What is R2R agentic automation?

Most accounting teams still rely on spreadsheets, email chains, disconnected systems, and manual workarounds to manage their monthly close. That worked when the ERP was the center of gravity, holding summarized results, with a handful of exports covering the month.

But as transaction volume grows, entities multiply, and the close compresses into the same ten to fifteen business days, managing the essential accounting processes (journal entries, transaction matching, account reconciliation, and flux analysis) becomes increasingly complex. Without ever naming it, every accounting team relies on manual work and stitching to complete the monthly ritual: from the transaction recorded in an upstream system to the data translated into a report, through every financial statement they produce, every audit, and everything in between.

R2R automation replaces these fragmented, manual workflows across the entire accounting cycle, from transactional data extraction to reporting packages, with a unified, automated system. The accounting leaders gaining ground right now aren't coordinating manual processes. They're replacing them altogether.

What is Record to Report automation?

Simply put, R2R automation is a category of software designed to streamline and automate the entire accounting process that turns business activity into reviewed, reconciled, and reported financial results. Unlike transaction-specific finance processes such as procure-to-pay or order-to-cash, which follow a single transaction from beginning to end, R2R aggregates the output of every financial activity into one coherent set of books, encompassing activities that happen upstream, inside, and downstream of the GL.

While every accounting team has an R2R process, how much of that process and workload is automated depends on their maturity:

This distinction matters because most companies are stuck with legacy tools that coordinate the work and rely on accountants to do the manual heavy lifting of preparation. What sets agentic R2R automation apart is that it automates the full record-to-report lifecycle with agents, converting disconnected workflows and manual processes into a reliable operating process, with data flowing cleanly from ingestion through financial reporting.

Why agentic R2R automation matters now

Four structural shifts have made agentic R2R automation essential for accounting leaders, not optional.

• Financial data outgrew the ERP. The transaction-level detail that explains why numbers move (payroll runs, billing events, processor settlements, purchase orders) does not map cleanly to the general ledger. None of it translates one-to-one into accounting entries. The result is a constant backlog of upstream transactions that require manual reconstruction and investigation every month.

• Fragmented source systems multiply complexity. In most modern businesses, financial truth doesn't live in any single system. It's distributed across billing platforms, payroll providers, banks, card programs, and the ERP itself. Most accounting teams spend the majority of their close cycle extracting data from these sources and translating it into accounting-ready inputs, preparation work that is only a small portion of what accountants were trained to do.

• Manual workarounds amid rising accounting standards and control risk. Controllers describe the same math everywhere: revenue doubles, entity count grows, and the expectation is that the accounting function stays flat. Meanwhile, the most experienced people on the team spend their close doing the most repetitive work, across massive transaction volumes, entities, currencies, and jurisdictions.

• Agents became capable of governed work. Two earlier waves of automation fell short of accounting's bar:

  • Rule-based automation executes reliably but breaks on variability. A renamed column, a new file format, an entity that doesn't match, and the workflow stops.

  • AI assistants handle variability but can't be governed. A drafted answer with no evidence trail isn't production-ready in finance.

  • Agentic automation is the third model, and it's different in kind: agents that call deterministic tools, follow written accounting policies, escalate when judgment is required, and attach evidence to every output. That combination, not either half alone, is what makes it possible to automate evidence-heavy accounting work at scale, from workflows where the accounting treatment is known and repeatable to those that involve estimation and judgment, like accruals and inventory rollforwards.

  
  

What are the business benefits of agentic R2R automation?

Agentic R2R automation delivers measurable outcomes across five core areas.

Faster financial close

Manual closes are backloaded by design: the work can't start until the period ends, so it piles up and the team sprints. Agentic R2R automation unifies financial data and automates journal entries, reconciliation, and flux analysis, compressing the close cycle and freeing accounting teams to focus on analysis rather than data wrangling.

Fewer errors, stronger controls

A single miskeyed entry can ride through schedules, surface in a reconciliation days later, and consume hours of tracing. Agentic R2R automation applies the same logic every period, flags exceptions on the day they occur, and attaches documentation as the work happens, so the close inherits clean balances instead of discovering problems under deadline. And because approval workflows, segregation of duties, and materiality thresholds are built into the loop, automation done this way produces control evidence rather than eroding it.

Audit readiness as a byproduct

The question "who prepared this, what did they rely on, who approved it" gets a system answer instead of a reconstruction project. Every journal, match, and flux explanation carries its lineage from source to GL. The agent's draft and every human edit are stored and retrievable. Auditors get read-only access to finished reconciliations.

Continuous visibility into the numbers

Accounting leaders need to know where the close stands and where the numbers moved, based on current data, not a status meeting. When agents run continuously, exceptions surface daily rather than on day ten, variance drafts exist before anyone asks, and the checklist reflects work done, not work claimed.

Scale without adding headcount

Automation absorbs the operational burden of growth. Rippling cut cash reconciliation time by 50% and reallocated 4 FTEs to higher-value work. Headcount stays flat while the business grows. Preparers become reviewers, which is where the judgment they were hired for actually pays off.

