20,000--$50,000. Multi-process programmes covering AP, reconciliation, and period-end close run $50,000--$130,000. Cost depends on the number of processes, ERP complexity, and the sophistication of the exception handling required. We scope every project before pricing it.
Work with us
We scope RPA in Finance in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.