Maxima

Maxima is an AI-native accounting automation platform built to handle the repetitive, high-volume prep work that consumes accounting teams during month-end close. Rather than replacing accountants, it operates on an agent-prepared, accountant-reviewed model: AI agents gather data from connected systems, apply configured policies, and produce journal entries, reconciliations, and variance analyses ready for human sign-off.

What Maxima Automates

The platform covers most of the standard close checklist. Journal entry workflows include cash coding, payroll, stock-based compensation, fixed assets depreciation, allocation entries, and commission accruals. On the balance sheet side, Maxima handles account reconciliations, prepaid amortization, lease schedules, and corporate card spend matching and clearing.

Flux analysis is another core workflow. Instead of manually drilling through NetSuite or another ERP to investigate variances line by line, Maxima syncs financial data automatically and surfaces explanations at the vendor level—a task that previously required hours of manual work.

The system is built around what the company calls a finance graph: a unified model that connects data from across disconnected finance systems, preserving context and data lineage throughout. This is what allows the automation to be both accurate and auditable rather than just fast.

Who It Is For

Maxima targets enterprise accounting teams, particularly those at high-growth companies where transaction volume and close complexity have outpaced manual workflows. The platform has been adopted by public and private companies including Scale AI, and the typical user profile includes controllers, CAOs, revenue accountants, and finance systems engineers managing multi-entity or multi-currency closes.

It is not positioned for small businesses or solo bookkeepers. The onboarding process involves configuring workflows and connecting systems—an investment that pays off at scale but may not suit lean teams with simpler needs.

How the Workflow Fits Together

Agents connect directly to ERPs, banks, payroll platforms, billing systems, and data sources through 150-plus native integrations. Once a workflow is configured, agents pull the relevant data each period, apply accounting rules and company policies, and prepare the output. Accountants log in to review and approve rather than build from scratch.

This means the first close on a new workflow requires upfront setup, but subsequent closes run systematically. Adding a new bank or entity does not require rebuilding the process—it follows the same configured ruleset.

Every output carries full data lineage, source inputs, and approval records. The intent is that auditors can retrace every agent-prepared entry back to its source, making the audit trail re-performable rather than opaque.

Reported Outcomes

Scale AI's CAO reported closing two to three days faster with over 98% automation after adopting the platform. Multiple users note that payroll and banking workflows were the first to meaningfully reduce month-end stress, with more complex workflows like commissions amortization and investment accounting following. The platform has processed over $300 billion in transaction volume across its customer base.

Adoption is generally described as low-friction. Several accountants noted that the interface was intuitive enough that onboarding required minimal training or formal change management—an important factor for teams that cannot afford long disruption windows around close.

Pricing and Access

Maxima does not publish pricing publicly. Access begins with a demo request, and pricing is structured around enterprise contract terms. There is no self-serve free tier or public trial option. The company positions itself in direct comparison with FloQast, which signals it is actively targeting teams evaluating close management and accounting automation tools in that category.