What kinds of companies benefit from agentic R2R automation?

While agentic R2R automation is valuable for companies across stages and sizes, it is uniquely impactful for those facing increasingly complex accounting processes:

• High transaction volume. Thousands to millions of transactions a month, where manual matching and entry preparation consume entire roles.

• Fragmented source systems. Activity spread across banks, processors, payroll, billing, and a data warehouse, with the ERP holding the summarized result and the team reconstructing the context by hand.

• Enterprise-grade control requirements. SOX programs, Big Four audits, IPO preparation, or board scrutiny that demands evidence, not assurances.

• A close-day target without a headcount line. A controller or CFO who wants pencils down by day five while the business doubles, and no budget to get there by hiring.

• A mandate to put AI to work. Leadership asking what accounting is doing with AI, and a team that needs an answer that survives the auditor conversation.

Notably, these teams usually aren't starting from zero: they have a close checklist, AP automation, bank feeds. What's still manual is the preparation layer in between.

How does agentic R2R automation work with Maxima?

Agentic R2R automation software operates through three primary layers that together streamline and automate the record-to-report cycle, increasing efficiency and accuracy across the accounting process.

• The data aggregation layer. This foundational layer connects to the systems where financial activity actually happens (banks, payroll, billing, card programs, processors, the data warehouse) and pulls transaction-level detail continuously, structured or unstructured, into a single unified system. By removing data silos and ensuring a cohesive data environment, every module in the platform accesses the same up-to-date, consistent information. This comprehensive data integration is what maintains accuracy across every accounting activity, and it serves as the backbone for effective automation.

• The application layer. Built on top of the data aggregation layer, the application layer comprises interconnected modules tailored to automate specific parts of the accounting cycle: journal entries, transaction matching, account reconciliation, close execution, and flux analysis. Because these modules draw from a single data source, they function cohesively. Every component of the accounting process stays aligned and synchronized. This unified approach minimizes manual effort and improves accuracy across the accounting lifecycle.

• The agentic layer. This is the layer that turns data into prepared accounting work. Max, Maxima's 24/7 accounting agent, acts as a day-to-day co-preparer, taking ownership of the preparation layer: gathering data, preparing workbook schedules, drafting and posting journal entries, reconciling accounts, explaining variances, and keeping work moving in the background so accountants don't have to. Grounded in source data, Max works directly off live system records, with each workflow configured the way a new team member is onboarded: a written procedure, in plain English, describing the sources, the steps, and the logic. Max proposes its plan, an accountant approves it, and from then on Max runs the procedure every period. When it's unsure, it asks rather than assumes. Completed work routes to the accountant for review and approval, then posts to the ERP with evidence attached, every action captured in an immutable audit trail.

The loop is what makes it a complete, unified system rather than a set of features:

Source data capture → Record → Reconciliation → Analysis → Reporting.

Everything connects, from financial transactions to external financial statements, with each preparation step undertaken by agents, and accountants reviewing.

How Maxima uses AI to automate record to report

Most platforms treat AI as a feature add-on, layered onto the existing stack, leaving the operating model fundamentally untouched. Maxima takes a different approach: AI is embedded in every step of the record-to-report cycle, performing the prep work and eliminating the manual, painful human toil.

• Capture. Maxima uses proprietary agentic tooling to extract data directly from fragmented source systems, unlike most vendors, which at best pull financial data from the ERP and rely on accountants to export CSVs by hand.

• Normalize. Extracted data is automatically structured, validated, and aggregated across systems, ensuring consistency across every downstream workflow.

• Record & post. Policy-driven logic translates financial transactions into journal entries with continuous posting, adapting to company-specific accounting policy and established approval workflows through a no-code rules engine your team can manage.

• Match & reconcile. Agents validate and certify accounts across systems and automate GL-to-subledger matching at scale, with complete coverage, context, accuracy, and lineage, at volumes that would clog the ERP.

• Analyze. Agents compare periods continuously to detect and flag anomalies and errors, and draft detailed, granular variance explanations with the underlying transactions linked.

• Audit. Every automated action is logged with full traceability and supporting reasoning, maintaining an immutable audit trail that satisfies compliance requirements and auditor expectations without additional effort from the accounting team.

Agentic R2R automation examples: Real results from enterprise accounting teams

The strongest proof of agentic R2R automation's impact comes from the accounting teams already running on it. Here's how leading organizations have transformed their record-to-report operations with Maxima's agentic accounting platform.

Zendesk: 25+ legal entities without adding headcount. Lindsay Kelly, Director of Global Accounting, scaled accounting across 25+ legal entities with Maxima while maintaining public-company controls. The result: 98% automated match rates, more than 6,500 hours saved annually across journal entries, matching, and flux analysis, and vendor accruals posting six days earlier, with zero errors observed across deployed workflows.

Rippling: SOX-ready cash accounting at 2.6 million transactions a month. Vipin Sethi, VP Controller at Rippling, built SOX-ready cash accounting on Maxima across more than 100 bank account ledgers. Agents now process roughly 90% of transactions on large concentration accounts automatically, saving 700 hours every month and freeing 4 FTEs from spreadsheet prep to reconciliations and analysis.

