---
title: "Financial close automation: How to automate month-end close"
description: "Financial close automation, step by step: which tasks to automate, a test for tools that do the work, a worked AI accrual, ERP tables, and a 90-day plan."
url: https://emptyspaces.ai/resources/blog/month-end-close-automation
language: en
---

[Blog](https://emptyspaces.ai/resources/blog) Guide

# Financial close automation: How to automate your month-end close

Published November 9, 2026 22 min read

Key takeaways

- Financial close automation works at three levels: tools that track tasks, tools that match by rules, and AI agents that prepare the work and post it after a person approves. Only the last two take hours off your close.
- To tell tools apart, run the six-check test below on one real task. A tool that reads your data, prepares the entry with support, waits for a named approver, posts to your ERP, and keeps the history does the work.
- Start where hours are high and judgment is low. In Ledge's 2025 survey, cash reconciliation alone took 20–50 hours a month, and most teams had automated less than 40% of their close.

Financial close automation lets software do the repeatable work of your month-end close, and you get there in four moves: map every task, connect your ERP and banks, automate reconciliations and recurring entries, then let an AI agent prepare accruals and other entries for your approval. Done in that order, your team spends the close reviewing exceptions instead of building schedules, and your controls get stronger. This guide covers which tasks to automate, a 90-day plan, a test for tools that do the work, a worked accrual from source document to posted entry, ERP tables, costs, and audit controls.

## What is month-end close automation?

Month-end close automation is software that does the repeatable close work for you: pulling ERP and bank data, matching transactions, preparing reconciliations and journal entries, and routing them for approval. It runs at three levels, and each level takes a different amount of work off your team.

- **Track** Checklist and close management tools list tasks, owners, due dates, and sign-offs. They show where the close is stuck, but your team still pulls the data and builds every schedule.
- **Match by rules** ERP features and matching tools apply rules you write, such as matching a bank line to a payment with the same amount and date. They clear predictable, high-volume items and send the rest to a person.
- **Do the work** AI agents read your ledger, subledgers, bank data, and documents like invoices and contracts. They prepare reconciliations and entries with support, wait for an approver, and post the approved entry to your ERP.

Financial close automation, accounting close automation, and month-end close automation describe the same thing. Automation in accounting is broader: it also covers payables, billing, and expenses, which feed the close but sit outside it. For the close steps themselves, see the [month-end close process](https://emptyspaces.ai/resources/blog/month-end-close-process).

Controllers rarely name the close itself as their problem. They name the jobs that make it late: lining up the ledger and the bank by hand, rebuilding the same entries every month, guessing what hasn't been billed yet, and emailing managers to approve what's sitting in their queue. Automation goes after those jobs, and the benefits follow:

- **Time** Preparation hours come back, so the numbers reach leadership sooner.
- **Accuracy** The same rules run every month, and every line gets matched instead of a sample.
- **Earlier warnings** Breaks surface during the month, not on the last day of the close.

## Which month-end close tasks can be automated, and which stay with people?

You can automate most rule-based close work: bank and card reconciliations, transaction matching, recurring and reversing journals, prepaid and depreciation schedules, accruals from purchase orders and receipts, intercompany matching, and first drafts of flux explanations. Keep people on judgment: estimates, revenue recognition policy, material adjustments, journal entry approval, and sign-off on the statements.

The table shows who does each task best today. ERP native means a feature already in your accounting system. Rules means matching or scheduling logic you configure. AI agent means software that prepares the work from source data for a person to approve.

