Solutions · Payment-enabled platforms
Your software earns the subscription. Your payment service carries a different risk. SENTR connects merchant activity, end-customer behaviour and payment events so you can investigate the money moving through your platform—not just the invoices paid to it.
Product teams add payment features faster than risk can standardise policy. Each merchant wants a different appetite; platform liability does not change with their preference. End-customer signals live in product systems fraud tools never see — and engineering will not accept another opaque box that cannot explain a declined merchant payout.
Nested risk from onboarding through settlement — still limited to events and fields you can supply.
Onboarding → activity → payment / MOTO → refund → settlement
Treat SaaS billing and facilitated payment volumes as separate protected planes even when they share a processor.
Platform programmes fail when billing risk policy is copy-pasted onto facilitated money movement. Composition keeps the planes distinct.
Platform decision anatomy
A merchant’s monthly platform subscription clears without friction. The same week, end-customer MOTO charges spike through that merchant with reused cards and mismatched shipping identifiers.
Finance does not freeze a healthy account for a payments problem — and risk does not ignore settlement because the subscription looked fine.
Map platform, tenant and payment events through universal ingestion, then connect entity decisions, explanations and review queues. Integrations require field mapping rather than assumed native connectors. For qualified SENTR.Citadel teams, read-only Shadow Mode evaluates an agreed scope alongside current controls.
Inside the workflow · illustrative configurations
A merchant paying your software invoice tells you little about the end-customer payments they submit. Configure those as different event and policy questions.
Merchant onboarding, facilitated payments and payout each need their own event policies, with connected history between them. The platform application controls the business action. This is not a payment-rail connector or a claim that SaaS billing and end-customer risk are the same problem.
Map platform, merchant and payment references plus available instrument identifiers and historical outcomes. For operator-entered MOTO, do not treat the operator’s device as the cardholder’s device.
Evaluate facilitated-payment velocity and supplied merchant context separately from SaaS billing. Missing end-customer signals must remain missing—not inferred from a browser that belongs to staff.
Inspect the merchant’s pattern and linked instrument activity, collect the relevant records and assign the case. Keep actual fraud outcomes distinct from an unusual-volume alert.
Join merchant onboarding, account changes, facilitated payments, refunds and payout requests where those events are available.
Use event-specific profiles and decision policies; return the outcome to the application that controls settlement. Keep provider-native controls in their existing role.
Follow the case across merchant and end-customer context. Record the conclusion and assess noisy rules, case age and outcomes through standard or SENTR.Citadel custom reporting.
See the controls behind these workflows: SENTR.Citadel product deep dive → Compare guided SENTR.Tower →
Before you decide
No. SENTR can evaluate mapped events alongside payment providers and internal systems. It is an independent decision and operations layer, not a payment processor. You need a supported data path and explicit response handling; named-provider integrations are not assumed to be prebuilt connectors.
See the integration model →The company paying for your software and the end customer paying a merchant create different events and risk exposures. A low fraud rate on platform subscription billing does not establish that facilitated payment or MOTO activity is low risk. Map both planes and assign their controls separately.
Map the payment operation →Map the platform, merchant and end-customer events with us, then compare the controls and operating model.