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4.6 million payments per period, reconciled at a 99.25% match rate.

A betting and gaming operator reconciled about 4.6 million transactions per period across several payment providers, largely by hand. A five-pass reconciliation engine now matches 99.25% automatically, and the finance team no longer touches routine reconciliation.

Client
A betting and gaming operator
Sector
Gaming, finance operations
Engagement
Production system
Measured result
99.25%match rate, 4.6M transactions

99.25%match rate, 4.6M transactions

01More providers, more formats

The operator was adding payment methods to reach players in more markets, and each provider sent a settlement file in its own format. About 4.6 million transactions per period were matched by hand in spreadsheets, and only a few people could read every file. Reconciliation lagged the business and was a control risk.

02AI for intake, rules for matching

AI does intake only: it maps each provider file, irregular layouts and noisy references included, into one standard transaction record. Five deterministic passes do the matching, each handling a defined class of match and passing the rest to the next. The rules can be read, tested and explained to an auditor, and change only through change control.

03What finance has now

The engine matches 99.25% of transactions automatically, each match linked to its source lines and the rule that made it. What remains goes to a named owner, with the passes already tried and the fields that disagree. Finance no longer touches routine reconciliation, and a new provider needs a new intake mapping, not new matching rules.