| Close task | Who does it best | What a person still does |
| -------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
| Import bank and card activity | ERP native (bank feeds) | Fix broken feeds |
| Bank and card reconciliation | Rules, then an AI agent for what rules miss | Review unmatched items and sign off |
| Payment processor and clearing accounts | AI agent | Approve write-offs and reclasses |
| Subledger tie-outs (receivables, payables, fixed assets) | AI agent | Review differences above your threshold |
| Recurring entries such as rent and depreciation | ERP native | Approve the template once, then spot-check |
| Reversing entries | ERP native | Confirm the reversal date |
| Prepaid amortization schedules | Rules, or an AI agent that builds the schedule from the invoice | Approve each new schedule |
| Accruals for goods and services received but not billed | Rules where your ERP supports them (such as SAP purchase order accruals), and an AI agent for contracts, timesheets, and usage data outside the ERP | Approve the estimate and the entry |
| Payroll, bonus, and commission accruals | AI agent, from payroll and commission data | Approve bonus estimates |
| Intercompany matching | Rules or an AI agent | Settle disputes between entities |
| Deferred revenue roll-forward | ERP revenue module, with an AI agent for the tie-out | Own revenue recognition policy (ASC 606) |
| Foreign currency revaluation | ERP native | Check the rates |
| Flux analysis | AI agent drafts the explanations | Confirm the reason and the follow-up |
| Chasing inputs from other teams | Rules for reminders, or an AI agent that requests the missing document | Escalate when a team misses its cutoff |
| Journal entry approval | Person | Always a person |
| Estimates and judgment calls, such as reserves | Person | Always a person |
| Sign-off and period lock | Person decides, ERP enforces the lock | Always a person |

Month-end close automation without AI goes further than templates. In SAP S/4HANA, Purchase Order Accruals calculates and posts accruals from purchase orders automatically (SAP Learning, accessed November 9, 2026), and Oracle Fusion Cloud's Automatic Reconciliation matches bank statement lines to system transactions with rule sets (Oracle Financials 26B help, accessed November 9, 2026). AI helps with what rules can't resolve: unstructured documents such as contracts, timesheets, and emails, data spread across several systems, and the exceptions rules leave behind. Much of that work still sits in spreadsheets: in SixthFin and Odoxa's 2026 study of more than 300 UK finance leaders, 57% still handled accruals mainly in spreadsheets, and 54% did the same for manual journal entries.

AI-powered reconciliation pulls every line from the ledger and from the bank or subledger, and matches on amount, date, and reference. It then uses machine learning and language models to read descriptions and documents and suggest the matches rules miss. Every difference left shows its amount, date, source, and reference, so the reviewer checks exceptions rather than the whole account. The guides to [bank reconciliation](https://emptyspaces.ai/resources/blog/bank-reconciliation) and [account reconciliation](https://emptyspaces.ai/resources/blog/account-reconciliation) cover the mechanics, and the [month-end close checklist](https://emptyspaces.ai/resources/blog/month-end-close-checklist) lists every task you can mark this way.

## How to automate the month-end close: A 90-day plan

To automate the month-end close, work in four phases over about 90 days. Map every task, owner, and hour. Connect your ERP, banks, and subledgers. Automate reconciliations and recurring entries first, then add accruals, flux analysis, and approvals, and run one close in parallel before you switch. Measure days to close and hours saved every month.

The plan below is written for a 200-person SaaS company on NetSuite with a 10-day close, and it spans three month-end closes. Shift the weeks to match your own close calendar.

| Weeks | What you do | Owner | Done when |
| ----- | ----------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ | ------------------------------------------------------- |
| 1–2 | Log every close task with its owner, reviewer, hours, source system, and what it waited for. Record days to close as your baseline. | Controller | Every task has hours and a source |
| 3–4 | Connect the ERP (read-only first), bank and card feeds, billing, and payroll. Write approval tiers and name a reviewer for every task. | Controller and IT | Data for the first tasks arrives without manual exports |
| 5–8 | Automate wave one: bank and card reconciliations, recurring and reversing entries, and prepaid schedules. Run them next to the manual process. | Senior accountant | Automated reconciliations match the manual ones |
| 9–10 | Automate wave two: accruals from purchase orders and receipts, intercompany matching, the deferred revenue tie-out, and flux drafts. | Accounting manager | Every prepared entry carries its support |
| 11–12 | Run one full close in parallel, compare results, and walk your auditor through the approval trail. Then switch on posting for approved entries. | Controller | No unexplained differences above your review threshold |
| 13 | Go live, then compare days to close and hours per task with the baseline. Pick the next wave. | Controller and CFO | Both numbers reported to the CFO |

To decide what to automate first, score each task on hours a month, how often it repeats, and how much judgment it needs. Start with high-hour, low-judgment work. Leave judgment-heavy work for last, or keep it with people.

