Financial Software Development

Your finance team is spending three days a month assembling management accounts from six spreadsheets that don't agree with each other.

The board meeting is in four days and the CFO still doesn't have final numbers. The budget-vs-actual report shows last month's actuals because this month hasn't been reconciled yet. Someone is manually copying figures from the ERP into a consolidation spreadsheet, adjusting for intercompany eliminations by hand, and hoping the formulas didn't break when a new cost centre was added.
We build custom financial software for finance and operations teams: FP&A platforms, management accounts automation, financial consolidation, treasury management, and budgeting systems. Connected to your ERP and existing data sources. Delivered at fixed cost.

See our work
  • FP&A platforms with driver-based forecasting, scenario analysis, and budget-vs-actuals with variance commentary

  • Management accounts delivered on a schedule without anyone assembling them, finance reviews and approves

  • Financial consolidation for multi-entity businesses with intercompany eliminations and currency translation

  • Treasury and cash management with cash flow forecasting, bank connectivity, and FX exposure tracking

  • ERP integration connecting to SAP, Oracle ERP Cloud, NetSuite, Microsoft Dynamics 365, Xero, and QuickBooks

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Recognition

Sound familiar?

  • Finance team spending three days every month assembling management accounts from six spreadsheets that don't agree with each other?

  • Budget-vs-actual reporting that shows last month's numbers when the board needs to make a decision about next month?

In short

RaftLabs builds custom financial software for finance and operations teams at established businesses. We build FP&A tools with driver-based forecasting and scenario analysis, management accounts automation that pulls from ERP and operational systems and delivers on a schedule, financial consolidation for multi-entity businesses with intercompany eliminations and IFRS/US GAAP support, treasury and cash management with bank connectivity and FX exposure tracking, and financial reporting systems with self-service drill-through. We connect to SAP, Oracle ERP Cloud, NetSuite, Microsoft Dynamics 365, Xero, and QuickBooks. AI applications include anomaly detection in financial data, variance commentary generation, and forecast model enhancement. Projects typically run $40,000--$120,000 at a fixed price and are delivered in 10--16 weeks. This is custom finance software for internal finance teams, not consumer-facing fintech.

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Vodafone
Nike
Microsoft
Cisco
T-Mobile
Aldi
Heineken
GE

The month-end close problem

Finance teams at $10M--$200M businesses spend more time on data assembly than on analysis. The management accounts take three days because someone is manually pulling trial balances from the ERP, copying them into the consolidation spreadsheet, adjusting for intercompany sales, converting currencies by hand, and reconciling the result to the bank statements.

That process is not finance. It is data plumbing that software should handle.

Custom financial software replaces the manual assembly steps with automated data pipelines, applies your mapping rules and consolidation logic programmatically, and delivers the output on a schedule. The finance team does the work that requires judgment: reviewing variances, approving exceptions, making the call on the numbers. Not building the spreadsheet.

Capabilities

What we build

FP&A and budgeting platforms

Multi-entity budget models with driver-based forecasting, scenario analysis, rolling forecasts, and version management, covering budget, latest estimate, and actuals in one system. The Excel model that breaks when someone adds a cost centre or changes the entity structure is replaced by software that enforces the model structure and recalculates automatically. Budget entry workflows route to the right budget owner for each cost centre and entity. Approval workflows track submission and sign-off status across the organisation so the CFO has a single view of consolidation progress without chasing emails. Scenario analysis lets the finance team model best case, base case, and downside scenarios simultaneously, with a configurable set of driver assumptions per scenario and automatic recalculation of the P&L, balance sheet, and cash flow implications. Variance commentary workflows: the system calculates the variance between budget and actuals for each line, identifies the largest contributors, and presents the commentary template to the analyst. The analyst writes the narrative with the data already in front of them. Rolling forecast replaces the annual budget cycle with a continuous forward view, updating the forecast as actuals land and recalculating the full-year projection based on current run rates and adjusted driver assumptions. Version management stores every version of the budget and forecast with a timestamp and owner so the board can see the May forecast, the June reforecast, and the current view in one place without rebuilding from email attachments.

Management accounts automation

Management accounts delivered on a configured schedule without anyone assembling them manually. The system pulls data from your ERP, bank feeds, and operational systems, applies your defined mapping rules to translate general ledger codes into your management reporting structure, calculates the P&L, balance sheet, and cash flow statement, produces variance analysis against budget and prior period, and formats the output in your configured management pack template. The finance team receives the draft pack, reviews the variances, writes any commentary the AI layer has not already drafted, and approves. They do not touch a spreadsheet to produce the numbers. Mapping rules are documented and version-controlled: when your chart of accounts changes or a new cost centre is added, the rules are updated in one place and the change flows through to all future packs. Commentary automation: the system generates first-draft variance commentary for the largest line movements based on the data, reducing the time spent on the narrative from two hours to a review and edit. Exceptions and reconciling items are flagged automatically with the source transaction for the finance team to resolve. Historical packs are stored and searchable so an auditor asking for the June 2024 management accounts gets the approved pack, not a file on someone's desktop.

