Tool · Finance · Month-end close + reconciliations · Oct 2026

FloQast AI review (Oct 2026): AI assists for month-end close and reconciliations

FloQast is close management software for accounting teams: a close checklist, balance-sheet reconciliations with sign-offs, and a growing set of AI features that match transactions, draft explanations, review journal entries, and run agents built from your own close. FloQast says nothing hits your books without human approval. This page walks through each part with a real close task, a Try this, and where the preparer, reviewer, and controller still sign off.

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What this FloQast AI page covers

This page is for controllers, accounting managers, and staff accountants who close the books every month, often with Excel workpapers and an ERP such as NetSuite, Sage Intacct, SAP, Workday, Microsoft Dynamics, or Xero. The question it answers: which close tasks can FloQast’s AI take on, what does a person still have to check, and what does the audit trail look like?

Company (checked 6 October 2026): FloQast is a private company in Los Angeles, founded by former accountants. It says more than 3,500 companies use it, and in January 2026 it announced it had passed $200 million in annual recurring revenue. FloQast says it holds ISO 42001 certification and SOC 2 Type II compliance. At its TakeControl conference on 16 September 2026 it announced new AI features, covered below. Those are FloQast’s statements.

Who signs off: FloQast’s pitch is “AI prepares, your team reviews.” Every reconciliation still has a named preparer and reviewer, every agent is approved by an accountant before it runs, and the controller owns the close. Everything below comes from FloQast’s pages as we read them on 6 October 2026.

Simple FloQast AI brand mark diagram
A simple mark we drew for this page. Where we couldn’t get a clean product screenshot, we used simple diagrams of the workflow instead.

Major features (with how someone uses them)

Examples at a glance: each feature has a concrete example from a real job plus a short Try this you can run this week.

1. AI Transaction Matching (primary)

What it is: AI Transaction Matching matches high-volume transactions across data sources — bank and credit card reconciliations are FloQast’s examples — including 3-way matching across three sources. You can write matching rules in plain language and adjust them without IT. Unmatched items and discrepancies are flagged and routed to the right people, and every matching action is kept in an audit trail. The match is a proposal; the preparer ties out what is left and the reviewer signs off.

The risky part of auto-matching is the exceptions nobody looks at, and the matches nobody questions. Plan time for both.

Concrete example (accounting manager reconciling the operating bank account) An accounting manager runs AI Transaction Matching on the operating account. Most deposits match on day one. Fourteen items are left: two are timing differences, nine are bank fees not yet booked, and three are a duplicated vendor payment. She documents each one against the bank statement, books the fees, and flags the duplicate to AP before signing as preparer.
Workflow from bank and ledger data to AI-proposed matches to a preparer tying out unmatched items by hand to a reviewer sign-off
Simple workflow: AI proposes the matches, the preparer ties out every unmatched item by hand, and the reviewer signs off. Simple diagram — not an official product screenshot.
Try this

Primary workflow:

Pick one balance-sheet rec. Let FloQast’s AI draft the match. Tie out every unmatched item by hand.

2. Account reconciliations and sign-off

What it is: FloQast pulls each account’s balance from your ERP and stores the support — bank statements, subledger detail, schedules, or spreadsheets. If the general ledger shifts after sign-off, alerts go out by email, Slack, or Teams so sign-offs don’t go stale. Materiality thresholds decide whether a rec ties; anything that doesn’t becomes a reconciling item with an owner, description, and age. Each rec has a preparer, a reviewer, and a due date, and a completeness check confirms every account was reconciled. FloQast can auto-sign-off unchanged and zero-balance accounts — decide as a team which accounts, if any, should use that.

Concrete example (controller at a 400-person software company) A controller reviews auto sign-offs for zero-balance accounts and finds one suspense account that had activity mid-month but netted to zero by month-end. She removes it from auto sign-off so a person reviews it every close.
Diagram of a reconciliation with the ERP balance, support files, and reconciling items beside a sign-off panel with preparer and reviewer
Simple diagram of a reconciliation next to a sign-off panel. Not a FloQast screenshot — the layout is ours. Simple diagram — not an official product screenshot.
Try this

Check the auto sign-offs:

List every account set to auto sign-off. For each, check whether it had any activity during the month (not just at month-end), and move any that did back to manual review.