Example

The SaaS company scores four tasks from its task log:

| Task | Hours a month | Judgment | Wave |
| ------------------------------------------------- | ------------- | -------- | ----------------- |
| Bank, card, and payment processor reconciliations | 35 | Low | One |
| Recurring, reversing, and prepaid entries | 8 | Low | One |
| Accruals for unbilled services | 12 | Medium | Two |
| Bonus and legal reserves | 3 | High | Stays with people |

A few practices keep the plan on track:

- **Standardize first** Use one chart of accounts, one reconciliation template, and one cutoff calendar across entities before you automate any of them.
- **Start read-only** Let the tool prepare work for a close or two before it posts anything.
- **Start small in a large department** Automate one entity or region, then copy the setup once it holds.
- **Automate reporting last** Flux explanations and the management pack depend on clean balances, so they come after reconciliations.
- **Review every close** Spend 15 minutes on what ran late, and add it to the next wave.

To run the plan as a checklist with owners and due dates, start from the free [month-end close checklist template](https://emptyspaces.ai/resources/tools/month-end-close-checklist).

## Which close automation software actually does the work instead of tracking it?

A tool tracks the close if your team still pulls the data, builds the schedule, and keys the entry. It does the work if it reads your ERP and source documents, prepares the reconciliation or entry with support, waits for an approver, posts the approved entry to your ERP, and keeps the full history.

Run this six-check test on one real task from your last close, with the vendor driving the tool on your data. Score one point for each check it passes.

| Check | Passes when | Fails when |
| ------------------------------ | -------------------------------------------------------------------------------------------------------------- | ------------------------------------------------- |
| 1. Reads source data itself | It connects to your ERP, banks, subledgers, and documents | Your team exports and uploads files |
| 2. Prepares the output | It produces the reconciliation, schedule, or balanced entry | It gives you a task and a place to attach support |
| 3. Shows its support | Every line links to the invoice, statement, or calculation behind it, and it stops to ask when data is missing | You get a number with no evidence, or it guesses |
| 4. Waits for a named approver | A person other than the preparer approves the exact lines | Anyone can approve, or nothing needs approval |
| 5. Posts to your ERP | It writes the approved entry to your ERP once and can't post into a locked period | Someone rekeys or imports the entry |
| 6. Keeps the history | Each entry shows who prepared it, who approved it, why, and every change | The trail lives in email |

Score 0–2 and the tool tracks the close. Score 3–4 and it assists, but your team still finishes the work. Score 5–6 and it does the work.

Tracking tools still have a job. If your team spends the first 10 days of every month on close tasks with no central tracking, a close management tool gives your controller live visibility into who owns what and what's late. It won't shorten the work itself, so pair it with automated recurring reconciliations.

The table shows what each tool type usually reads from your ERP, what it prepares, and whether it posts. Products inside one type differ, so score every vendor yourself.

| Tool type | Reads | Prepares | Posts to your ERP | Usual score |
| ------------------------------------------------------------- | ---------------------------------------- | ------------------------------------------------------------- | ------------------------------------------- | ----------- |
| ERP close checklist | Its own ledger | Task order and period locks | Its own system entries, such as revaluation | 1–2 |
| Close management and checklist tools | Task status, sometimes trial balances | Task lists and sign-off records | No | 0–2 |
| Rules-based matching tools | Bank, card, and ledger lines | Matches and exception lists | Sometimes, for matched items | 2–4 |
| Scripts and bots (Excel, VBA, Python, Power Automate, UiPath) | The files and screens you point them at | Whatever you build | Only if you build it, often by file import | 1–3 |
| AI agents for the close | Ledger, subledgers, banks, and documents | Reconciliations, entries with workpapers, and exception lists | Yes, after a named approver signs off | 5–6 |

You can automate pieces of the close yourself with Excel Power Query, VBA, Power Automate, UiPath, or Python, including open-source libraries. They handle data pulls, file merges, and simple matching well. They break when a bank or report format changes, they need an owner who codes, and some IT teams don't allow staff-written code against financial systems. Use them for one-off pulls, and use a close tool or agent for recurring work that needs approvals and an audit trail. For AI products compared by the work they do, see the [best AI agents for finance teams](https://emptyspaces.ai/resources/blog/best-ai-agents-for-finance-teams).

