Best usage-based billing software for fintech companies


Essential benchmarks showing how billing and finance automation can reduce close, reconciliation, and reporting work while cutting the manual work that keeps finance teams working late
The month-end close remains one of the most time-intensive processes in finance operations. While only 18% of teams close their books in three days or less, automation is rapidly changing what's possible. For companies with usage-based billing models, the complexity multiplies as finance teams must reconcile metered usage, calculate variable revenue, and ensure accurate invoicing before closing the period. This is where finance workflows built specifically for consumption-based billing become essential, supporting revenue recognition reporting, accounts receivable workflows, and invoice generation that otherwise add manual work to close.
Understanding where your organization stands relative to industry benchmarks helps identify improvement opportunities. The data reveals a wide performance gap between leading organizations and those still relying on manual processes.
The three-day close remains elusive for most organizations. According to Consero's 2025 Finance Leaders Survey, only 7% of companies close their books in under three days.
A major shift is underway. Finance teams completing close within nine days rose from 8% in 2024 to 62% in 2025. Consero attributes the acceleration to AI adoption and increased finance and accounting outsourcing.
Nearly one in five teams, or 18%, close their books in one to three business days.
Despite improvements, 50% of finance teams still require more than five business days to complete their month-end close.
The middle tier of finance organizations includes 32% of teams surveyed, which complete their close in four to five business days.
According to 2023 Ventana Research cited by Netgain, 58% of businesses take six days to close.
APQC's 2018 benchmark covering more than 2,300 organizations found a median cycle time of 6.4 calendar days. This older benchmark is useful historical context rather than a current 2026 industry median.
In APQC's 2018 benchmark, the top 25% of companies completed their close in 4.8 days or fewer.
On the other end of the spectrum, in the same 2018 APQC benchmark, the bottom 25% of organizations required 10 or more days to close. This extended timeline increases the risk of errors, delays financial reporting, and consumes significant staff resources.
According to Consero, most finance teams take 8-10 business days to complete the month-end close process. For organizations with complex billing models, including usage-based or hybrid pricing, metered usage and variable billing add additional reconciliation requirements that must be managed during close.
The month-end close consumes substantial staff time, with reconciliation, invoice processing, and manual data entry representing the largest time sinks. Understanding where hours are spent helps prioritize automation investments.
A Forbes Finance Council article cites Ledge's benchmark as roughly 72 business days a year consumed by repetitive reconciliations and reporting.
Teams spend an average of 20-50 hours each month on cash reconciliation.
Nearly half of accounting professionals report that their teams spend more than 10 hours each month preparing and uploading spreadsheet files. This manual data handling introduces error risk and delays the close cycle.
The close period creates a predictable crunch time, with 56% of accounting professionals reporting they work longer hours per day during month-end close. Netgain notes that these longer hours can lead to burnout.
Accounts payable workload remains substantial, with 63% of IFOL respondents spending more than 10 hours each week on invoice processing, up from 52% in 2024.
For finance teams surveyed by Ledge, cash reconciliation can require 20-50 hours each month.
Most teams surveyed by Ledge use 3-5 different systems to complete cash reconciliation. Each system handoff introduces manual work and potential for errors, extending the close timeline.
Despite the availability of purpose-built financial software, spreadsheets remain deeply embedded in most close processes. This dependency creates risk, slows cycles, and consumes staff time that could be directed toward higher-value analysis.
The near-universal reliance on Excel, with 94% of teams using it during close, indicates a significant opportunity for automation. While spreadsheets offer flexibility, they lack the controls and auditability required for financial accuracy.
50% of surveyed teams cite Excel as a key reason their close takes too long. Manual data entry, formula errors, and version control issues all contribute to extended timelines.
A 2018 Sales Compensation Administration Best Practices Survey reported that 80% of spreadsheets contained at least one error. The result comes from a sales-compensation context rather than a broad month-end-close sample. For financial close processes, spreadsheet errors can cascade through revenue recognition, accounts receivable aging, and financial statements.
Despite available automation, 66% of IFOL respondents reported that invoices are still manually keyed into their ERP or finance system. This manual keying creates errors, delays processing, and prevents finance teams from focusing on analysis.