Financial consolidation

Multi-entity financial consolidation with intercompany eliminations, currency translation, and minority interest calculations, replacing the month-end spreadsheet process that takes 2--3 days and requires the same finance team member every cycle. The system connects to each ERP instance, pulls trial balances at period end, applies your defined chart of accounts mapping, runs the intercompany elimination journal entries, translates subsidiary financials to presentation currency using the correct rate for each line (closing rate for balance sheet items, average rate for income statement items, historical rate for equity), and calculates minority interest where entities are not wholly owned. Intercompany mismatch detection: the system flags intercompany receivable and payable balances that do not reconcile across entities before the consolidation runs, so the finance team resolves differences in the data rather than in the consolidated output. IFRS and US GAAP consolidation rules are configurable: the system enforces the correct treatment for each applicable standard. Consolidation audit trail: every journal entry, elimination, and currency translation applied to produce the consolidated accounts is logged with the rule that triggered it. The auditor does not need to reconstruct the consolidation from a spreadsheet, the system shows every step.

Treasury and cash management

Cash flow forecasting, bank account management, cash positioning, FX exposure tracking, and payment approval workflows in one system. The cash flow forecast pulls from accounts receivable aging (invoices due and expected collection dates), accounts payable (invoices approved for payment and due dates), payroll schedules, and recurring commitment data, producing a 13-week rolling cash forecast that updates as new invoices are approved and collections land. Bank account management connects to your bank accounts via SWIFT or open banking APIs, pulling daily closing balances and transaction data. Cash positioning dashboard shows the consolidated cash position across all bank accounts and entities in real time, with currency-by-currency breakdown and the equivalent in your functional currency at current spot rates. FX exposure tracking: the system calculates net exposure in each currency based on your AR, AP, and committed cash flows, producing a daily exposure report and alerting when a position exceeds a configured threshold. Payment approval workflows route payment batches to the correct signatories based on the payment amount, the account, and the counterparty, with a full approval trail before bank submission. Bank connectivity for payment submission via SWIFT MT101/MT103 or open banking payment APIs.

Financial reporting and analytics

Self-service financial reporting for finance team members and business unit leaders, with drill-through from the summary P&L to the underlying transactions. Business unit heads see their entity's P&L and cost centre breakdown. Finance directors see the consolidated view with entity drill-down. The CFO sees group P&L, cash position, and key ratios in a single dashboard. Every figure links back to the source transaction. Scheduled report delivery: configured recipients receive the weekly flash report, monthly management summary, and quarterly board pack on their configured schedule without anyone triggering it. Reports are formatted to your template and delivered as PDF or Excel. Variance analysis is calculated and formatted automatically; commentary can be added directly in the report workflow before delivery. Connection to existing BI tools: if you have Power BI, Tableau, or Looker, the financial data model we build acts as the semantic layer. The BI tool reads from the curated financial data model with agreed metric definitions rather than querying raw ERP tables. Budget-vs-actuals charts, KPI trend views, and rolling forecast visualisations are configured per dashboard and refresh automatically as new data lands.

ERP and data integration

Connecting financial software to your ERP and accounting systems with incremental data extraction so reports reflect today's numbers, not yesterday's batch. NetSuite integration via SuiteAnalytics Connect or REST API, extracting trial balance, transaction detail, and subsidiary data. Oracle ERP Cloud via SOAP/REST APIs with scheduled incremental extraction. SAP S/4HANA and SAP ECC via RFC function modules, BAPIs, or OData services depending on your system version and available interfaces. Microsoft Dynamics 365 Finance via OData REST API with configurable entity extraction. Xero and QuickBooks via their REST APIs for businesses on mid-market accounting platforms. General ledger mapping: every integration includes documented mapping from your chart of accounts and cost centre hierarchy to your management reporting structure. When the ERP code changes, the mapping is updated in one place. Multi-system consolidation: businesses with different ERP systems in different entities get a single extraction and mapping layer that normalises the data into a consistent model before the reporting layer reads it. Data latency configuration: for operational dashboards needing intraday data, we configure near-real-time extraction. For financial reporting where intraday variance is noise, daily batch extraction is the correct choice and reduces integration complexity.

Finance team spending more time building the pack than reading it?

Tell us your current month-end process and what it costs in hours and errors. We will scope a system that delivers the numbers automatically and gives your team time back.

Frequently asked questions

Off-the-shelf FP&A platforms are built for the general case. They work well when your planning structure, chart of accounts, and reporting hierarchy fit their data model. When your business has a complex management reporting structure that does not map cleanly to the standard dimensions, entity hierarchies that don't match how the platform models organisations, or calculation logic that requires workarounds the platform was not designed for, the implementation cost and ongoing maintenance burden of a SaaS platform can exceed the cost of building something that fits exactly. The other case for custom is integration depth. Anaplan and Adaptive integrate with common ERP systems, but the mapping work between your general ledger codes and your management reporting structure requires significant configuration in any platform. Custom financial software encodes those mapping rules directly into the data model, so there is no translation layer to maintain. That said, we do not recommend custom by default. If your requirements are standard and the SaaS platform fits, buy the SaaS platform. We tell you which one fits before you commit to building anything.