3. Transform AI agents built from your close

What it is: FloQast Transform builds AI agents for close work. The Builder can take files from a close your team already finished — or a description of inputs and outputs — and rebuild the process as an agent; FloQast announced this at TakeControl in September 2026. Skills are reusable steps such as fetching a trial balance, creating a journal entry, validating data, or posting a reconciliation. The Library has prebuilt agents to tailor. FloQast says each agent is tested against numbers your team already approved, shows its reasoning on every flag, and is signed off by an accountant before it runs.

Concrete example (senior accountant who owns prepaid amortization) A senior accountant hands Transform last quarter’s finished prepaid schedules. The agent rebuilds the process and ties to last quarter’s approved numbers. She checks one new prepaid added this month by hand before approving the agent for the next close.
Workflow from a finished close to an agent built by Transform to a test against approved numbers to an accountant approving before it runs
Simple workflow: build from a finished close, test against numbers you already approved, and approve before it runs. Simple diagram — not an official product screenshot.
Try this

Test on a known month:

Build one agent from a close you already signed off. Run it on that same month and compare every output line to the approved workpaper before you let it touch the current period.

4. AI Assistant and journal entry review

What it is: FloQast’s AI Assistant sits on every page and answers questions from your own records — where the close stands, how a balance compares with last month, or what looks off. Its first review job, announced in September 2026, is journal entry review in FloQast Journal Entry Management: when a preparer submits an entry, the reviewer can ask for an AI review that flags errors and anomalies, scores audit risk, explains its reasoning, and recommends a fix. FloQast says the human makes every call.

Concrete example (assistant controller approving accruals) An assistant controller asks for an AI review on a large accrual. It flags that the entry hits a revenue account instead of deferred revenue. She checks the contract, agrees, and sends it back to the preparer with a note rather than editing it herself, so the fix is documented.
Try this

Review the reviewer:

For one week, ask for an AI review on every manual journal entry over your materiality threshold. Log each flag as right or wrong after your own check, and share the tally with your team.

5. AI flux and budget variance analysis

What it is: Once reconciliations are complete, FloQast Variance Analysis builds flux reports from your thresholds and assignments, notifies preparers when a fluctuation needs an explanation, and uses AI to help find variance drivers and draft explanations. Budget variance compares final balances to budget for FP&A. Reviewers leave notes, and every sign-off is logged. An AI-drafted explanation is a starting point — keep only the reasons you can trace to a transaction.

Concrete example (staff accountant explaining operating expense swings) A staff accountant gets a draft explanation that software expense rose because of “new tools.” She opens the detail and finds one annual renewal was booked in a single month instead of prepaid. She rewrites the explanation, and the reclass goes to her reviewer.
Workflow from completed reconciliations to threshold-based flux report to an AI-drafted explanation to an accountant tracing it to transactions
Simple workflow: AI drafts the why, and the accountant keeps only reasons backed by transactions. Simple diagram — not an official product screenshot.
Try this

Trace every reason:

Take three AI-drafted flux explanations. For each reason, open the transaction behind it. Delete any reason you cannot trace, and note what the real driver was.

6. Detect: anomaly monitoring on the GL

What it is: FloQast Detect learns normal patterns for each account and subsidiary from your history and flags unusual transactions as they hit the general ledger, sorted by severity and routed to an owner. You can add your own rules on top. Reviews and sign-offs are kept in an activity log. FloQast also says a COSO GenAI governance module is coming “soon” to wrap agents in COSO-style controls — treat that as announced, not shipped, until you see it in your account.

Concrete example (controller at a multi-entity retailer) Detect flags a large payment posted to a subsidiary that rarely uses that expense account. The owner traces it to a miscoded invoice and reclasses it before close. The controller adds a rule so payments over a set amount to that account always route for review.
Try this

Flag, then a person:

For the first month on Detect, have one named reviewer clear every flag and mark it as real issue or noise. Turn the most common real issue into a rule you own.

