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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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AI Finance Automation

Reconcile Your Bank and Ledger Automatically

AI matches every bank statement line to the right ledger entry on amount, date, reference and pattern. It clears the easy matches on its own, groups the likely ones for a quick confirm, and flags the real exceptions for a person. Reconciliation stops being a monthly slog.

50+ ERP and software projects. Zero failed projects since 2021.

Bank statement Match Ledger entry
NEFT ACME TRADING₹ 1,24,50002 Aug
INV-2041 Acme Trading₹ 1,24,50002 Aug
UPI RASHMI STORES₹ 38,90002 Aug
Receipt RS-889₹ 38,90001 Aug
IMPS VENDOR PAYOUT₹ 76,00003 Aug
Bill BP-1207₹ 76,00003 Aug
CHG BANK FEE₹ 2,36003 Aug
No ledger entry found
Most
Lines matched automatically
4
Signals: amount, date, reference, pattern
Faster
Month-end close
Fewer
Manual matching errors
Why It Matters

Line-by-line reconciliation eats a week you do not have

The work is repetitive, the volume is high, and one wrong match hides a real problem. This is exactly the kind of task AI handles well, with a person on the exceptions.

Clear the easy volume

Most lines match on their own

The bulk of every statement is routine: a payment in, a receipt out, a transfer that lines up cleanly with a ledger entry. The AI clears those confident matches without asking, so your team never opens them again.

  • Confident matches cleared automatically.
  • Likely matches grouped for a quick confirm.
  • A short queue instead of a full statement.
An accountant reviewing reconciled bank transactions
Catch the real exceptions

The problems surface instead of hiding

A missing entry, a duplicate, a bank charge with no record, an amount that is off by a little: these are the lines that matter. The AI pulls them out and labels them, so a person looks only at the cases that need judgement.

  • Only the true exceptions reach a person.
  • Each one is labelled with why it was flagged.
  • Errors get found early, not at year end.
Finance team reviewing flagged reconciliation exceptions
How A Match Is Decided

It reads more than the amount

For every bank line, the AI weighs four signals against your ledger. When they line up, the pair clears. When only some line up, it becomes a quick confirm. When they do not, it is flagged.

Bank statement Match Ledger entry
Amount and date agree₹ 2,10,00005 Aug
Reference and pattern agree₹ 2,10,00005 Aug
Same payer, amount close₹ 44,00006 Aug
Confirm this likely match₹ 44,05006 Aug
Reversed transfer₹ 9,80007 Aug
Nothing lines up, sent to a person
How It Works

From raw statement to a reconciled ledger

1
Read the feed
It pulls your bank statement lines and your ledger entries for the period.
2
Match on four signals
It weighs amount, value date, reference and payer pattern for every line.
3
Clear the confident ones
High-confidence pairs are matched and cleared without a person touching them.
4
Group the likely ones
Partial matches are grouped for your team to confirm in a couple of clicks.
5
Flag the exceptions
Anything that does not fit is labelled and sent to a person to resolve.
What It Handles

The cases that slow a manual reconciliation down

These are the everyday situations the AI is built to sort, so your team is not the one untangling them by hand.

💳

One-to-one matches

A single bank line against a single ledger entry, matched on amount, date and reference and cleared automatically.

🧮

Split and grouped payments

One bank credit that settles several invoices, or several receipts that make up one deposit, grouped and reconciled together.

📋

Messy references

Short bank narrations, missing invoice numbers and inconsistent payer names, read on pattern rather than an exact string.

💸

Fees and charges

Bank fees, interest and small deductions that never had a ledger entry, flagged so they can be posted correctly.

🔄

Duplicates and reversals

Repeated credits, reversed transfers and double postings caught before they quietly break the balance.

Timing differences

Entries that hit the bank and the ledger on different days, matched across the gap instead of showing up as a mismatch.

What Changes

What automating reconciliation gives back

Most
Lines matched with no manual step
Faster
Time to a closed period
Fewer
Matching errors in the books
Short
List of real exceptions to work
Early
Warning on duplicates and gaps
Human
Confirm on the edge cases
Why Us

Why teams choose TCB Infotech for finance automation

1
We know the ledger
We build and run ERP and accounting systems, so the AI reads your real ledger and writes back cleanly.
2
Tuned on your history
We train the matching on your own statements and payers, not a generic ruleset, so it fits how your money moves.
3
A person stays in control
The AI clears volume and proposes matches. Your team confirms the likely ones and owns the exceptions.
4
Model agnostic
We choose the models that suit your accuracy needs and hosting rules, and can change them later without a rebuild.
5
Runs beside your process
We run it alongside your current reconciliation until you trust the results, then switch over.
6
Proven delivery
50+ projects across industries, with zero failed projects since 2021.
FAQ

Bank reconciliation automation questions

What is AI bank reconciliation?
It is a way to reconcile your bank statement against your ledger without checking every line by hand. AI matches each bank line to the right ledger entry on amount, date, reference and pattern. It clears the confident matches on its own, groups the likely ones for a quick confirm, and flags the true exceptions for a person to review.
How does the AI decide what is a match?
It looks at more than the amount. It compares the amount, the value date, the reference or narration, and the pattern of how a payer or vendor usually appears. When several of these line up, it treats the pair as a confident match. When only some line up, it groups the pair as a likely match for you to confirm.
Does a person still review anything?
Yes. The point is not to remove people from the close. The AI clears the easy volume and hands your team a short list of only the real exceptions and the likely matches, so a person spends their time on the cases that actually need judgement.
Which model does it use?
The approach is model agnostic. We fit the matching and language handling to the models that suit your data, your accuracy needs and your hosting rules, and we can change models later without rebuilding your process.
Does it work with our accounting or ERP system?
Yes. It reads your bank statement feed and your ledger, whether the ledger sits in your ERP, your accounting system or a database we already run for you, and it writes back the matched and cleared entries so your books stay in one place.
How long does it take to set up?
For a single set of accounts it is usually a short project. We start with your real statements and ledger, tune the matching on your own history, and run it alongside your current process until you trust the results.

See Your Own Statement Reconciled by AI

Book a free consultation. Bring a recent statement and your ledger, and we will show you how much of it the AI would match on its own and what would reach a person.

Book a Free Consultation →

No commitment. A practical first look at your reconciliation.