Commuters tap cards and phones at contactless barriers in a tiled underground ticket hall, with escalators beyond the gates

Keep everyday payments moving as risk changes

A tap at a gate is a small moment in a much larger flow of payments. Review teams must distinguish the cases that need attention from ordinary activity. Semogram helps them examine payment risk and account context without losing sight of the people affected by the decision.

AI-generated fintech scene

Focus review on the cases that matter

Score payment risk with the reasons behind each flag, so reviewers can distinguish a concern from normal activity

See the pattern across payments

Classify transactions and compare account activity to bring unusual patterns into view

Give investigators the whole case

Examine account history and transaction context together rather than reviewing an alert in isolation

Support a considered credit decision

Use predictive models alongside the applicant’s records, with final underwriting decisions made by the responsible team

Define what a better outcome looks like

Can reviewers find more confirmed issues without overwhelming the queue?

Start with a fair comparison
Compare with the current review approach on cases with known outcomes, including a sample of payments that were not flagged
Keep the decision in view
Record the reasons reviewers accept or reject flags and keep final credit and compliance decisions with the responsible team
Measure the result
Track confirmed issues, false alerts, missed cases and review time. Assess customer friction alongside risk detection
Plan your first evaluation ↗
TransactionsStream ProcessingMonitoringCredit ScoringAMLRisk Decisions