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Eterna-X

Match the records. Surface the differences. Resolve with confidence.

Bring financial records from relevant systems into a structured reconciliation workflow. Compare transaction and settlement data, identify mismatches, and help operations teams focus on the exceptions that need attention.

Northbridge Bank / Reconciliation

Reconciliation

Monitor matching performance and manage reconciliation runs.

Total transactions

57,085

Processed records in filtered runs

Matched

55,554

Successfully matched records

Unreconciled

1,531

Records requiring investigation

Average match rate

97.0%

Across completed runs

Dataset totals scoped to the selected runs

Metrics update with your search and filters.

7 runs found

Reconciliation runs

Review execution history and matching outcomes.

Quick filters7 results
Run IDSource pairStatusMatchedUnmatchedDetails
RUN-20260930-052-way reconciliation · Sep 2026Bank correction file ↔ LedgerFailedn/an/a
RUN-20260930-042-way reconciliation · Sep 2026Supplemental bank file ↔ LedgerProcessingn/an/a
RUN-20260930-032-way reconciliation · Sep 2026Bank statement ↔ Payment ledgerCompleted1,60857
RUN-20260930-022-way reconciliation · Sep 2026Card settlement file ↔ LedgerNeeds review9,214311
RUN-20260930-013-way reconciliation · Sep 2026UPI switch ↔ CBS ↔ Bank statementCompleted22,104410
RUN-20260831-022-way reconciliation · Aug 2026Bank statement ↔ Payment ledgerCompleted11,950402
RUN-20260831-012-way reconciliation · Aug 2026POS settlement ↔ LedgerCompleted10,678351

How it works

Five stages take records from separate systems to a clear list of what matched and what needs attention.

  1. 1

    Ingest records

    Import or connect the transaction, settlement, bank, POS, or other agreed source data.

  2. 2

    Normalize the data

    Map relevant fields into the reconciliation model configured for the customer.

  3. 3

    Apply matching rules

    Compare records using the agreed matching criteria.

  4. 4

    Review exceptions

    Surface unmatched records, amount differences, duplicate candidates, or other configured exceptions.

  5. 5

    Resolve and report

    Support investigation and tracking, then review reconciliation results and remaining items.

Overview

Reconciliation means comparing records from payment systems, banks, POS systems, settlement reports and internal finance platforms.

Differences in identifiers, formats, timing, and transaction status make this work difficult to manage manually. Eterna-X Reconciliation is designed to bring relevant records together, compare them using agreed matching logic, and organize unmatched or inconsistent items for investigation. The exact sources, matching rules, and workflows depend on the implementation.

The problems it addresses

  1. Formats and identifiers differ

    Each source describes the same transaction in its own way, which makes direct comparison unreliable.

  2. Manual matching does not scale

    Line-by-line comparison in spreadsheets consumes time that should be spent on the items that are actually wrong.

  3. Exceptions lose their trail

    Once a mismatch is found, its source references and follow-up are easily scattered across emails and files.

Inside the workflow

A workspace built around the exceptions.

Matched records step aside. Unmatched items, amount differences and duplicate candidates are laid out for review.

Key capabilities

What Reconciliation brings to your operations.

  • Multi-source data intake

    Bring in supported records from configured files, systems, or integrations.

  • Configurable matching

    Compare records using agreed identifiers and fields, such as transaction references, amounts, dates, or other available attributes.

  • Matched and unmatched records

    Separate records that meet configured matching criteria from records that require further review.

  • Exception management

    Organize discrepancies and unmatched items so teams can investigate, assign, and track follow-up where supported by the configured workflow.

  • Reconciliation reporting

    Provide structured views of reconciliation outcomes and outstanding exceptions based on available data.

  • Traceable investigation

    Keep source references and reconciliation outcomes connected to support review and follow-up, subject to product configuration.

Business value

What changes for your teams.

Designed for

  • Banks and financial institutions
  • Finance and reconciliation teams
  • Payment operations teams
  • Retail and merchant operations
  • Organizations managing financial records across multiple systems
  1. Reduce dependence on scattered manual comparison processes.

  2. Make mismatches easier to identify and investigate.

  3. Improve visibility into matched, unmatched, and pending records.

  4. Standardize reconciliation workflows across supported data sources.

  5. Help teams maintain a clearer audit and investigation trail, depending on configuration.

Use cases

Where Reconciliation fits.

  • Use case 01

    Bank and payment reconciliation

    Compare payment transaction records with bank or payment-provider reports.

  • Use case 02

    POS and retail reconciliation

    Compare POS transaction data with settlement or financial records from relevant providers.

  • Use case 03

    Cash and collection reconciliation

    Compare recorded collections with available financial or operational reports.

  • Use case 04

    Settlement reconciliation

    Compare expected settlement information with settlement records received from relevant systems.

  • Use case 05

    Multi-system financial operations

    Bring records from separate platforms into a common workflow for comparison and exception review.

Connected products

Each product area hands its records to the next, so teams keep the same transaction context from start to finish.

FAQ

Questions teams ask.

  • Can matching rules be adapted to our data?

    Yes. Matching compares records using agreed identifiers and fields, such as transaction references, amounts and dates. The rules are configured for each implementation.

  • Which sources can be reconciled?

    Transaction, settlement, bank, POS and other agreed source data can be imported or connected. The supported sources are confirmed during implementation.

  • What happens to records that do not match?

    They are separated from matched records and organized as exceptions, such as unmatched items, amount differences or duplicate candidates, so teams can investigate and track follow-up.

Turn reconciliation exceptions into actionable work.

Share your data sources, reconciliation reports, and matching requirements with Eterna-X to discuss a suitable workflow.