Scale AI: 98% automated reconciliation at $500M in monthly volume. Josh Waldron, Chief Accounting Officer at Scale AI, automated reconciliations across 10+ data sources with Maxima, cutting manual journal prep by 60% within 90 days. "We're closing faster, scaling without extra headcount, and operating with more control than ever."

Roofstock: recs from 72 hours to 24, across 50 entities. Neil Black, Assistant Controller at Roofstock, unified accounting automation after a major merger, bringing 50+ bank accounts across 50 legal entities and multiple ERPs into one workflow. Reconciliations that took 72 hours now finish within 24 hours of soft close.

Gorgias: a 7-day shorter close through 6x growth. Yohan Jacquin, VP of Accounting at Gorgias, automated cash and flux workflows with Maxima, automating 90% of cash transactions across 8 bank accounts and shortening the close by 7 days from its original baseline. "If you provide numbers three weeks after the fact, it's already too late. When you provide them early, you give leadership time to react and make better decisions."

SpotOn: continuous close at millions of transactions a month. Jack Chalfant, Controller at SpotOn, mastered high-volume cash complexity by unifying multiple payment processors and bank feeds into NetSuite through Maxima, with a fully traceable audit trail on every reconciliation. "My team now spends the majority of their time investigating mismatches or on strategic work like validating policy and activity analysis instead of posting and reviewing cash journal entries."

Common objections to agentic R2R automation

Any serious evaluation of AI in accounting starts skeptical. It should. Here are the objections that come up in nearly every conversation, with straight answers.

"We already have an ERP."

ERP systems are essential for broad accounting operations, but they often lack the automation and scale required for complex accounting workflows. Record-to-report automation enhances your existing ERP by automating the preparation work around it, without requiring a system overhaul.

"We already have a close management tool."

Traditional close software helps teams track work, assign owners, and manage deadlines. But it never changed who prepared the reconciliations, journal entries, support schedules, and variance explanations. The checklist says "complete"; the work still happened in a spreadsheet. Over time, the question becomes how much coordination is still needed once preparation is automated.

"Our auditors will push back."

As they should. AI without an evidence trail and reasoning means more testing, more documentation, and re-performing, which defeats the point. Designed the right way, agentic automation strengthens audit posture: workflows translate into documented processes with clear audit trails, reviewer matrices, and exception detection with suggested resolutions.

"Our processes are too unique."

Agentic R2R automation platforms are built for flexibility. Whether you're dealing with intercompany balances, payroll accruals, or complex cash reconciliations, the agent runs your written procedure (your entry logic, mappings, and thresholds), adapting to your company's policy rather than forcing you into a rigid template.

"We're concerned about the cost."

Agentic R2R automation replaces labor-intensive manual work with automated workflows, so accounting errors drop, close timelines collapse, and your team spends less time on reconciliation and more on strategy. Its scalability means it grows with your business, preventing the need for proportional headcount increases or additional software.

The future of record to report

The shift to agent-prepared accounting is a structural change, not a passing trend. The monthly close, as most teams know it, is an artifact of manual constraints: work piled up at month-end because preparing it continuously was impossible with human effort alone.

Agents fundamentally remove that constraint. When journals are drafted as transactions occur, reconciliations run continuously, and exceptions surface daily, the close stops being an event and becomes a checkpoint: a review of work that is already done, evidenced, and tied out.

When record-to-report automation is clean, when close visibility is real-time, when auditability is built into the workflow rather than bolted on after the fact, your entire business moves faster. Sales can experiment with pricing. Product can launch new models. Accounting can support new SKUs and get IPO-ready.

Maxima makes this possible without rebuilding your entire finance stack: agentic journal entry automation, transaction matching, reconciliation, flux analysis, and close automation, all connected through a single data layer that integrates with your existing ERP and upstream systems. See Maxima in action

Agentic R2R automation FAQ

What is agentic R2R automation? Software in which AI agents prepare record-to-report work (data ingestion, journal entries, transaction matching, reconciliations, flux analysis, close execution) under a company's accounting policies, with humans reviewing and approving, and every output posted to the ERP with evidence attached.

How is it different from the AI features in close management tools? AI features assist work a person is still preparing: suggested matches, drafted commentary, flagged anomalies. Agents prepare the work itself and hand over a finished, evidenced artifact for review. Assistance shortens tasks. Agents remove them.

How does R2R automation improve the financial close? Record-to-report automation centralizes financial data and automates journal entries, reconciliations, and flux analysis, eliminating the manual processes that stretch most close cycles. Accounting teams spend less time compiling data and more time analyzing it.

What are the main benefits of R2R automation? R2R automation delivers measurable outcomes across five core areas, from compressing close cycles and strengthening controls to scaling operations without proportional headcount increases. See the full breakdown above.

How does R2R automation support audit readiness? R2R automation maintains a complete audit trail for every automated action, from source data ingestion through close execution. Because logic is applied consistently and every calculation is logged with full traceability, accounting teams can demonstrate compliance without reconstructing records from spreadsheets or email threads.