Your team matches records across systems in spreadsheets. Exceptions are investigated manually. Rule changes mean re-engineering formulas. We deploy governed reconciliation that automates the matching and focuses your team on the exceptions that actually need human judgement.
Born from 18 years of real banking operations • Rules before AI • Full audit trail
VLOOKUP formulas, manual matching, copy-paste between systems. One structural change to a data source and the entire process breaks.
90% of records match cleanly. Your team spends most of their time on the 10% that don't — but they have to process all 100% to find them.
Spreadsheet reconciliation has no audit trail, no version control, no evidence of what was matched, what was overridden, or why.
Governed reconciliation configured for your data sources and matching rules. We implement it, we manage the rules, you review the exceptions.
Configurable matching rules across data sources. Deterministic matching runs first — exact matches, fuzzy matches, tolerance-based matches — before any AI is invoked.
Unmatched records are flagged and categorised. Your team focuses only on genuine exceptions — not on processing the 90% that matched cleanly.
For complex exceptions that rules can't resolve, AI analyses the mismatch pattern and suggests the likely cause — timing differences, currency conversions, missing entries.
Matching rules are configuration, not code. New data sources, tolerance changes, and rule adjustments are managed without engineering work.
Every match, every exception, every resolution — logged and traceable.
Deterministic matching always runs first. AI is invoked only for genuine exceptions that rules cannot resolve.
Every match decision, exception flag, and resolution recorded with full traceability.
Your reconciliation data lives in its own database. Never shared with another organisation.
We'll show you what governed reconciliation looks like for your data sources — configured and running — within weeks.
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