private deployment

Enterprise
reconciliation,
deployed for
your stack

Reconify is installed inside your infrastructure and configured by our team. Deterministic matching, structured diffs, and a repeatable reconciliation workflow without managing the rollout yourself.

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documentation →·github →

Private deployment

Implementation support

Audit-ready outputs

reconify.com/results/a154af3a

Reconify

Reconciliation results

← New Reconciliation

Reconciliation Results

bank.csv vs ledger.json

Export Unmatched

Cleared rate

97.2%

1,224,858 of 1,260,142 transactions cleared

Source volume

1,260,210

685,320 left source — 574,890 right source

Open items

2 left — 1 right

Review items

5 amount — 18 timing — 42 duplicate

Cleared1,224,858

Open items3

Amount variances5

Timing variances18

Duplicates42

Export

Left sourceRight sourceStatus

REF-29183

$4,244.49

May 10, 2024

Stripe payout

REF-29183

$4,244.49

May 10, 2024

Stripe payout

Cleared

REF-41023

$1,665.72

Apr 9, 2024

Invoice #8821

REF-41023

$1,665.72

Apr 9, 2024

Invoice #8821

Cleared

0records matched

0.0%match rate

0exceptions surfaced

reconciliation engine

From raw exports to structured output

Sources, rules, and output — three stages that run the same way every close period, without spreadsheet drift.

reconify reconciliation runlive

# source mapping

bank.csvbank export

psp-report.csvpayment rails

ledger.jsoninternal truth

transactions.csverp export

→ normalize: dates, identifiers, amounts

implementation

Three steps to repeatable reconciliation

The deployment starts with your exports and ends with a workflow your finance team can run each close period.

01source mapping

Connect Your Sources

Bring bank exports, PSP reports, ledgers, and internal files into one reconciliation workflow.

02rule config

Configure Rules

Set identifiers, date windows, amount tolerances, and exception categories for repeatable runs.

03automated run

Reconcile Automatically

Run deterministic matching and review structured diffs instead of rebuilding spreadsheets.

demo

See Reconify in action

Watch how Reconify handles multi-source reconciliation — from raw exports to structured, audit-ready output.

capabilities

Deployment features for repeatable reconciliation

Built for finance and engineering teams that value accuracy, repeatability, and clear operational evidence.

matching

Automated Matching

Rules match transactions across exports and systems without spreadsheet drift between runs.

sources

Multi-Source Integration

Bank exports, payment processor reports, ERP ledgers, and CSV files move through the same workflow.

audit

Audit Trail

Structured outputs show each match, exception, tolerance, and reconciliation result.

exceptions

Exception Alerts

Missing, duplicate, timing, and amount issues surface as labeled records for finance review.

dashboard

Finance Dashboard

Enterprise teams can monitor runs, review results, and track reconciliation work in one place.

workflow

Team Collaboration

Finance and engineering share a repeatable workflow with clear ownership and access boundaries.

audit output

Structured, audit-ready results

Every run produces labeled output — matched records, exceptions by type, and metrics ready for finance review or downstream export.

audit_output run_20241201

total records

1,261,210

matched

1,260,142

exceptions

run id

run_20241201

statussourcetargetcount

matchedbank.csvledger.json1,260,142

missingpsp-report.csv—3

duplicatebank.csvbank.csv42

timing gappsp-report.csvledger.json18

amount issueledger.jsonbank.csv5

open source cli

Or if you have a dev team, they can run it directly.

The open-source Reconify CLI runs the same deterministic engine without the dashboard. Your engineers can script reconciliation runs, pipe JSON output into downstream systems, and embed audit trails into your existing CI or finance automation.

Same matching engine as the managed platform
JSON, NDJSON, CSV, and table output formats
Audit-ready output with SHA-256 file hashes and run provenance
Streaming mode for large files without memory pressure

View on GitHub →Read the docs →

terminalreconify v0.1.1

# Install

$go install github.com/reconifyhq/reconify/cmd/reconify@latest

# Validate your config

$reconify config validate

# Check a source file matches your schema

$reconify config check-source --source bank --file export.csv

# Run a reconciliation

$reconify reconcile --pair bank-ledger

✓ matched 1,260,142 records in 4.32s

# JSON output with audit trail

$reconify reconcile --pair bank-ledger --audit --deterministic --out results.json

✓ run_id: a154af3a, sha256 embedded, output saved to results.json

faq

Frequently asked questions

Deployment boundaries, source mapping, and implementation scope for finance and engineering teams.

How does Reconify handle complex matching scenarios?

Reconify uses configurable matching rules, identifiers, date windows, and amount tolerances to compare records across sources. The output labels matches, missing records, duplicates, timing gaps, and amount issues.

What integrations does Reconify support?

Reconify supports workflows built from bank exports, payment processor reports, accounting ledgers, manual CSV uploads, and internal APIs. The implementation maps each source into the same reconciliation engine.

Is financial data sent to a hosted Reconify service?

Reconify runs inside your infrastructure for private deployments. Files, logs, and outputs stay within the boundary your team chooses.

How long does implementation take?

Implementation depends on the number of sources, export formats, and rules. A first run usually starts with mapping source columns, configuring match logic, and reviewing the structured output.

Can I customize matching rules?

Yes. Teams can define matching logic, tolerance levels, source mappings, and exception handling to match their reconciliation workflow.

ready to ship

Make reconciliation repeatable.

Talk through your source systems, matching rules, deployment boundary, and first reconciliation workflow with the Reconify team.

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