Automated reconciliation infrastructure

Two ledgers disagree about the same money. Tallyrail shows you where.

Connect any two systems that should agree — a payment processor and your bank, your bank and your ledger, an orders feed and a payout file. Tallyrail matches what reconciles and surfaces every missing entry, amount mismatch, duplicate, and late arrival.

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app.tallyrail.com — Reconciliation
Illustrative

Today · two ledgers

Ledger A Ledger B

Live

Matched

1,284

Exceptions

3

Match rate

98%

A · INV-2041 — 12,400

Reference

B · STMT-0088 — 12,400

Matched

A · 5 entries — 61,200

Batch

B · SETTLE-19 — 61,200

Matched

A · INV-2043 — 3,150

Amount mismatch

B · no counterpart

Exception

6

Matching strategies

4

Source connector types

Real-time

Ingestion & detection

Every change

Captured in the audit log

The problem

Reconciliation is still a spreadsheet problem.

Two books, two stories

One system says one thing. The system it should agree with says another. Same money, same day, different numbers.

Manual matching

Your ops team lives in spreadsheets. Half their week is downloading CSVs and cross-referencing PDFs.

Silent leakage

Failed settlements, amount drift, duplicate credits, late arrivals — they pile up unnoticed. The CEO finds out at audit time.

Two sources, a pile of spreadsheets, and leakage nobody sees until audit. Every system you add makes it worse. It's the same story in every finance team.

How Tallyrail works

Two ledgers in. One source of truth out.

  1. Step 1

    Ingest

    Bring in the two sides you need to reconcile — CSV or Excel, you pick the columns, or connect a processor like Paystack or Flutterwave by webhook. Add more sources as you grow.

  2. Step 2

    Normalize

    Every source maps to one canonical transaction shape — amounts in minor units, ISO currency, normalized status. New sources are adapters, not new code.

  3. Step 3

    Match

    Six matchers you order into a pipeline: exact reference, amount window, fuzzy reference, counterparty name, batch settlement, and status consistency. Every match is explained, scored, and reversible.

  4. Step 4

    Surface

    What rules can't match, an AI sweep takes a second pass at — suggesting pairings for a human to confirm. Anything still unmatched becomes an exception with severity, context, and a full audit trail. Nothing falls through the cracks.

  5. Step 5

    Report

    Daily digests to your team. Printable reconciliation reports for finance. CSV exports for auditors. A real-time dashboard for everyone.

AI assist

Rules settle the obvious. AI takes the long tail.

Most reconciliation is exact matches; the value is in what's left. That's where Tallyrail's AI works — with your team in control of every call.

Suggested mappings

Upload a file and AI reads your headers and a few sample rows to propose the column mapping. You confirm — first-time setup stops being a guessing game.

Adjudicated matches

For borderline pairs the rules can't settle, AI weighs the evidence and returns a verdict with a written rationale. Advisory — your team sees and can override every call.

Long-tail sweep

AI works the unmatched queue one row at a time — pairing what the rules missed and auto-closing the obvious non-pairs like fees and internal transfers.

Learns your book

Every pairing and unmatch your team makes becomes an example the model reasons from next time. The more you reconcile, the sharper it gets.

Who it's for

Built for teams that reconcile at volume.

Treasury & Finance

Stop closing books from spreadsheets. See your position across every source in one view.

Operations

Stop being the human reconciliation engine. Get exceptions surfaced as they happen, not at end of month.

Engineering

Stop writing one-off scripts. Source adapters, matching rules, and audit logs as configurable infrastructure.

High transaction volume Multiple systems of record Multi-currency operations

Why Tallyrail

Reconciliation as infrastructure, not a spreadsheet.

Every source is an adapter.

Everything normalizes to one canonical transaction shape — amounts in minor units, ISO currency, normalized status. Paystack, Flutterwave, bank statements, and any CSV or Excel are first-class. A new source is configuration, not a code change.

Explainable, scored, reversible.

Every match shows why it matched and how confident it is. An AI sweep takes a second pass at what the rules miss. And every change — every match, unmatch, and override — is captured in the audit log.

Get started

Talk to us about your reconciliation.

Tell us what you reconcile and where it hurts. We reply within one business day.

Prefer to start now? Create an account and start your 7-day free trial. Already a customer? Email [email protected] .