Campfire streamlines account reconciliation by comparing general ledger balances against sub-ledgers, bank statements, and other supporting sources. It identifies differences automatically and classifies them based on type and materiality. Any unresolved items are routed into structured workflows for review and resolution. This removes the need for manual spreadsheets and reduces the time spent on reconciliations during the close, while ensuring every balance is supported and traceable.
Campfire uses configurable matching rules alongside machine learning to reconcile transactions with greater accuracy. It learns from past activity, improving match rates over time and clearing routine items automatically when they fall within defined thresholds. Items that require attention are flagged for review, while anomaly detection highlights unusual patterns that may point to errors or control issues. This approach helps teams focus on real exceptions rather than routine matching tasks.
Campfire routes reconciliation differences through structured workflows, assigning ownership and tracking progress until resolution. Teams can analyse variances by age, size, or category, helping prioritise the most important issues. All actions, documentation, and approvals are recorded within the system, creating a complete audit-ready record. This removes the need for separate workpapers and ensures reconciliations are fully documented and easy to review.
Why Campfire Stands Out
