Financial Reconciliation with AI Bank, processor and ledger matched daily, breaks explained
Bank, payment processor and ledger are matched every morning; only the breaks that need judgement reach the accountant.
- Installed for you · one-time$249
- Run for you$297/month
- Custom build · this process$5,000–9,000 one-time
- Starts whenSchedule Trigger (daily, after bank feeds settle)
Covers one entity, one ledger, up to three bank/processor sources and 10,000 transactions a month. Multi-entity and intercompany reconciliation are a custom build. Custom builds start at $2,000 site-wide; this band is for this process and its integrations.
Financial Reconciliation with AI is an automation Agentmelt installs in your own tools. The free template is a file you import yourself; the kit ($49) adds the setup guide and prompts. Installed for you costs $249 one-time and is live within two working days of access, with a recorded walkthrough and 30 days of fixes. Run for you costs $297/month, with setup and maintenance included. A custom build of this process is $5,000–9,000 one-time; custom builds start at $2,000 site-wide. No call is needed for any option. Written by Max Zeshut; last revised 2026-09-18.
Reference stack: Claude + n8n. Node names are on each step; the file is under the template.
Founder at Agentmelt
Reviews every build before it goes live; the workflow escalates to a person, never past one.
What is financial reconciliation?
AI financial reconciliation (or account reconciliation) is daily matching of the three sides — bank transactions, payment-processor payouts and ledger entries — by rules, with a language model explaining the breaks the rules cannot. Exact matches on amount and reference, one-to-many matches for processor payouts (payout = transactions − fees − refunds) and tolerance matches clear most lines deterministically; what remains is grouped by cause (timing, fees, refunds, chargebacks, duplicates, unknown), known patterns get a proposed journal entry, and for the unknowns the AI agent reads descriptions, amounts, dates and nearby transactions and writes the most likely explanation with its confidence. An accountant approves, edits or investigates; approved entries post to the ledger with the evidence attached. Month-end becomes a short list of aged, unexplained items.
- The first week of every month goes on matching Stripe payouts to invoices in a spreadsheet.
- Fees, refunds and chargebacks make every payout a puzzle.
- We have three bank accounts, two processors and one person who understands the reconciliation.
- Auditors ask for the reconciliation file and we rebuild it from memory.
- Breaks from March are still open in June because nobody had time to investigate.
If two of these are yours, this is the process to look at first. Free audit — or read on.
What it looks like once it runs.
Reconciliation is matching: bank lines to ledger entries, processor payouts to invoices, intercompany balances to each other. Almost all of it is deterministic, and the part that is not — explaining why a break exists — is what the AI agent does. The workflow runs daily, so month-end becomes a short list of unexplained items instead of a week of matching.
- 6:00 Bank transactions, processor payouts and ledger entries are pulled after the feeds settle.
- 6:05 Exact matches clear; payouts are matched to their transactions minus fees.
- 6:10 Remaining breaks are grouped — timing, fees, refunds, chargebacks — and the unknowns get a written explanation.
- 8:00 The accountant gets the proposed entries with approve / edit / investigate; approved ones post with the evidence attached.
Reconciliation happens at month-end, by hand, in spreadsheets. Payment-processor fees, refunds and timing differences create hundreds of small breaks that take days to explain, and the close slips.
Every morning the ledger is matched to yesterday's bank and processor activity. Auto-matches are posted, proposed entries for known patterns (fees, FX, timing) wait for one-click approval, and the controller sees only the genuinely unexplained breaks with the agent's best explanation attached. Close time drops from days to hours.
Trigger, then 8 steps.
Seven of the eight steps run without anyone. Step 05 waits for a person.
Schedule Trigger (daily, after bank feeds settle)
Pull the three sides
Bank transactions (Plaid or bank API), processor payouts and transaction detail (Stripe, Adyen, PayPal), and ledger entries (NetSuite, Xero, QuickBooks, Sage) for the period.
Match deterministically
Exact matches on amount and reference; one-to-many for processor payouts (payout = sum of transactions − fees − refunds); tolerance matching for FX; each match tagged with the rule that made it.
Classify the breaks
Unmatched items grouped: timing (in transit), fees, refunds, chargebacks, duplicates, unknown. Known patterns get a proposed journal entry from the rules sheet.
Explain the unknowns
For remaining breaks the agent reads the descriptions, amounts, dates and nearby transactions and writes the most likely explanation with the evidence — never posting anything.
Route for approval
Proposed entries and explanations to the accountant with approve / edit / investigate buttons; anything above a threshold goes to the controller.
Post approved entries
Approved journal entries posted to the ledger with the match evidence attached; the reconciliation report updated.
Maintain the reconciliation file
A living reconciliation per account: matched, proposed, open, aged — the file auditors ask for, always current.
Close-readiness report
Daily count and value of open breaks by age and type; a red flag when an item passes 5 days unexplained.
Every morning the ledger is matched to yesterday's bank and processor activity
Every morning the ledger is matched to yesterday's bank and processor activity.