## How does AI automate the month-end close? A worked example

An AI agent automates the close by reading ledger, bank, and subledger data plus documents like invoices, contracts, and timesheets. It prepares reconciliations, accruals, and flux explanations, flags exceptions, and drafts journal entries with support. A person reviews and approves, and only then does the agent post the entry to your ERP.

Approval before posting is the control that makes AI usable in the close. In Datarails' 2026 survey of 270 CFOs and finance leaders at US companies with at least 1,000 employees and $100M in revenue, respondents spent an average of 26% of their workday verifying or correcting AI output. Only 4% trusted AI to produce final month-end close output without human review. An agent that shows its evidence and waits for approval fits that reality. Your reviewer checks one prepared entry against its support instead of redoing the work.

This also gives you an exception-based close. The agent clears what matches and ties, so your reviewers look only at breaks, missing documents, and entries above threshold. The primary benefits of AI in the close follow from that: hours back on preparation, every line checked instead of a sample, and exceptions visible during the month.

Example

An AI agent prepares October accruals for the SaaS company on NetSuite. October 31, 2026 falls on a Saturday, so business day 1 (BD1) is Monday, November 2, and the agent runs accruals on BD2, Tuesday, November 3. The company's approval tiers send entries under $10,000 to the accounting manager, $10,000–$50,000 to the controller, and anything larger to the controller and the CFO.

1. **Reads open purchase orders and receipts in NetSuite** PO 4471 for IT consulting: $150 an hour, up to 160 hours a month
2. **Reads the vendor's October timesheet, approved by the project owner** 120 hours delivered in October
3. **Checks payables for an October bill from that vendor** None posted by BD2
4. **Reads the cloud hosting usage export and the contract** $6,240 of October usage, billed in arrears
5. **Finds a marketing agency retainer with no delivery record for October** Stops and asks the marketing lead instead of guessing. She confirms the work was paused, so nothing is accrued.
6. **Calculates the accrual and builds the workpaper** 120 hours × $150 = $18,000 for consulting, plus $6,240 for hosting, totals $24,240
7. **Routes the entry by amount** $24,240 falls in the $10,000–$50,000 tier, so it goes to the controller
8. **Posts the approved entry, dated October 31 and set to reverse November 1** Posted once, after approval

Here's the entry the controller approves:

| Account | Debit | Credit |
| ------------------------ | ------ | ------ |
| 6130 Professional fees | 18,000 | |
| 6210 Hosting expense | 6,240 | |
| 2150 Accrued liabilities | | 24,240 |
| Total | 24,240 | 24,240 |

Debits and credits both total $24,240. The entry's history shows every step, so the reviewer and the auditor see the same record:

| Event | Who | When |
| --------------------------------------------------------------------------- | ------------- | ------------ |
| Prepared, with the PO, timesheet, usage export, and payables check attached | AI agent | BD2, 9:40 AM |
| Routed under the $10,000–$50,000 tier | Approval rule | BD2, 9:40 AM |
| Approved, exact lines | Controller | BD2, 2:15 PM |
| Posted to NetSuite as JE-10482, reversing November 1 | AI agent | BD2, 2:16 PM |

On November 6, the consulting invoice arrives for 123 hours, or $18,450, because three hours were logged late. The November 1 reversal already cleared the $18,000 accrual, so November carries $18,450 − $18,000 = $450 of late October cost. That small true-up is normal for an estimate. When the difference is immaterial, as here, it usually stays in November rather than reopening October, and the history shows where it came from. For estimates without a timesheet or usage data, see the guide to [accrued expenses](https://emptyspaces.ai/resources/blog/accrued-expenses), and for the other entries in a close, see [month-end journal entries](https://emptyspaces.ai/resources/blog/month-end-journal-entries). For what AI can and can't do across the whole close, see [AI in month-end close](https://emptyspaces.ai/resources/blog/ai-month-end-close).