Pricing context (October 2026)

FloQast does not publish prices. Its pricing page (checked 6 October 2026) says there are no per-user fees and that packages are tailored to your business. It lists three packages without figures: Close Management (close checklist, account reconciliations, accounting operations, projects, AI Assistant, ERP integration), Close AI (Close Management plus AI agents, AI matching, automated reconciliations, and journal entry posting), and Risk & Compliance (controls, audit readiness, ERM, operational audits; on its own or with a close package).

FloQast offers free product training, free CPE, and a free FloQast Certified Accountant (FCA) program. The COSO GenAI governance module was announced as coming soon in September 2026.

Uncertainty: Pricing is quote-only, so budget from a written quote that names the package, which AI features are included (matching, agents, Detect, variance analysis), and any implementation fees. Ask your auditors early how they will test AI-prepared reconciliations and agent outputs, and confirm what audit evidence FloQast exports.

FloQast quotes by package, so the real cost depends on what your ERP, reconciliation, and general AI seats already cover. Check what you already pay for first: the $9 AI toolkit spreadsheet lists close and AI tools side by side before the quote call. See what the $9 AI toolkit spreadsheet covers or how the $19 AI toolkit audit works.

Get the spreadsheet — $9

Want someone to do it for you? AI toolkit audit — $19

When it’s useful (honest take)

Useful when your close runs on Excel workpapers and a checklist you already trust, you have high-volume matching (bank, credit card, intercompany clearing), and your team will review exceptions and agent outputs every period. Useful too when auditors want clear preparer and reviewer sign-offs.

Less useful when your close process isn’t written down yet — FloQast itself suggests documenting first — or you only reconcile a handful of accounts a month. Less useful if anyone expects AI to sign off: the preparer, reviewer, and controller still own every reconciliation and entry.

Related options (educational)

Where month-end close and reconciliation jobs can live (Oct 2026)
NeedBetter homeWhy
Close checklist, recs, and AI agents for Excel-heavy teamsFloQast (this page)Accountant-built agents with sign-offs
Large-scale matching, journal entry, and intercompanyBlackLine AIBuilt for bigger, multi-ERP finance teams
AI inside the ERP itselfNetSuite AI or Sage Intacct AIFewer tools if the ERP covers it
Small-business booksQuickBooks AI or Xero AILighter close needs
Spend cards and bill pay before the closeRamp or BILLCleaner data going in
One-off analysis of an exportClaude for financeSanitized files only; no sign-off trail

FAQ

Does FloQast AI post entries or sign off on its own?

FloQast says nothing hits your books without human approval. Reconciliations have a named preparer and reviewer, agents are approved by an accountant before they run, and AI journal entry review only recommends; the reviewer decides.

How much does FloQast cost in October 2026?

FloQast does not publish prices. On 6 October 2026 its pricing page said there are no per-user fees and listed Close Management, Close AI, and Risk & Compliance packages without figures. Contact FloQast for a quote.

What is FloQast Transform?

FloQast’s AI agent product. It can build an agent from a close your team already finished, from reusable accounting steps, or from a prebuilt library agent, and it is tested against numbers your team approved before an accountant signs off.

Which ERPs does FloQast work with?

FloQast’s site lists solutions for NetSuite, Sage Intacct, SAP, Workday, Microsoft, Xero, and AWS. Confirm the exact connector for your ERP version during the demo.

Will auditors accept AI-prepared reconciliations?

That is your auditors’ call. FloQast says every AI action is logged and exportable and that it holds ISO 42001 and SOC 2 Type II. Walk your auditors through one AI-matched reconciliation, with its sign-offs, before you rely on it.

Optional next step (if seats overlap)

If you pay for FloQast, AI features in your ERP, and a general AI assistant your accountants use for flux notes — and more than one touches the same close task — that overlap is worth a look. Map the overlap with the $19 AI toolkit audit or the $9 AI toolkit spreadsheet. Email Audit $19 or Toolkit spreadsheet $9.

Buy $19 AI toolkit audit

Checkout is live via Stripe. After you pay, we email delivery (spreadsheet) or intake next steps (audit).

Related: BlackLine AI · NetSuite AI · Sage Intacct AI · Xero AI · Ramp · ChatGPT for finance · Claude for finance · Stack map for finance ops · How-to: Run a 15-minute close standup from FloQast status, not a spreadsheet

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