One decision, at step 05. Seven steps ran without you.
Each pattern page explains it in plain words and lists every automation that uses it.
The template is built on n8n (how the n8n AI Agent node works); the same steps run on Make, Zapier or plain code. The tool is chosen to fit your accounts, you own the result, and the template comes in all three formats.
Data it touches
- Bank feeds (Plaid, direct bank API)
- Payment processors (Stripe, Adyen, PayPal, Braintree)
- General ledger (NetSuite, Xero, QuickBooks, Sage)
- Matching and journal rules (finance-owned sheet)
Guardrails
- Nothing posts to the ledger without an accountant's approval; auto-matching only marks, it does not create entries.
- The agent explains; it never proposes an amount that is not derivable from the data.
- Every posted entry carries the match evidence and approver for audit.
- Aged open items escalate automatically so nothing hides until close.
Daily beats monthly
A break that is one day old is easy to explain: the transaction is right there. A break that is thirty days old is an investigation. Running the match daily is the single biggest change, and it is pure scheduling — the same matching logic, run every morning instead of once a month. The close stops being an event because the reconciliation is always nearly done.
Processor payouts are where the breaks live
A Stripe payout is one bank line that represents hundreds of transactions minus fees minus refunds plus adjustments. Matching it by hand is where reconciliation time goes. The one-to-many step uses the processor's own payout report to decompose each payout, matches the components to invoices, and proposes the fee and refund entries automatically. Most teams see their unmatched count fall by an order of magnitude from this step alone.
What it connects to.
| Tool | Role in this workflow |
|---|---|
| n8n | Data pulls, matching engine, approvals, posting |
| Claude | Break explanations |
| NetSuite / Xero / QuickBooks | Ledger |
| Stripe / Adyen + Plaid | Processor and bank data |
Want this running without building it?
$297/month
We set it up in your tools, run it on our servershost it on our n8n cloud (or deploy it to your own n8n, Make or Zapier), watch it, and fix it when something changes. Setup included, cancel monthly; the automation stays yours if you leave.
$5,000–9,000 one-time
Your systems, your rules, your edge cases. A one-off build delivered into your accounts to keepon Claude and n8n, delivered into your accounts to keep, with documentation and a recorded walkthrough.
Covers one entity, one ledger, up to three bank/processor sources and 10,000 transactions a month. Multi-entity and intercompany reconciliation are a custom build.
Also sold one-time, installed in your own accounts, as part of the accountants package and the accounts payable teams package and the financial analysts package — do it yourself $49 · installed for you $249 · done for you $490.
When this becomes a custom build.
The subscription covers the standard version — $297/month, setup and maintenance included. Three things move it to a custom build ($5,000–9,000 one-time), delivered into your accounts to keep. If one of them is you, say so on the audit and the plan prices both.
More than one entity, or intercompany balances that have to net across ledgers.
More than three bank or processor sources, or above 10,000 transactions a month.
Adjusting entries posted automatically under rules you sign off, rather than proposed for review.
Running the standard version first is the usual path: the exceptions it logs in the first month are the scope of the custom build, with your own numbers. How custom builds work.
Frequently asked questions.
Does this replace our accountant?
It replaces the matching. The accountant approves proposed entries, investigates the genuinely unexplained breaks with the agent's notes, and owns the close.
Which ledgers are supported?
NetSuite, Xero, QuickBooks Online, Sage Intacct and Dynamics via API; others via export/import as a custom step.
Is it auditable?
Every match records the rule, every posted entry records the evidence and approver, and the reconciliation file is always current. Auditors get a live document instead of a month-end spreadsheet.
What does an AI-powered reconciliation tool do that the accounting system’s bank feed does not?
The bank feed matches one bank line to one ledger entry by amount and date. Reconciliation across a processor needs one-to-many matching — a payout against dozens of transactions minus fees and refunds — tolerance rules for FX and rounding, and an explanation for every remaining break, which is the part that eats the month-end. The workflow adds those on top of Xero, QuickBooks or NetSuite and writes the result back as proposed entries, so the ledger stays the system of record.
Can AI reconciliation handle several sources — banks, processors, an ERP?
Yes. Each source is pulled on its own schedule — the bank through Plaid or its own connection, Stripe, Adyen or PayPal through their exports, the ledger through its integration — into one matching run per account. Up to three sources and about 10,000 transactions a month fit the standard install; more entities or intercompany netting is a custom build.
Is automated reconciliation auditable?
More than the spreadsheet was. Every match records the rule that made it; every proposed entry carries the evidence and who approved it; the reconciliation file per account — matched, proposed, open, aged — is always current, which is the document auditors ask for. The AI agent’s explanations are labelled as such and never post without a person’s approval.
What this blueprint is built on.
Vendor documentation the steps rely on, and the rules the guardrails are written against.
- Stripe — Balance transactions API docs.stripe.com/api/balance_transactions
- Plaid — Transactions plaid.com/docs/transactions/
- Xero — Developer documentation developer.xero.com/documentation/