In IFOL's 2025 study, 57% of respondents cited too much manual data entry as an AP process challenge. Automated billing systems that sync directly with ERPs can reduce this friction point.
Beyond technology limitations, organizational factors frequently extend close timelines. Cross-team dependencies, legacy system constraints, and staffing gaps all contribute to slower cycles.
56% of respondents cite dependency on other departments and regions as a blocker to faster close. Sales, operations, and product teams must provide data that finance needs to complete revenue recognition and invoicing.
System fragmentation remains a major challenge, with 40% of respondents identifying legacy systems that do not integrate as a close blocker. Companies using billing platforms with native ERP integrations, like Orb's NetSuite integration, can reduce manual handoffs and keep billing records aligned with existing NetSuite accounting workflows.
37% of respondents cite understaffing or capacity gaps as a blocker to faster close. This constraint makes automation especially valuable because it allows existing staff to accomplish more without additional headcount.
In Ardent Partners' 2026 State of AP research, 48% cited slow invoice and payment approvals as a top AP challenge. Automated invoice generation and approval routing can reduce this delay.
Just 6% of IFOL respondents reported that 100% of their monthly invoices go through a purchase-order process, indicating limited comprehensive PO coverage and more invoices outside standardized matching workflows.
The month-end close doesn't just consume time and budget. It also takes a toll on finance professionals. Rising stress levels and turnover concerns signal that current processes are unsustainable.
78% of IFOL respondents cited stress caused by poor AP processes, up 14% from 2024.
In a 2023 BlackLine survey of 263 intercompany stakeholders at large multinational companies, 92% said intercompany challenges affect hiring and retention of top talent.
The Hackett Group reports that 75% of finance managers believe their financial close processes are ineffective. The finding supports the case for redesigning close workflows, but it does not establish manual workflows as the sole cause.
In the same 2023 BlackLine research, 99% of 263 surveyed intercompany stakeholders at companies with international operations and more than $500 million in revenue reported specific intercompany accounting challenges. For SaaS companies with multiple entities or complex pricing structures, integrated billing platforms that maintain consistent data across entities become essential.
53% of IFOL respondents cited data errors and discrepancies causing process delays as an AP process challenge. Orb's accuracy-focused architecture stores and references raw usage events and supports backfills and automatic recalculation, giving finance teams a stronger basis for investigating discrepancies. For exceptionally high-volume workloads, Orb also offers Hosted Rollups that aggregate configured event streams during ingestion.
The shift toward automated finance operations is accelerating, with AI adoption rates rising dramatically. Organizations that delay automation investment risk falling further behind industry benchmarks.
58% of finance functions were leveraging AI in 2024, up from 37% in 2023. This is a 21-percentage-point increase.
The growth in AP-specific AI adoption is even more dramatic, with usage rising from 7% in 2024 to 29% in 2025. This is a roughly 314% relative increase, or 22 percentage points.
Beyond current adopters, 51% of IFOL respondents said they were actively considering AI adoption within the next 12 months. This suggests that AI-powered finance operations could become more common.
IFOL's detailed 2025 AP automation chart shows 43% of respondents as partly automated, 30% as mostly automated, 27% with no automation, and 0% as fully automated. This gap represents significant opportunity for efficiency gains through billing system modernization and workflow automation.
27% of IFOL respondents reported no automation in their AP department. These organizations have substantial scope to automate repeatable AP work.
Automation can produce meaningful gains, but several figures below are vendor-reported examples rather than industry-wide benchmarks.
Houseblend cites one AI-vendor example reporting an 80% reduction in reconciliation effort. This is a vendor-reported example rather than an industry-wide benchmark.
A vendor-reported playbook-user example cited by Houseblend reduced close from eight days to three, a roughly 63% reduction.
The same example cited by Houseblend reported approximately 70% less report-preparation time.
FYIsoft says teams adopting its multi-entity consolidation software routinely reduce consolidation workload by 50% every financial close cycle. This is a vendor-reported product outcome.
dataSights says its customers reduce month-end close from over 15 days to around five days. This is a vendor-reported product outcome.
HighRadius advertises up to a 30% reduction in close time, 95% journal posting automation, and 50% close task automation. These are vendor-reported product metrics rather than independent industry averages.
