FluxForce + Mambu Integration
The FluxForce + Mambu integration is on the FluxForce roadmap and is not yet available. When it ships, it will connect FluxForce's AML, fraud, and compliance AI to Mambu's cloud-native core banking platform via API. Compliance and risk teams at fintechs and digital banks will get real-time transaction intelligence grounded directly in core ledger data, without a custom ETL pipeline.
What FluxForce + Mambu will enable
Mambu is an API-first cloud banking platform used by financial institutions across more than 65 countries, per Mambu's own product documentation. Its composable architecture is why neobanks, digital lenders, and embedded finance providers chose it over legacy core systems. You add the services you need, when you need them. FluxForce is built for that model.
This is a planned integration, not one available today. The design intent is to let FluxForce ingest transaction events, account lifecycle changes, and customer records directly from Mambu via API, without batch file transfers or custom ETL pipelines. That data will feed FluxForce's AML detection, fraud scoring, sanctions screening, and customer due diligence controls in real time.
For compliance officers at Mambu-based institutions, the current reality is often a delayed copy of transaction data sitting in a warehouse. Monitoring on data that's six to twenty-four hours old means investigators chase transactions that already cleared. In regulated markets, that lag can translate directly into late SAR filings. Real-time access to the Mambu ledger is a materially different starting point.
The planned integration will also support ongoing monitoring triggered by Mambu account events: new product enrollments, shifts in transaction velocity, account status changes. Those signals are what make behavioral risk scoring accurate over time. Without them, monitoring is episodic.
Use cases
Real-time transaction monitoring
Payment and transfer events from Mambu will trigger transaction monitoring rules in FluxForce the moment they are processed. Institutions will run AML typology detection and velocity checks on live ledger data, not a day-old copy.
Customer onboarding and CDD
When Mambu creates a new account, FluxForce will initiate customer due diligence and PEP screening automatically. No manual handoff between onboarding and compliance workflows. Adverse media checks will run against the same customer record at the same point in the process.
Ongoing monitoring at lifecycle events
Account upgrades, product changes, and threshold crossings in Mambu will feed monitoring triggers in FluxForce. This turns periodic KYC refresh into a process tied to actual customer behavior rather than a fixed calendar schedule.
SAR workflow support
Patterns detected across Mambu transaction streams will surface in FluxForce's SAR filing workflow with supporting evidence already attached. Investigators won't need to pull raw data from a separate system when building a case.
Lending and embedded finance coverage
Institutions running credit products on Mambu will route loan origination and repayment events through FluxForce's fraud detection. FATF's typologies work consistently flags fintech lending and buy-now-pay-later as elevated ML/TF risk product categories. Monitoring from the core ledger, rather than a downstream data copy, is the direct answer for lenders with AML/CFT obligations.
How the integration works
The planned integration uses Mambu's REST API and webhook infrastructure. Mambu's API documentation covers a wide set of event types: account creation, payment processing, status transitions, and customer record updates. FluxForce will subscribe to the event types relevant to AML and fraud monitoring at your institution.
The expected data flow, once the integration ships:
Event subscription. FluxForce subscribes to Mambu webhook events for the transaction and account categories your compliance team configures.
Data ingestion. FluxForce normalizes incoming events into its risk object model. You don't need a custom transformation layer on your side.
Risk processing. FluxForce runs the configured controls: transaction monitoring rules, sanctions checks, fraud scoring, and identity verification. Each decision is logged with a complete evidence trail.
Alerts and case creation. Suspicious activity alerts and case files appear in FluxForce's investigation interface. Where configured, risk flags can be written back to Mambu customer or account records.
Audit logging. Every API call, decision, and analyst override is logged to meet FATF Recommendation 11 record-keeping requirements, which mandate a minimum five-year retention period for transaction records. The log is available for regulator review.
Authentication will follow OAuth 2.0 client credentials flow. The connector will support both Mambu's sandbox and production environments, so institutions can validate behavior before going live.
How to set it up
This integration is on the roadmap and not yet available. The steps below describe the expected setup flow, based on FluxForce's standard API connector pattern. Details may change before the integration ships.
Register interest. Contact the FluxForce team to join the early access list. Early access participants will help shape the final feature design and receive priority support at launch.
Generate Mambu API credentials. Create a dedicated API user in your Mambu environment with read access to accounts, transactions, and customer records. Apply the principle of least privilege.
Configure the FluxForce connector. In the FluxForce dashboard, enter your Mambu API endpoint and credentials. Select which event types to subscribe to: account creation, payment processing, status changes.
Map entity identifiers. FluxForce needs a consistent customer ID from Mambu to link transaction history, CDD records, and risk scores to a single entity profile.
Test in sandbox. Run synthetic transactions through Mambu's sandbox environment. Verify that FluxForce receives events, processes them, and surfaces expected alerts. Tune rule thresholds before moving to production.
Enable in production. Switch the connector to your production Mambu instance. Monitor alert volumes and false-positive rates during the first 48 hours.
Detailed integration documentation will be available to early access participants ahead of the public launch. To register interest or ask technical questions, reach out via the FluxForce contact page.
Why this integration matters for compliance teams
The Basel Committee on Banking Supervision identified fragmented data as a structural contributor to AML control gaps. BCBS 291, the Committee's guidance on compliance function effectiveness, notes that monitoring programs built on incomplete or stale data consistently miss patterns that should trigger investigation. The problem isn't process. It's data architecture.
Mambu-based institutions typically solve this with a data warehouse: extract Mambu transactions nightly, load into a monitoring system, run rules. That works, but it adds latency. Every hour of lag is an hour in which a suspicious sequence of transfers could complete undetected.
The planned FluxForce + Mambu integration removes that layer. Transaction monitoring and sanctions controls will run as events occur. Customer due diligence workflows will be triggered by core account events, not downstream copies of them.
For institutions subject to FATF Recommendation 10 on CDD, the distinction matters. Continuous monitoring, as FATF defines it, means monitoring that tracks customer behavior as it happens. Batch-based systems are continuous in name only. FATF's Guidance on AML/CFT and Financial Inclusion makes the same point in the context of proportionate, risk-based oversight.
The audit case follows directly. When a regulator asks how a transaction was flagged, or why it wasn't, the answer is defensible when the monitoring system reads from the same source of truth as the core ledger. FluxForce logs evidence for every decision. Mambu holds the transaction record. Together, they make the audit trail coherent.
Want FluxForce + Mambu? Register interest
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