## What close automation works alongside your ERP instead of replacing it?

Dedicated close-automation add-ons usually sit on top of your ERP, so you don't replace it. The ERP stays the system of record, and the automation layer reads from it, does the matching and preparation, and writes approved entries back. Check which ERPs a vendor can post to, not only read from, and where the software can run.

### Do you still need a close tool if your ERP already has a task checklist?

You still need more than your ERP's checklist if your team builds reconciliations and accruals in spreadsheets. ERP checklists, like NetSuite's Period Close Checklist, sequence and lock the period, but they don't prepare the work. Add a tool only for the gap: preparation, matching across systems, approvals with evidence, and the audit trail.

Here's what six common ERPs do for the close on their own, based on each vendor's help pages:

| ERP | What it does natively (vendor source, date) | What's left for your team |
| ------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- |
| NetSuite | The Period Close Checklist locks receivables, payables, and payroll, revalues foreign currency balances and eliminates intercompany transactions where those features are on, and closes the period. Memorized transactions create recurring journal entries that post automatically or remind you to post them. (Oracle NetSuite Help, accessed November 8, 2026) | The checklist page doesn't cover reconciliations or accruals for unbilled costs |
| Oracle Fusion Cloud | The Close Monitor shows period close status across related ledgers and summarizes income statement results by entity. (Oracle Financials 26B help, accessed November 9, 2026) | Preparing reconciliations and entries |
| SAP S/4HANA | Purchase Order Accruals calculates and posts accruals from purchase orders. For close orchestration, SAP sells Advanced Financial Closing, a separately licensed application that runs on SAP BTP, not inside S/4HANA: it plans closing tasks, runs jobs across your systems, and monitors progress across subsidiaries. (SAP product page and SAP Learning, accessed November 9, 2026) | Accruals and reconciliations built from documents outside SAP |
| Microsoft Dynamics 365 Finance | The Account reconciliation agent, in production-ready preview, evaluates two types of exceptions and, for voucher amount mismatches, recommends an action such as creating a journal entry, which you accept or swap for another action. (Microsoft Learn, updated September 8, 2026) | Other exception types, accruals, and support |
| Business Central | Recurring general journals post fixed, variable, balance, and reversing entries. The Allow Posting From and Allow Posting To fields limit posting dates. (Microsoft Learn, updated April 2026) | Reconciliations and accrual estimates |
| QuickBooks Online | Recurring transaction templates run as scheduled, reminder, or unscheduled on Essentials, Plus, and Advanced. Close the books sets a closing date with an optional password. (Intuit help, September and October 2026) | Accruals, tie-outs, and approval evidence |

Of the six help pages above, only Dynamics 365 Finance documents an AI agent for close exceptions, and it was still in preview in September 2026. Check your own ERP's release notes, because these features change often. For SAP shops, the question is whether a tool can prepare the work SAP's closing tools orchestrate but don't build, such as accruals from documents outside SAP, and post it back under your approval rules.

Integration works in two halves. An add-on reads the ledger, subledgers, and master data through the ERP's API or a scheduled export, whether the system is SAP, Oracle, Workday, or NetSuite. It reads banks, cards, billing, payroll, and CRM data such as Salesforce through their own connections. Posting is the harder half: the tool must create a standard journal entry under your approval rules and respect closed periods. Ask every vendor three questions:

- Which of my ERPs can you post to today, and which can you only read from?
- Does the posted entry carry its approver and its support?
- What happens when the period is locked?