Investment in finance automation continues accelerating, with market projections indicating sustained double-digit growth through the end of the decade.
Mordor Intelligence estimates the global accounts payable automation market at $6.94 billion in 2026, up from $6.17 billion in 2025. This growth reflects increasing recognition that manual AP processes cannot scale with rising transaction volumes.
Looking further ahead, the AP automation market is projected to reach $12.46 billion by 2031, representing a 12.44% CAGR from 2026 to 2031. This trajectory indicates sustained investment and adoption across industries.
A 2025 ResearchAndMarkets release reports that the broader financial automation market was valued at $8.1 billion in 2024 and is projected to reach $18.4 billion by 2030, a 14.6% CAGR over 2024 to 2030.
In a 2024 survey of more than 5,000 BILL customers, 67% of surveyed customers reported monthly-close time with BILL Spend & Expense below five days. This is a vendor-reported customer benchmark rather than an independent industry average.
For companies with consumption-based pricing models, the month-end close presents unique challenges that traditional accounting automation does not address. Variable revenue, metered usage reconciliation, and complex deferred revenue calculations all extend close timelines.
Usage-based billing companies must reconcile metered events against customer contracts and invoices before closing. Orb's standard metering architecture uses a raw data layer that can surface a log of raw usage events for granular querying and auditability, while Orb's Accuracy architecture supports backfills and automatic invoice recalculation. For exceptionally high-volume workloads, Orb also offers Hosted Rollups that aggregate configured event streams during ingestion.
Organizations using Orb benefit from:
Usage-based revenue recognition requires tracking recognized, deferred, and unbilled revenue across each billing period. Without automated systems, finance teams must manually calculate these figures, extending close timelines and increasing error risk.
Orb's usage-native revenue recognition and revenue recognition capabilities support these calculations and provide:
Finance teams using 3-5 systems for cash reconciliation face data-transfer challenges that can extend close cycles. Native integrations between billing and ERP systems can reduce manual data entry and help keep financial records consistent.
For NetSuite users, Orb creates native transaction records including invoices, credit memos, customer deposits, and sales orders. This upstream structuring gives finance teams structured, audit-ready downstream records that reduce manual transformation and reconciliation.
Consero says most finance teams take 8-10 business days to complete month-end close. An older APQC 2018 benchmark covering more than 2,300 organizations found a median of 6.4 calendar days, with the top quartile at 4.8 days or less and the bottom quartile at 10 or more days. These figures come from different studies and periods, so they are best used as directional benchmarks rather than a single current average. Neither source isolates companies without automation.
Billing system integration can reduce manual handoffs and rekeying between systems. Ledge reports that surveyed teams spend 20-50 hours monthly on cash reconciliation and that most use 3-5 systems to complete it. For NetSuite users, Orb's native integration creates standard transaction records that support reconciliation and audit workflows while reducing manual handoffs between billing and accounting.
Orb supports invoice generation, usage reconciliation, revenue recognition, native credit memo records for NetSuite, and accounts receivable aging. For usage-based businesses, Orb also supports usage-based and tiered pricing, prepaid credit lifecycle management, and automatic proration of fixed fees for mid-period starts.
Orb's standard metering architecture uses a raw data layer that can surface a log of raw usage events, while Hosted Rollups provide an aggregation path for exceptionally high-volume workloads. Orb's Accuracy architecture supports backfills, backdating, and automatic recalculation of affected invoices, which can reduce manual correction and reconciliation work. Orb also supports invoice-to-usage-event drill-down, giving finance teams event-level lineage for investigating discrepancies and supporting auditability.
ROI varies by starting process, system architecture, transaction volume, and implementation scope, so there is no defensible universal close-time reduction. Vendor-reported examples in this article include an 80% reduction in reconciliation effort cited by Houseblend, an eight-day to three-day close example, approximately 70% less report-preparation time, a 50% consolidation-workload reduction claimed by FYIsoft, and a dataSights vendor claim that its customers reduce close from over 15 days to around five. These examples show the potential scale of automation benefits, but they should not be treated as guaranteed results. Separately, IFOL's finding that 78% of respondents cited stress caused by poor AP processes highlights the human cost of leaving repetitive workflows unresolved.



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