Bring order to complex B2B billing

Finance and accounting software can support compliance by applying consistent revenue recognition rules, maintaining revenue schedules, and producing the financial records teams need for reporting and audits.

Maxio supports accrual-based revenue recognition using transaction start and end dates for GAAP/IFRS reporting. For more complex ASC 606 scenarios, RevenueBooks supports contracts with explicit and implied performance obligations and allocation of consideration among those obligations. Accurate configuration and data entry remain important: software supports the accounting process, but it does not replace your organization's accounting policies or professional judgment.

The biggest opportunity is reducing the manual work that happens before finance can trust its numbers. Automating revenue schedules, journal-entry preparation, billing workflows, and data handoffs reduces spreadsheet-based reconciliation and makes the close more repeatable.

Maxio automates revenue recognition and can generate journal-entry data while maintaining detailed revenue schedules and audit trails. It also connects billing, revenue recognition, reporting, and GL workflows, helping finance teams spend less time gathering and reconciling data at month-end.

Maxio also provides closing-date controls that can prevent transactions, revenues, and invoices in closed periods from being added, deleted, or modified.

Maxio supports both standard and more complex B2B SaaS revenue recognition workflows. For standard scenarios, finance teams can create accrual-based revenue schedules using transaction dates and configured recognition methods.

For ASC 606 scenarios that require allocation across multiple performance obligations, Maxio's Advanced Revenue module is designed to support explicit and implied performance obligations and allocation of contract consideration. Maxio recommends evaluating your specific allocation methodology with its RevenueBooks team to confirm that the module fits your requirements.

Yes. Maxio's billing engine is designed for evolving B2B monetization strategies and supports a range of ways to monetize products and services.

For usage-based models, Maxio supports metered usage workflows, including importing metered usage records into Advanced Billing. This allows finance and billing teams to incorporate consumption data into subscription billing rather than reconciling it manually outside the system.

That flexibility also makes it possible to combine recurring subscription charges with consumption-based elements for hybrid monetization strategies.

Maxio provides investor metrics and analytics tied to the underlying customer and transaction data. Finance teams can track and drill into metrics including ARR and Churn and analyze subscription performance through cohort and momentum reporting.

Maxio's reporting can also support metrics such as LTV and NRR and lets teams drill into performance using customer attributes such as product line, industry, or other segmentation data.

The goal is not simply to produce a top-line metric, but to give finance teams the detail behind the number so they can explain changes to executives, boards, and investors.

Maxio connects with systems across the quote-to-cash and finance stack. Integrations include CRM, general ledger/ERP, payments, tax, and other finance applications.

Examples include Salesforce and HubSpot for CRM workflows; QuickBooks, NetSuite, Sage Intacct, and Xero across accounting and ERP use cases; Stripe and other payment providers; and Avalara for sales tax. Maxio also provides APIs for programmatic integrations and synchronization.

Maxio helps finance teams maintain the detailed financial records behind reported numbers instead of relying on disconnected spreadsheets. Revenue schedules, journal-entry data, transaction history, reporting, and audit trails give teams a clearer path from summarized financial results back to the underlying activity.

Finance teams can also export subscription, customer, and transaction data for financial reporting, audits, and business analysis.

For revenue accounting specifically, maintaining structured schedules and consistent recognition logic can make it easier to substantiate revenue, deferred revenue, and related balances during an audit.

Maxio's Model Context Protocol (MCP) provides a governed way for supported AI clients to interact with Maxio data and workflows. Finance teams can use natural-language requests to retrieve customers, subscriptions, invoices, contracts, transactions, and payments; investigate billing and revenue trends; support collections and renewal planning; and prepare certain actions where permissions allow.

MCP is permission-based and is not enabled by default. Administrators control which tools and data are available, and access can be configured as read-only or with specific write capabilities. AI clients access data on demand when an authorized user makes a request rather than independently scanning Maxio data. Payment card and bank account details are not exposed through MCP.

This gives finance teams a way to use AI for faster investigation and decision support while retaining governance over access and execution.

Maxio automates recurring finance operations that otherwise become more labor-intensive as a SaaS company grows. That includes invoicing, subscription renewals, collections, revenue recognition, reporting, and data synchronization between systems.

Because billing, revenue recognition, and SaaS reporting can operate from connected financial data, teams can reduce duplicate data entry and spreadsheet reconciliation as transaction and customer volumes increase. APIs provide another layer of automation for high-volume or custom workflows.

The result is an operating model designed to let finance handle greater billing and reporting complexity without increasing manual work at the same rate as the business grows.