AI-OCR data extraction for a multi-site operator
- 20K+
- transactions extracted in a single day in testing
RPA in Finance | Finance Process Automation
RPA in finance that compresses your close and clears the AP backlog.
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 for finance operations: accounts payable, financial reconciliation, period-end close support, and regulatory reporting. Your finance team gets back the hours that manual keying eats, and spends them on the decisions that need 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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4.9
on ClutchThe problem
Sound familiar?
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
RPA in finance uses software bots to run high-volume, rule-based work: accounts payable, invoice matching, bank reconciliation, period-end close, and regulatory reporting. Gartner estimates RPA saves finance departments 25,000 hours of avoidable rework a year (Gartner, 2019). RaftLabs builds finance RPA with a full audit trail. A first process starts around $20,000 and goes live in 8-12 weeks.
Key takeaways
- A focused finance RPA system automating one process runs $20,000-$50,000 at a fixed cost
- Multi-process programmes covering accounts payable, reconciliation, and period-end close run $50,000-$130,000
- Most finance automation projects deliver in 8-12 weeks
- Integrates with SAP, Oracle Financials, Microsoft Dynamics 365, NetSuite, Xero, and QuickBooks
- Every bot action is logged for audit-ready output, making compliance a built-in feature not an afterthought
- Period-end close cycles of 8-10 business days typically compress to 4-6 days after automation
Trusted by
Close week, and the reconciliation still isn't done.
Day three of the close. Two people are still matching bank statement lines to ledger entries by hand, the same way they did last month and the month before. The invoice backlog is a week deep, and a supplier just called about a payment that should have cleared already.
None of that work needs judgment. It needs matching, posting, and a record of what happened. A bot does all three overnight, and logs every step for the auditor.
What reaches your team is the exception, not the queue.
Finance RPA cuts cost, errors, and close time at once
Keying invoices by hand costs more per document than a bot does. Hand-matched reconciliations hide errors that take days to find. A close run off spreadsheets and memory drags on and piles pressure into the last 48 hours.
One root cause sits under all three: people doing repetitive, rule-based transaction work. Take that work off their desk and the cost, the error rate, and the close cycle all move together.
Gartner estimates RPA saves finance departments 25,000 hours of avoidable rework a year, most of it caused by human error in manual processing (Gartner, 2019). For accounts payable and reconciliation teams, those hours go straight back into a faster close and fewer late-payment penalties.
Proof
- Since 2015
- shipping production software, including document-extraction and finance automation systems
- RaftLabs delivery record
- 4.9/5
- average client rating across delivered projects
- Clutch, verified reviews
- Process-first
- we map the workflow and scope the bots before building, so automation replaces the steps that actually cost time
- Every finance RPA build
Finance RPA pays off when the work is high-volume and the rules are yours.
Everything on the left should already be true for your finance operation. Even one thing on the right, and manual processing is still the smarter path for now.
A fit
01
High-volume, rule-based finance work: accounts payable, reconciliation, or period-end close your team runs the same way every cycle.
02
An ERP or accounting system (SAP, Oracle Financials, NetSuite, Dynamics 365, Xero, or QuickBooks) that holds your financial data.
03
A close cycle or invoice backlog long enough that manual processing is costing you time and late-payment penalties.
Not a fit
- Low transaction volume, where manual processing is still faster than building and maintaining automation.
- Processes that change every cycle and depend on financial judgment, not repeatable rules.
- No single source of truth for your financial data yet.
What we build
Finance processes we automate
- 01Accounts payable automationEnd-to-end AP automation, from invoice receipt to ERP posting and payment-batch prep. AI document extraction pulls vendor, invoice number, line items, and tax from PDF, email, and EDI files. Three-way matching then checks each one against the purchase order and goods receipt in your ERP. Clean matches post automatically; the rest route to the buyer who owns them. Built against SAP, Oracle, NetSuite, and Dynamics 365.
- 02Bank and ledger reconciliationAutomated matching of bank statement transactions to general ledger entries, eliminating the manual comparison work that consumes finance time during monthly close. Statement files (MT940, CAMT.053, CSV) are ingested and matched against your ERP ledger using configurable rules; low-confidence matches are flagged for human review; 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.
- 03Period-end close automationAutomated 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.
- 04Regulatory reportingAutomated 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.
- 05Financial data extraction and processingAutomated extraction of financial data from every source your team pulls manually: bank statement files, supplier invoices, expense reports (Concur, Expensify), payroll journals, and payment processor feeds (Stripe, Adyen, PayPal). 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.
- 06Management reportingAutomated 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.
Which finance process consumes the most team time?
Walk us through the process, your current systems, and transaction volume. We'll design the automation and give you a fixed cost.
The bot that reads and posts a gas-station operator's transactions is the same document-extraction engine we point at supplier invoices and bank statements. Where you land in the price range below depends on scope, not negotiation:
- Focused automation, $20,000-$50,000
- One process automated end to end (for example, AP invoice matching and approval routing), including bot development, testing in your environment, and deployment, in 8-12 weeks.
- Multi-process programme, $50,000-$130,000
- Accounts payable, reconciliation, and period-end close automated together, with the exception handling scoped to your ERP complexity.
What it costs
Finance RPA, starting at $20,000.
One process or a multi-process programme across AP, reconciliation, and period-end close, with audit logging built in from the start.
Starts at $20,000
Most finance automation processes deliver in 8-12 weeks. Start with one process, prove the time savings, then expand into a multi-process programme.
Every bot action is logged, so compliance is a built-in feature, not an afterthought.
No hourly billing
Once we scope your first process, that price is locked in writing. No hourly billing, no change fees you didn't agree to first.
Audit-ready by default
Every step a bot takes is logged: what data was accessed, what decision was made, what system was updated, and when. Compliance is built in, not bolted on after the fact.
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Read moreFrequently asked questions
The 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 has to 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 carry the matching logic and any manual overrides. Period-end close automation keeps a timestamped record of each task. For teams under SOX Section 404, this matters twice over. A bot enforces segregation of duties and approval thresholds the same way every run, and the log becomes the control evidence an external auditor asks for, without staff reconstructing what they did after the fact. We build the audit trail 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
Tell us what you need. We'll tell you what it would take.
We scope RPA in Finance in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.