Consulting · Industries

Industries We Serve

Every industry has its own failure patterns. We know what breaks in each one because we have audited it.

Representative finding

Revenue metrics built on transaction pipelines that nobody has audited end-to-end.

Reported revenue

$1.2M

Actual revenue

$960K

$240K overstatement found. 1,200 dropped transaction records and a fee calculation error in the settlement pipeline.

Reliability score

5284+32 pts

Common failure patterns

01
Revenue metrics that don't match finance
Product analytics show one revenue number. Finance shows another. Metric validation recomputes KPIs from raw transaction data to show exactly where currency conversion logic, refund handling, or phantom events introduce the gap.
02
Payment event telemetry with gaps
Transaction events fire from multiple clients and payment processors. Required fields like currency, payment_method, or transaction_id are null 5-20% of the time. Schema profiling catches null spikes before they reach downstream aggregations.
03
Compliance reporting on unaudited pipelines
SAR filing counts, transaction monitoring volumes, and KYC completion rates are built from the same pipelines as product dashboards. A scored audit with severity-ranked findings shows exactly which pipeline issues affect compliance numbers.

ResultA mid-market payments processor found a $340K annual revenue discrepancy and 1,200 silently dropped transaction records.

Every audit starts with a one-week diagnostic.

Find out what's broken in your data before it reaches a board deck, a regulatory filing, or an investor pitch.