Every month, accounting teams fight the same battle: transforming fragmented business activity into financial truth. Downloading transactions. Chasing down accruals. Building variance schedules. Matching transactions. Reconstructing context from dozens of disconnected systems long after other departments have moved on.

What should be an analytical, business-improving function has become consumed by preparation work. The consequences are becoming impossible to ignore:

• The number of people entering the profession is at an all time low.

• The number of public companies restating financials due to accounting errors is at an all time high.

• Pressure from new accounting standards, fragmented systems, and rising business complexity is intensifying.

For years, the default solution has been to hire more accountants. But the uncomfortable reality is that accounting operations have outgrown human capacity. The work is too onerous, too evidence-heavy, and too repetitive to be solved by manual effort. Modern businesses generate millions of transactions across payroll systems, banks, billing platforms, procurement tools, CRMs, and data warehouses. Financial truth is distributed across dozens of systems, while burgeoning accounting controls compound the amount of documentation, and review required.

The result is operational chaos where complexity grows faster than accounting teams can scale.

The problem with legacy accounting software

Enterprise Relic Problem aka ERP

ERPs, or systems of record, are exactly that: the final destination for storing a company’s financial data. Inside large enterprises, these digital shelves are deeply seated with linkages to thousands of customers and vendors.

Customizing these generic shelves to your companies’ ever changing workflows and policies involve millions in IT contractor spend and still most of the work ends up happening in spreadsheets.

Uprooting the ERP to adopt AI is one of the highest risk, business stopping, career limiting brain surgeries one can attempt. ERP migrations are expensive, disruptive, and notoriously difficult to execute. Gartner research states  that more than 70% of ERP initiatives fail.

Dumb Checklists

Checklist tools like BlackLine and FloQast tracked the month-end close work. They provided updates on what’s left to be done but the work was still performed by humans. These checklists were built around a fundamental assumption: humans prepare the work (99.9% burden), software coordinates the work (0.1% burden). As accounting complexity exploded, that assumption became the bottleneck.

• Coordination instead of preparation: Close checklists tracked human performed 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." But the work was still performed by an army of tired humans.

• Trial balances instead of transaction-level truth: Legacy close tools operate at the trial balance level, but accounting work happens at the transaction level. When something looks wrong, accountants still have to leave the system, pull source data, and manually reconstruct what happened, transaction by transaction.

• Fragmented data = fragmented context: Legacy close tools were built decades ago when the ERP was the center of gravity. Today, the accounting context lives across dozens of upstream systems (banks, cards, payroll, procurement, equity….) and accountants spend their time stitching together financial truth before they can even begin the accounting work.

• AI as a lip service, not a foundation: Legacy vendors responded to AI by adding chatbots. But did nothing to create a financial knowledge graph, build accounting specific agents or introduce accounting intelligence. Accountants still gather the data, prepare the work, and review the output - the hamster wheel did not stop.

Why an agentic system of work for accountants, not another generic AI tool

What accounting needs is not another system of record or checklist. It needs a system of work built solely for the high risk domain of accounting. An agentic system of work brings together data, context, reasoning, and execution into a single platform. It becomes the operating layer between transaction systems and the ERP, where humans and agents work from the same financial truth, adhering to the same exacting standards and maintaining rigorous controls and governance, without any errors.

The foundation Max is built on

Last winter, we introduced Maxima’s agentic system of work for accounting. Built on a unified Finance Graph and natively connected to the systems where financial truth lives, Maxima spans the accounting lifecycle—from transaction ingestion and transformation to journal entries, reconciliations, variance analysis, reporting, and close execution. 

It’s architected around three core pillars:

Agentic Transactional Accounting  (the preparation layer)

• Data ingestion – pulls and normalizes activity from banks, payroll, billing, and the data warehouse, so no one is exporting CSVs by hand at the month end.

• Workbook schedules – builds the journal entries, accrual, prepaid, and amortization schedules that were previously hand prepared by humans.

• Audit-ready journal entries – drafts journal entries with the backup calculation, as per your accounting policy, and supporting evidence attached to every line.

• Transaction matching – ties bank-to-ledger, invoice-to-payment, and intercompany across many systems, and flags what doesn't reconcile.

Agentic Close Orchestrator (executes month-end)

• Account reconciliations – prepares balance-sheet recs with support gathered and variances explained.

• Adjustment entries – proposes the true-ups and reclasses that usually surface late in the close.

• Support collection – chases and attaches the documentation reviewers and auditors ask for.

• Close execution – runs the checklist, tracks prepared vs. pending, and keeps the close moving.

Accounting Intelligence  (the analytical layer)

• Flux and variance explanations – with one click, drafts the month-over-month story with the driving transactions linked.

• Reporting packages – assembles the recurring reporting accountants rebuild every period.

• Exception surfacing – flags anomalies, errors, and maverick spend before they contaminate the financials.

Today, Maxima’s platform is  deployed at some of the most iconic and heavily audited enterprises including Rippling, Zendesk, Scale AI, and Bilt Rewards, with more than $400 billion in accounting volume processed on the platform. The result is a system capable of performing the repetitive, evidence-heavy work that has historically consumed the majority of accounting hours. 

Max accounting agent operates on top of our System of Work.

Introducing Max, the 24/7 accounting agent

Today, we’re introducing Max: the 24/7 accounting agent that teams can delegate their most manual, painful, and recurring preparation work to every month.

Built on top of Maxima’s agentic system of work, Max operates with complete accounting context across your systems. It understands where transactions originated, how they should be transformed, which policies apply, what evidence is required, and how outputs should be reviewed before posting. The result is accounting work prepared at a top notch  quality expected from an experienced accountant, producing real deliverables like workbook schedules, journal entries, balance sheet reconciliations, variance explanations, and supporting documentation.

What this looks like day to day

When an accountant logs into Maxima’s agentic system of work in the morning, the recurring work for the period is already underway or complete.

• Payroll JEs have been prepared and routed for review.

• Accrual estimates have been calculated and supported.

• Commission schedules have been updated.

• Depreciation, amortization, and lease schedules have rolled forward.

• Cash activity has been reconciled.

• Intercompany balances have been matched.

• Variance explanations have been drafted, with supporting transactions linked and traceable.

Less time downloading transactions and stitching together context. More time understanding the numbers, identifying risk, partnering with the business, and helping move the company forward.

The results

Teams running Max are already seeing what happens when preparation moves off the human team:

• Scale AI: 70% faster close cycles, with significant hours redirected to reviews and analysis

• Guild: Monthly sabbatical accruals instead of quarterly, with 80% less prep time

• InDrive: 2 days saved every close cycle and eliminated reliance on outsources

• Pressed Juicery: 12x faster health benefit cost allocation journal entries

We named the company Maxima, to help every accountant reach the maxima of their careers. With Max accounting agent by your side, I can’t wait to see what you accomplish.

Enter the agentic era of accounting. Request priority access at maxima.ai/max