Closing Without the Month-End Scramble
Most of a close is discovering things that happened three weeks ago. Reconcile daily and the close becomes a review instead of an excavation.
Reconciliation That Runs Daily
Bank transactions matched to invoices and receipts as they clear, so a mismatch surfaces the day it happens rather than during a month-end scramble.
60% Time Savings
Matching, categorizing, and posting stop being somebody's entire Thursday. What's left is judgment, which is the part clients were paying for anyway.
Anomaly Flags, Human Calls
Duplicate payments, amounts well outside a client's normal range, a vendor nobody has seen before. The system flags. A person decides.
Every Account, Every Unmatched Item
One screen for all of it. The AI does the matching and you do the approving, which is the correct division of labor and the one most vendors quietly invert.
- Recurring Journal Entries
Set once, posted on schedule, adjusted for the months that don't behave like the others.
- Invoice Matching
Incoming payments matched to open invoices across clients and accounts, including the ones that arrive with no reference number attached.
- Multi-Entity Support
Entities, subsidiaries, and bank accounts on one screen. That's the difference between a five-minute check and a lost morning.
- Reporting That Keeps Up
Summaries update as transactions post, so you stop learning where a client stands three weeks after it mattered.
Reconciliation: Chase Business Checking
142
Matched
7
Needs Review
2
Anomalies
Payment from Client ABC Corp
Invoice #1087
+$4,500.00
ACH Transfer - Payroll
Recurring Entry
-$12,340.00
Wire Transfer - Unknown
No match found
+$8,200.00
Who It's For
Bookkeepers carrying more accounts than anyone can reconcile by hand
Bookkeeping Firms
More clients per bookkeeper, without the per-client hours growing at the same rate.
CPA Practices
Client books that stay close to audit-ready all year instead of getting cleaned up every March.
Small Businesses
Accurate books without a full-time accounting hire you can't yet justify.
Property Management
Rent rolls, maintenance bills, and owner distributions reconciled across properties that all look alike on a statement.
Anomaly Alerts: All Clients
Duplicate vendor payment detected
$3,200.00
Transaction 4x above average
$18,500.00
Unrecognized vendor, first transaction
$950.00
AI scanned 1,247 transactions across 18 clients today
Automation Without Verification Just Processes Fraud Faster
Any system is only as good as what you feed it. Hand a fast one a fraudulent invoice and you get fraud, processed quickly, with a tidy audit trail showing how efficiently you paid it.
The best-documented version of this happened to two companies with resources no firm reading this will ever have. Over roughly two years, a single scammer invoiced Facebook and Google for computer hardware they never ordered, using forged contracts, fake letterhead, and a company name that matched a real supplier both companies already worked with. The invoices went into accounts payable, looked entirely ordinary, and cleared. Between them the two companies paid out more than 100 million dollars before anybody caught it, and the case is written up at Corcentric. These are organizations with entire departments devoted to controls.
Automation didn't cause that, and doing it by hand wouldn't have prevented it. A four-person firm running the same approvals on paper would have paid those invoices too, only more slowly. What was missing was a verification step somebody actually performed.
So this posts what it can match with confidence and stops on what it can't. A first transaction from an unknown payee, a payment that duplicates one from eleven days ago, an amount several times a client's usual range: all of it goes to a person with the context attached, because deciding whether a vendor is real is a human job and always will be. It's the same instinct behind how we approach firm vendor management, which is worth sorting out before the invoice arrives rather than after.
Frequently Asked Questions
How does automated bank reconciliation work?
It connects to your bank feeds and matches each transaction against invoices, receipts, and expected entries. What it can match with confidence posts. What it can't goes to a review queue with the likely matches ranked, waiting for someone to say yes.
What happens when the AI can't match a transaction?
It sits in the queue with suggested categories and possible matches ordered by confidence. Your team approves with a click, and the correction teaches it. Nothing posts to the books because the software felt reasonably sure on its own.
Can it handle accrual-basis and cash-basis bookkeeping?
Yes, and you set the method per client or per entity. The matching and posting logic adjusts, which matters more than it sounds like when one firm carries both kinds of client.
Does it replace my accounting software?
No, and be suspicious of anything claiming it does. It works alongside QuickBooks, Xero, Sage, or whatever you're already on, automating the entry and reconciliation, then posting results to your platform.
How does anomaly detection work?
It learns what normal looks like for each client: typical amounts, frequency, the vendors that show up every month. When something breaks that pattern, a duplicate payment or an unfamiliar payee or a number several times the usual, it stops and asks. It will flag things that turn out fine. We'd rather it did that than the reverse.
Does the AI ever move money or send anything on its own?
No. It reads, matches, categorizes, and posts entries you've approved. Payment authorization stays with your people and your bank, and every automated action lands in an audit log with a name attached.