Cross-Border & Local Clearing
Captures supplied SWIFT BIC, IBAN, sort codes, and intermediary correspondent routing for out-of-network transfers.
Ingest interbank transfers, USSD and VAS payments, and GL journals into a client-controlled intelligence layer designed for detection and regulatory reporting workflows.
From everyday consumer transfers to complex internal ledger adjustments, OneView brings movement-of-money records into one monitoring standard, reducing blind spots across retail, business, and internal operations.
Example
Synthetic data{
"transactionReference": "TXN-NIP-10482",
"externalReference": "CBS-77104",
"direction": "OUTBOUND",
"amount": "150000.00",
"currency": "NGN",
"executedAt": "2026-08-02T10:30:00Z",
"initiator": {
"accountNumber": "0123456789",
"accountName": "Sample Customer"
},
"counterparty": {
"accountNumber": "9876543210",
"accountName": "Sample Recipient"
},
"telemetry": {
"ipAddress": "192.0.2.24",
"deviceId": "device-demo-42",
"latitude": 6.5244,
"longitude": 3.3792,
"appVersion": "4.8.0"
}
}External interbank / NIP
Review retail and corporate transfers across clearing rails such as NIP with customer, device, and receiving-bank context captured together for risk analysis. Give compliance teams the evidence needed to investigate account takeover, mule activity, and structuring patterns.
Extracted context
Example
Synthetic data{
"transactionReference": "TXN-USSD-20813",
"direction": "OUTBOUND",
"initiatorType": "CUSTOMER",
"paymentMethod": "AIRTIME",
"amount": "5000.00",
"currency": "NGN",
"counterparty": {
"billerCategory": "AIRTIME",
"recipientIdentifier": "08000000000"
},
"ledgerPostings": [
{
"postingId": "LEG-01",
"entryType": "DEBIT",
"amount": "5053.75",
"currency": "NGN",
"accountNumber": "0234567890"
}
]
}VAS / airtime / multi-leg fees
Review high-volume consumer flows such as airtime, utility, and bill payments with their ordered accounting path preserved. Give investigators the debit, credit, fee, tax, and channel context needed to assess unusual velocity or utility-channel patterns.
Extracted context
Example
Synthetic data{
"transactionReference": "JRN-2026-00418",
"direction": "OUTBOUND",
"initiatorType": "INTERNAL_GL",
"paymentMethod": "JOURNAL",
"status": "POSTED",
"isInternal": true,
"isGlTransaction": true,
"amount": "25000000.00",
"currency": "NGN",
"initiator": {
"glCode": "10010001",
"glName": "Sample Originating GL"
},
"counterparty": {
"glCode": "20040012",
"glName": "Sample Destination GL"
},
"ledgerPostings": [
{
"postingId": "JRN-DR",
"glCode": "10010001",
"entryType": "DEBIT",
"amount": "25000000.00",
"currency": "NGN"
},
{
"postingId": "JRN-CR",
"glCode": "20040012",
"entryType": "CREDIT",
"amount": "25000000.00",
"currency": "NGN",
"costCenter": "OPS-HQ"
}
]
}Staff journals / internal operations
Capture staff-initiated journal entries, branch balancing, and internal transit movements with actor and posting context intact. Support investigation of policy violations, unauthorized ledger adjustments, and suspected internal fraud.
Extracted context
OneView distinguishes who receives or moves value across five banking counterparty types and preserves environmental telemetry, giving analysts and bank-led detection controls clearer forensic context.
Captures supplied SWIFT BIC, IBAN, sort codes, and intermediary correspondent routing for out-of-network transfers.
Retains supplied recipient risk tiers, PEP records, and BVN or NIN profile context from core banking sources.
Captures double-entry GL posting legs, branch cost centres, and manual staff journal context.
Retains supplied BIN ranges, merchant category codes, terminal IDs, and transaction entry modes.
Captures biller identifiers, product codes, and target recipient references across USSD and web channels.
Deep telemetry & digital footprints
When supplied by the source channel, network, device, location, and application signals remain attached to transaction activity, helping teams investigate account takeover, device reuse, proxy routing, and geographic inconsistencies.
IP address, network context, and VPN or proxy indicators when supplied.
Device identifiers and fingerprint hashes available for cross-transaction comparison.
Latitude and longitude coordinates available for geographic review.
App version, user-agent, and channel context such as USSD, mobile, or branch when supplied.
Every financial institution operates under unique risk tolerances. OneView gives compliance and risk teams an intuitive, no-code rule builder to review live core banking transactions, trigger automated safeguards, and prevent financial loss before settlement.
Create unlimited detection rules without writing a line of code. Target specific payment flows, account types, currencies, or channels, then combine conditions into precise logic with zero engineering dependencies.
Define exact operational responses for every trigger: dispatch instant analyst alerts, hold transactions for in-depth review, reject execution, or automatically apply a timed Post-No-Debit (PND) on the account.
Group rules under Reject, Review, or Alert categories. Automatically flag complex pattern behavior in real time, including rapid multi-account structuring, unusual high-frequency credits, and baseline deviations.
Eliminate manual compliance filings and spreadsheets. OneView automatically compiles daily core banking transactions into fully formatted NFIU reports, ready for direct GOAML portal upload.
Automatically aggregate threshold-exceeding transactions (CTR), cross-border FX transfers (FTR), and flagged rule violations (STR) every single day without manual intervention.
Export validated XML files pre-formatted to match the exact schema requirements of the NFIU GOAML portal. Zero manual data entry, zero formatting errors.
Every exported report automatically bundles full customer PII, account risk tiers, channel device telemetry, and double-entry ledger legs for complete audit readiness.
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