AI-native Monitoring
AI-native transaction monitoring built for modern risk teams.
Bring together deterministic rules, behavioural analysis, analyst workflows, and identity context in one AI-native monitoring stack.
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THE PROBLEM
Traditional transaction monitoring was not built for adaptive risk operations.
Delayed detection
Processing batches overnight means bad actors have already moved funds by the time your team is alerted.
Endless false positives
Rigid legacy rules bury your analysts in irrelevant alerts, increasing operational fatigue and missing genuine threats.
Fragmented systems
Trying to connect siloed tools, CSV uploads, and disconnected customer data makes clean investigations impossible.
Regulatory pressure
As transaction volumes scale, proving you have adequate monitoring controls to auditors becomes a massive operational burden.
Why it matters
Risk teams need AI-native infrastructure, not disconnected dashboards.
Teams are under pressure to process more alerts, move faster, and manage more complex patterns of suspicious activity. AI-native monitoring gives operations teams better context, more flexible workflows, and sharper detection quality.
The remllo approach
AI-assisted detection layered on top of operational control.
- Real-time processingAnalyze millions of transactions and block suspicious transfers instantly via API.
- Identity-aware risk scoringConnect transaction data directly to KYC data for a holistic view of customer risk.
- 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
AI-native tooling for transaction monitoring at scale.
API & CSV Ingestion
Seamlessly ingest real-time API webhooks or bulk upload historical data via secure CSVs.
Dynamic Rules Engine
Configure and deploy custom behavioral risk rules instantly without requiring engineering support.
Behavioural Profiling
Understand what "normal" looks like for individual customers to reduce false positives drastically.
Centralized Alert Inbox
Streamline analyst workflows with an intelligent, prioritized queue of flagged transactions.
From signal capture to analyst action.
1. Ingest
Push transaction events via API or CSV instantly into the WatchTower engine.
2. Profile
Build dynamic behavioural baselines for every account instantly.
3. Detect
Run hundreds of configurable risk rules against the event in milliseconds.
4. Alert
Automatically flag suspicious transactions and generate contextual alerts for analysts.
5. Resolve
Review linked identity data, annotate notes, and dismiss or escalate the case securely.
Built for AI-native risk operations.
For fintechs and regulated businesses that want machine-assisted monitoring without losing control over explainability and governance.
Fintechs & Neobanks
Monitor thousands of daily transfers and airtime top-ups in real time.
Microfinance Banks
Shift securely from manual ledger reviews to automated transaction scoring.
Marketplaces
Identify suspicious seller payouts and coordinated buyer-seller collusions.
Crypto Platforms
Comply with strict on/off-ramp regulations by detecting high-risk transfer velocities.
THE ECOSYSTEM
Powered by the Remllo ecosystem.
This solution is powered natively by Remllo WatchTower for real-time risk engine ingestion and Remllo Identity to append verified customer KYC metrics directly onto every flagged transaction.
Why Remllo fits AI-native monitoring programs.
- Built for African realities and regulatory nuances
- API + CSV flexibility for any infrastructure setup
- Identity-aware monitoring linking the transfer to the user
- Audit-ready infrastructure logging every decision automatically
Frequently Asked Questions
It is a system used by financial institutions to review customer transactions continuously, detect suspicious behavior, and prevent financial crimes.
Remllo's WatchTower API ingests transaction webhooks the moment they occur, running them through a sub-second rules engine before the transfer settles.
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 paired with Remllo Identity, every flagged transaction shows you exactly who the customer is, their KYC status, and past behavior.
Modern fintechs can integrate our APIs in under 48 hours. CSV-based institutions can start monitoring on day one.
Upgrade to AI-native transaction monitoring.
Use Remllo to combine real-time detection, explainable workflows, and AI-assisted risk operations in one platform.