What is Cadency Reconciliation?

Table of Content
  1. No sections available

Definition

Cadency Reconciliation refers to the account reconciliation capabilities within Trintech Cadency, used by finance teams to standardize balance sheet reconciliations, transaction matching, certifications, approvals, and audit documentation. It helps companies compare account balances, validate supporting records, investigate exceptions, and confirm that financial statements are supported by reliable account-level evidence.

In a record-to-report environment, Cadency Reconciliation is used to improve close discipline, strengthen reconciliation controls, and give finance leaders clear visibility into which accounts are complete, pending review, or waiting for exception resolution. It is especially relevant for organizations managing multiple entities, many bank accounts, complex subledgers, and recurring month-end close deadlines.

How Cadency Reconciliation Works

Cadency Reconciliation works by bringing account balances, transaction details, and supporting records into a controlled reconciliation environment. Finance teams can assign account ownership, define reconciliation frequency, set approval rules, attach documentation, and monitor completion status throughout the close cycle.

For a balance sheet account, the preparer explains the ending balance and attaches Reconciliation Supporting Evidence such as schedules, statements, invoices, aging reports, or subledger extracts. The reviewer then checks whether the balance is valid, whether reconciling items are documented, and whether any open items need follow-up. For high-volume accounts, matching rules can compare transaction attributes such as amount, date, reference number, entity, and account code.

Core Components

A strong Cadency Reconciliation setup includes account templates, preparer and reviewer assignments, risk ratings, matching rules, certification logic, exception categories, reporting dashboards, and audit history. These components help finance teams maintain consistency across entities and reporting periods.

  • Account ownership: Each reconciliation is assigned to the right preparer, reviewer, and approver.

  • Risk-based review: High-value or sensitive accounts receive stronger approval attention.

  • Evidence management: Supporting files, comments, and explanations are stored with the reconciliation record.

  • Exception tracking: Reconciling items are categorized, aged, monitored, and resolved with ownership.

Two important design elements are Chart of Accounts Mapping (Reconciliation) and Segregation of Duties (Reconciliation). Chart mapping ensures accounts from different ERPs, entities, or reporting structures align correctly, while segregation of duties helps separate preparation, review, and approval responsibilities.

Practical Use Cases

Cadency Reconciliation is commonly used for bank reconciliations, intercompany accounts, accounts receivable, accounts payable, prepaid expenses, accruals, fixed assets, inventory accounts, clearing accounts, and suspense accounts. It supports both routine account certification and detailed transaction matching where account activity is high.

Finance teams also use it for Data Reconciliation (System View) when comparing balances between ERP, subledger, and reporting environments. During ERP transformation or entity migration, Data Reconciliation (Migration View) helps validate that opening balances, account structures, and transferred transactions are aligned before reporting begins in the new environment.

Key Metrics and Performance Indicators

Cadency Reconciliation is usually evaluated through close and control metrics rather than one fixed formula. Common indicators include on-time reconciliation completion rate, approval cycle time, aged reconciling items, auto-match rate, open exception value, and Manual Intervention Rate (Reconciliation).

For example, if a finance team processes 80,000 transactions in a month and 68,000 are matched automatically, the auto-match rate is 85%. The remaining 12,000 transactions may need review, explanation, coding, or follow-up. A higher auto-match rate usually indicates cleaner source data, strong matching rules, and faster close execution. A lower auto-match rate usually signals opportunities to improve reference fields, standardize transaction descriptions, or refine matching logic.

Teams also use Continuous Monitoring (Reconciliation) to track overdue reconciliations, recurring exceptions, missing evidence, and accounts approaching close deadlines.

Governance and Audit Readiness

Cadency Reconciliation strengthens Reconciliation External Audit Readiness by preserving preparation dates, reviewer approvals, attached evidence, comments, exception status, and reconciliation history. This gives audit teams a clear trail showing who completed the reconciliation, what evidence was reviewed, and how open items were handled.

Large finance organizations may also use a Reconciliation Governance Committee to review aged items, recurring exceptions, account ownership gaps, and policy adherence. This supports Preventive Control (Reconciliation) because recurring reconciliation issues can be identified early and addressed before they affect financial reporting quality.

Best Practices

Cadency Reconciliation works best when finance teams define account policies clearly, maintain clean master data, classify accounts by risk, and review exception patterns after every close. Strong teams also align reconciliation frequency with materiality, so high-risk accounts receive timely attention while lower-risk accounts follow an appropriate certification cadence.

Another important lever is Reconciliation Process Optimization, where teams review manual touchpoints, recurring reconciling items, matching rule performance, and evidence quality. This helps the close cycle become more predictable, transparent, and audit-ready over time.

Summary

Cadency Reconciliation helps finance teams manage account reconciliations with clear ownership, structured evidence, matching logic, approval control, and close visibility. It supports accurate financial reporting, stronger audit readiness, better exception management, and improved operational efficiency across entities, accounts, and reporting cycles.

Build Custom Finance Workflows with 200+ Prebuilt AI APIs

Get Access to your Private F&A Chatbot

Ask questions in natural language & get instant insights

Ask questions in natural language & get instant insights