Integration complexity depends on your ERP and what data you need. NetSuite, Xero, and QuickBooks have well-documented REST APIs and the integration work is straightforward, typically 2--4 weeks including data mapping and testing. Microsoft Dynamics 365 Finance and Oracle ERP Cloud have more complex APIs and require more mapping work, 4--8 weeks. SAP S/4HANA and SAP ECC integrations range from straightforward via RFC function modules to complex depending on which modules you use and whether your system is heavily customised, 4--12 weeks. The mapping work is where most time goes: translating your general ledger account codes and cost centres into your management reporting structure requires documented logic, and that logic usually lives in someone's head or in a spreadsheet. We extract and document that logic as part of the integration design phase so it is auditable and maintainable, not embedded in a formula chain.

Multi-entity consolidation requires eliminating intercompany transactions (sales between entities within the group), translating subsidiary financials from local currency to presentation currency using the correct rate (closing rate for balance sheet, average rate for income statement, historical rate for equity), and calculating minority interest where you do not own 100% of a subsidiary. In practice, most consolidations at $10M--$200M businesses run in a spreadsheet that someone updates at month end, pulling trial balances from multiple ERP instances, applying elimination journals manually, and reconciling the result. The process takes 2--3 days and requires the same person every month because no one else knows how the spreadsheet works. We replace that process with software that pulls trial balances from each ERP instance, applies your defined elimination rules and currency translations automatically, flags intercompany mismatches for review, and produces the consolidated accounts in your configured template. The finance team reviews the output and approves exceptions, they do not build it. We support IFRS and US GAAP consolidation rules.

A focused FP&A system covering budget entry, driver-based forecasting, and budget-vs-actuals reporting for a single entity typically runs $40,000--$65,000. Management accounts automation for a single entity with one ERP integration runs $35,000--$55,000. Multi-entity consolidation with two to five ERP sources and currency translation runs $60,000--$95,000. Treasury and cash management with bank connectivity and FX exposure tracking runs $45,000--$80,000. A full finance software suite covering FP&A, management reporting, consolidation, and treasury integration for a mid-size multi-entity business runs $90,000--$120,000. These ranges widen with the number of entities, the complexity of ERP integrations, and the extent of AI features. We assess your current process, data sources, and reporting requirements before pricing. Every project is fixed cost.

Three AI applications have clear ROI in financial software. Variance commentary generation: rather than a finance analyst writing 'revenue was $200K below budget due to lower volume in the enterprise segment,' an AI layer reads the variance in the data, identifies the contributing factors, and drafts the commentary in your preferred format. The analyst reviews and edits rather than starting from a blank page. Anomaly detection in financial data: an AI model trained on your historical financial patterns flags transactions, journal entries, or balance movements that fall outside expected ranges, catching errors and fraud signals earlier than a monthly review. Forecast model enhancement: AI identifies which drivers in your historical data have the strongest correlation with outcomes, improving the accuracy of driver-based forecasts in the FP&A system. We scope AI features separately and add them to the base system once the underlying data layer is sound. AI on bad data produces wrong answers confidently, so we get the data foundation right first.

Financial software sits on sensitive data and needs controls from the start, not retrofitted later. Role-based access control: finance directors see consolidated group P&L; business unit heads see only their entity; AP clerks see invoice queues, not balance sheet data. Every permission set is defined in the design phase and enforced at the API layer, not just the UI. Audit trail: every data change, journal entry, approval action, and exception override is logged with timestamp, user identity, and the previous value. This is not optional for financial software. It is the record that answers an auditor's question about why a number changed. Data residency: if your business operates in the UK or EU, financial data stays in the configured region. We design the infrastructure for the residency requirements your auditors and regulators expect. Encryption at rest and in transit on all financial data as a baseline. We walk through the control framework with your finance and IT teams during the design phase so the software passes internal audit review.

A focused single-scope project, management accounts automation for a single entity, or an FP&A system for one business unit, typically runs 10--14 weeks from project start to go-live. Multi-entity consolidation or a full finance suite runs 14--20 weeks depending on the number of ERP integrations and the complexity of the reporting structure. The timeline breaks into three phases: design and data mapping (3--4 weeks), where we document the reporting requirements, map the general ledger to management structure, and design the data model; build and integration (5--10 weeks), where we build the system, connect the integrations, and load historical data; and testing and parallel run (2--4 weeks), where the finance team runs the new system alongside the existing process to validate the numbers before switching. We do not skip the parallel run. The point at which finance trusts the system is when they have seen it produce the same numbers as their manual process three months in a row.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Financial Software Development 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.