Custom or messy data sources, such as legacy systems from acquisitions or spreadsheets from a subsidiary, need a tool that reads files and documents as well as APIs. Ask how it maps them to your chart of accounts. Enterprise and multinational groups should also check multi-entity, multi-currency, and intercompany support, and test one intercompany pair before rolling out. The guide to [intercompany accounting](https://emptyspaces.ai/resources/blog/intercompany-accounting) covers the matching.

### Where can close automation run: Cloud or on-premises?

Most close automation is cloud software, but regulated and data-sovereign companies can ask for other options. Check whether a vendor can deploy in your own cloud account, a private cloud, or on-premises, which ERPs it supports there, and how it keeps data and AI model calls inside your boundary. Also ask whether you can use your own AI model keys and whether the deployment is single-tenant. This matters most when your ERP runs on-premises, such as an on-premises SAP S/4HANA system.

## Can a small business automate the month-end close on QuickBooks?

Yes. Small teams on QuickBooks Online can start with the bank feeds, bank rules, and recurring transactions they already pay for, then add automation for reconciliations and accruals. The test is hours, not company size: if two people spend a week each month preparing the close, compare the software cost with the cost of a new hire.

A three-person team can automate the close without enterprise software in four steps:

1. **Set bank rules** for routine lines, and clear the bank feed weekly instead of on BD1.
2. **Turn fixed entries into templates.** Intuit's help, published October 16, 2026, lists scheduled, reminder, and unscheduled recurring templates on Essentials, Plus, and Advanced. Use scheduled templates for rent, subscriptions, and depreciation.
3. **Lock the month.** Go to Settings, then Account and settings, then Advanced, and turn on Close the books with a closing date and a password (Intuit help, updated September 15, 2026).
4. **Add an AI agent** when accruals and reconciliations still take days, since that's the work QuickBooks leaves to you.

Startups follow the same order. The first win is usually weekly bank and card reconciliation, because it removes the job that slips first.

## How much does financial close automation cost, and does it pay off?

Costs vary by scope. Checklist tools usually cost least, reconciliation and close suites more, and many enterprise vendors quote per contract, often with separate implementation fees. Budget for internal time too: data cleanup, mapping, and a parallel close. Price the tool against hours saved at your team's loaded cost, not against the license alone.

Most pricing models are subscriptions priced on one or more of the drivers below.

| Cost | What drives it | How to estimate it |
| -------------- | ------------------------------------------------------------- | ----------------------------------------------------------------------- |
| Subscription | Entities, users, transaction volume, and modules | Get quotes for your entity count and volume |
| Implementation | Number of ERPs, banks, and data sources, plus custom mapping | Ask for a fixed-fee scope and a named team |
| Internal time | Data cleanup, mapping, approval rules, and the parallel close | Count controller and senior accountant hours for weeks 1–12 of the plan |
| Upkeep | New entities, bank accounts, and rule changes | Ask who maintains rules after go-live |

To calculate ROI, use one formula: annual value = hours saved a month × 12 × loaded hourly cost. The Bureau of Labor Statistics put median pay for accountants and auditors at $40.23 an hour in May 2025. Wages and salaries made up 70.0% of private-industry employer compensation costs in June 2026, per its September 9, 2026 release. That puts a loaded rate at about $40.23 ÷ 0.70 = $57.47 an hour.

Example

A five-person mid-market team spends about 35 hours a month on cash reconciliation, within the 20–50 hours Ledge's 2025 survey of 100 finance professionals reported. After automation, a reviewer spends 10 of those hours on exceptions, so 25 come back. Here's the full estimate:

| Task | Hours saved a month |
| ------------------------------------------------- | ------------------- |
| Bank, card, and payment processor reconciliations | 25 |
| Accruals | 10 |
| Recurring and prepaid entries | 5 |
| Flux explanations | 8 |
| Chasing inputs from other teams | 6 |
| Total | 54 |

That's 54 × 12 = 648 hours a year, and 648 × $57.47 = $37,240.56, or about $37,241 a year. If the subscription, implementation, and internal time cost less than that in year one, the tool pays back within the year. Fewer late adjustments and earlier reporting add value the formula leaves out.

