Real-Time Monitoring

Real-time transaction monitoring for fast-moving fintech systems.

WatchTower evaluates transaction events as they arrive. Supported inline integrations can return an allow, review, or block outcome, while monitoring deployments route signals to analysts.

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The problem

Batch monitoring cannot keep up with live payment systems.

Delayed detection

Processing batches overnight means bad actors have already moved funds by the time your team is alerted.

High-volume alert queues

Rigid rules can create low-value alerts that consume analyst time and make higher-risk activity harder to prioritize.

Fragmented systems

Siloed tools, file uploads, and disconnected customer data slow investigations and make context harder to reconstruct.

Evidence at scale

As transaction volumes grow, teams need a consistent record of controls, alerts, investigations, and decisions.

Why it matters

Real-time monitoring shortens the path to review.

As payment systems accelerate, overnight batch reviews give institutions less time to respond. Real-time transaction monitoring reduces time-to-detection and helps risk teams investigate suspicious activity earlier.

The Remllo approach

Immediate detection with investigation-ready context.

  • Low-latency decisionsEvaluate events as they arrive and, for supported inline integrations, return an allow, review, or block outcome.
  • Customer risk contextConnect transaction history and supported non-transaction events to customer-level context for clearer review.
  • Automated case creationTurn high-risk signals into organized, workable cases immediately without manual escalation.
  • Built for operationsEmpower your risk team with collaborative workspaces designed for rapid resolution, not just dashboards.

Capabilities

Built for live transaction decisioning.

01

API & CSV Ingestion

Seamlessly ingest real-time API webhooks or bulk upload historical data via secure CSVs.

02

Dynamic Rules Engine

Configure, test, and manage custom monitoring rules with less day-to-day engineering dependence.

03

Behavioural Context

Use transaction history and configured signals to give analysts context beyond a one-size-fits-all threshold.

04

Centralized Alert Inbox

Give analysts a structured queue of flagged transactions with investigation context and history.

How it works

How real-time monitoring works inside Remllo.

  1. 01

    Ingest

    Push transaction events through API, adapters, or CSV into the WatchTower engine.

  2. 02

    Profile

    Build behavioural context for customers and counterparties as transaction history grows.

  3. 03

    Detect

    Run configured controls and rules against each event to produce a risk outcome.

  4. 04

    Alert

    Automatically flag suspicious transactions and generate contextual alerts for analysts.

  5. 05

    Resolve

    Review linked identity data, annotate notes, and dismiss or escalate the case securely.

Customer fit

For businesses operating at payment speed.

Designed for payment processors, fintechs, digital wallets, neobanks, and platforms where transaction risk has to be understood immediately.

Fintechs & Neobanks

Monitor transfers, payments, and other configured transaction events as they arrive.

Microfinance Banks

Shift securely from manual ledger reviews to automated transaction scoring.

Marketplaces

Identify suspicious seller payouts and coordinated buyer-seller collusions.

Crypto Platforms

Apply configured monitoring controls to supported on-ramp and off-ramp transaction flows.

Product connection

Powered by the Remllo ecosystem.

Remllo WatchTower provides the monitoring and investigation workflow. Remllo Identity can add supported KYC, KYB, sanctions, and PEP context when the products are integrated.

Remllo WatchTowerRemllo Identity

Why Remllo

Why operators choose Remllo for real-time monitoring.

  • Built for African realities and regulatory nuances
  • API + CSV flexibility for any infrastructure setup
  • Identity-aware monitoring linking the transfer to the user
  • Reviewable decision history for investigation and compliance evidence

FAQ

Frequently asked questions

It is a system used by financial institutions to review transaction activity, identify suspicious patterns, and support investigation and reporting workflows.

Remllo WatchTower evaluates events as they arrive. Supported inline integrations can use an allow, review, or block outcome, while monitored deployments run alongside the transaction flow. Batch CSV paths are also supported.

Yes. If your institution doesn't have a modern API infrastructure, you can securely upload batch CSV files for processing and alert generation.

Absolutely. The platform includes a purpose-built workspace for risk analysts to review alerts, track history, and document their decisions.

Yes. When integrated with Remllo Identity, WatchTower can include supported KYC, KYB, sanctions, and PEP context in an investigation.

Integration time depends on source-system readiness, payload quality, and operating model. API-ready teams can start quickly, while CSV-based teams can begin with controlled uploads and testing.

Need real-time transaction monitoring infrastructure?

See how Remllo helps regulated teams monitor, detect, and resolve suspicious transaction activity at operational speed.

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