Remllo WatchTower

Real-time transaction monitoring for AML and fraud operations.

Ingest transaction activity, apply rules and behavioural signals, investigate alerts, and prepare reporting evidence from one operational workspace.

WatchTower dashboard preview

Product overview

From transaction activity to documented resolution

Bring ingestion, monitoring controls, alert review, case evidence, and reporting preparation into one traceable workflow.

Monitor

Apply rules, screening controls, and behavioural signals to eligible events.

Investigate in context

Customer, transaction, device, and case history stay linked.

Report with evidence

Decisions and filing evidence remain review-ready.

Flexible deployment

Monitor alongside the flow or return decisions where supported.

Use live API ingestion for supported decisioning integrations, or monitor asynchronously through adapters and batch uploads.

Allow, review, or block responses for supported inline integrations
API, adapter, and CSV ingestion options
Rules and screening controls applied to each eligible event
Decision and rule history preserved for review
POST /transactions
decisionALLOW
POST /transactions
decisionBLOCK
rulestructuring_suspected

WatchTower capabilities

One view from transaction signal to resolution.

Give risk teams the live activity, decision context, and case evidence they need without moving between disconnected tools.

Live monitoring

See transaction activity as it happens.

Stream events through the API, evaluate eligible activity against rules and customer context, and return an allow, review, or block response where inline decisioning is supported.

Real-time decisions

Inline where supported

Customer context

Transactions and behaviour

WatchTower monitoring dashboard with alert rate, risk value, cases, and investigation queues

Controls and decisions

Tune detection without guessing.

Start with built-in AML and fraud typologies, add your own rules, and dry-run changes before production.

Rule preview

High value + new device

Dry run
Transaction amountAbove threshold
Device relationshipFirst seen
Customer risk scoreElevated
Recommended decisionREVIEW

Investigations and reporting

Carry the case through to evidence.

Assign alerts, track SLAs, document the decision, and prepare reporting from the same case record.

Case CASE-2048

Unusual transfer sequence

Investigating

Evidence

12 records

Filing readiness

Ready

Tune monitoring controls without rebuilding the workflow

Start with built-in AML and fraud controls, add tenant-specific rules, and dry-run changes before activation.

Built-in AML and fraud controls
Tenant-specific monitoring rules
Dry-run before activation
Rule changes preserved in audit history
// Threshold Breach Rule
ifamount>1000000
// Velocity Rule
iftx_count>10in"1 hour"
Customer risk score78 / 100
password.reset09:41
device.changed09:43
beneficiary.added09:44
Transfer ₦2,400,000REVIEW

Customer intelligence

Review the customer context, not only the transaction

Connect transactions and behavioural events to one customer profile, so activity such as a password reset followed by a large transfer reads as one risk story.

Customer-level profiles and monitoring context
Transactions linked to customers, accounts, devices, and beneficiaries where provided
Behavioural events such as logins, device changes, profile updates, and new beneficiaries
Rules that combine transaction and behavioural signals

AI that assists the analyst, not replaces the decision

Use AI assistance where enabled while keeping controls, activation, and final investigation outcomes under team review.

01

Draft rules in plain language

Where enabled, describe the behaviour to monitor, review the drafted rule, and dry-run it before activation.

02

Behavioural context for review

Use baseline and event signals to prioritize review. These signals support analysts and do not autonomously block activity.

03

Governed activation

Dry-run control changes and preserve who changed what before a rule reaches production monitoring.

From transaction to operational resolution

1

Ingest

Send eligible events through the API, an adapter, or a batch upload.

2

Evaluate

Apply active rules and screening controls to the available event context.

3

Alert

Create alerts with the transactions and signals that triggered review.

4

Investigate

Assign cases, preserve evidence, and document the analyst decision.

5

Report

Export case evidence or prepare goAML-ready XML when required.

Regulatory reporting

From closed case to goAML-ready XML

Run readiness checks, generate XML from captured case evidence, and preserve filing versions and status. Your team remains responsible for final review and submission.

Readiness checks surface missing reporting fields
goAML XML generated from captured case evidence
Filing versions preserved with status tracking
Workflow support for goAML-style regulatory reporting
Case #2481 closedEvidence complete
Filing readiness check2 fields missing → captured
goAML XML generatedv3 preserved
Filing statusReady for review
Alerts
Investigating
Resolved

Built for high-stakes risk operations

Give analysts one place to review alerts, collaborate on cases, and preserve the final decision.

Assign cases to team members
Track status with Kanban-style workflows
Keep everything documented in one place

Controls your security team can verify

In compliance software, trust is specifics, not adjectives.

PII encrypted at rest

Sensitive customer fields are encrypted with AES-256-GCM before they touch the database.

Reviewable audit history

Rule changes, case actions, and decisions are preserved in the audit history.

Role-based access

Analysts, reviewers, and admins each see and do only what their role allows.

Hardened API access

Machine-to-machine ingestion uses hashed API keys with optional IP allowlisting.

Customer fit

Where WatchTower fits

Built for regulated financial teams that need to monitor high-volume money movement and carry risk decisions through investigation and reporting.

Banks and microfinance institutions

Monitor account and transfer activity while keeping AML investigations and reporting evidence connected.

Typical fit

  • Account and transfer monitoring
  • AML case operations
  • goAML-ready evidence

Fintechs, payments, and mobile money

Apply monitoring and fraud controls to high-volume payment activity, with inline responses where supported.

Typical fit

  • Real-time risk decisions
  • Customer-level signals
  • Fraud and AML controls

Lenders and digital credit providers

Monitor disbursements, repayments, and borrower activity for abuse and account takeover signals.

Typical fit

  • Disbursement monitoring
  • Behavioural risk signals
  • Investigation workflows

Cross-border payments and remittance

Detect corridor, velocity, sanctions, and cross-border risk patterns with full customer context.

Typical fit

  • Corridor and velocity controls
  • Watchlist screening
  • Cross-border case context

Bring monitoring, investigations, and reporting into one workflow

See how WatchTower can fit your ingestion model, monitoring controls, case operations, and reporting process.

WatchTower works alongside Remllo Compliance and Remllo Identity, connecting transaction monitoring, AML monitoring, regulatory compliance, and identity verification in one ecosystem.

Related solutions: Transaction Monitoring, AML Transaction Monitoring, AI-native Transaction Monitoring, AI Fraud Detection.

Product FAQ

Common questions about Remllo WatchTower

Understand how WatchTower fits into transaction monitoring, AML investigations, fraud controls, and regulatory reporting workflows.

Remllo WatchTower gives banks, fintechs, lenders, payment companies, and other transaction-led financial institutions infrastructure for real-time transaction monitoring, AML review workflows, fraud detection, and alert investigation.

Yes. WatchTower is designed to handle anti-money laundering monitoring and fraud detection in the same risk operations environment so teams can investigate with shared context.

Yes. WatchTower supports real-time event ingestion and alerting. For supported inline integrations, a response can inform an allow, review, or block decision; other deployments can monitor activity alongside the transaction flow.

It combines rules, behavioural context, and workflow automation, with AI-assisted rule drafting where enabled. Analysts remain responsible for reviewing controls and investigation outcomes.