### How long does it take to implement month-end close automation?

In the 90-day plan above, a first workflow such as bank reconciliations or recurring journals runs in weeks 5–8. A full close takes about one quarter: connect systems, configure rules and approvals, then run at least one close in parallel. Multi-entity groups and messy data take longer, so start with one entity.

### Can automation reduce the month-end close timeline?

Yes, when it removes work and waiting rather than tracking them. Vena's survey of 624 US finance and accounting professionals, published October 23, 2026, put the average close at 6.2 business days. Teams that also pulled close data from email or shared documents averaged 6.8 days, against 5.9 for everyone else.

Respondents in the same survey picked better integration between systems (32%) over additional staff (19%) as the change that would help most. In LiveFlow's survey, reported by CFO Dive on May 5, 2026, nearly 8 in 10 respondents blamed close delays on waiting for data from other systems or departments. Both surveys come from finance software vendors, so read them as directional. Measure your baseline days to close and hours per task first, then track both every month. For benchmarks by company size, see [how long month-end close should take](https://emptyspaces.ai/resources/blog/month-end-close-time).

## Can month-end close automation help with audits?

Yes, automation helps audits when every entry carries its evidence. Look for maker-checker approval, amount-based approval limits, a log of who prepared, approved, and posted each entry and why, source documents attached, and locked periods. Auditors can then trace a posted entry back to the transaction and rule that created it.

A maker-checker workflow separates the person or agent that prepares an entry from the person who approves it. Here's how it runs in an automated close:

1. **Prepare** The maker, a person or an agent, prepares the entry with its support.
2. **Route** A rule sends it by amount to a checker who isn't the maker.
3. **Approve or send back** The checker approves the exact lines, or sends the entry back with a note.
4. **Post once** The entry posts after approval, and any later edit needs approval again.
5. **Lock** The period locks after every task is signed off, and posting into a closed period is blocked.

To check which close tools require reviewer approval on journal entries and reconciliations, ask the vendor to show two things live. First, that a requester can't approve their own entry. Second, that an edited entry loses its approval. For agentic platforms, also ask to see the log of every step the agent took, including the queries it ran against your ERP. That log is what helps with compliance work such as SOX testing.

Automation improves accuracy by going after the causes of errors that surveys find. In Vena's 2026 survey, 78% of respondents had restated or corrected numbers in the past year after marking the close complete. The top causes of the latest correction were data entry or manual errors (28%) and late or missing information from another department (27%). In SixthFin and Odoxa's 2026 study, 1 in 3 finance leaders questioned the reliability of their own figures.

## What should you look for in month-end close automation software?

Look for five things: it prepares the work from source data, it posts approved entries to your specific ERP, it enforces approvals and keeps an audit trail, it handles your entities and currencies, and it can run where your data must stay. Test it on one real close with your own data before you buy.

For AI features, look for tools that read documents as well as ledger data, explain every difference, and stop to ask when data is missing. Also check whether you can choose the AI model and cap AI spend. To test an AI close tool on one month:

1. **Pick last month's close.** You already did it by hand, so you know the right answers.
2. **Choose three tasks:** one reconciliation, one accrual, and one recurring entry.
3. **Give read-only access** and the same source documents your team used.
4. **Score each output** with the six-check test, and compare the amounts with your posted entries.
5. **Time the review:** count reviewer minutes per item against your team's preparation hours.
6. **Ask for references** on your ERP and at your size. A result on your own data tells you more than any case study.

For named products compared by the work they do, see the [best month-end close software](https://emptyspaces.ai/resources/blog/best-month-end-close-software).

## How we approach it

We built our Close Agent to do the close work inside the ERP you already run: it reads from and posts approved entries to NetSuite, Oracle, SAP S/4HANA, Microsoft Dynamics 365, Business Central, and QuickBooks, and runs in a dedicated AWS account we manage for you, in your own AWS account, or on-premises. A named approver approves the exact lines before anything posts, and every entry keeps who prepared it, who approved it, and why. To see it on your own close, explore [our Close Agent](https://emptyspaces.ai/product/close).

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