Solutions · Module 04 · Risk Intelligence

Risk Intelligence

Operational

Configurable risk analytics that score, explain, and track customer risk

Scope · Rules Scenarios Backtesting Insights
// Overview

Overview

Advanced analytics for comprehensive risk understanding

// the brief

Our Risk Intelligence solution combines a configurable multi-factor risk engine with transparent rule and scenario detection — explainable logic your analysts and examiners can read, instead of a black box.

Risk factors, weights, and profiles are configured per institution. Scores are recalculated automatically every day — and instantly when a profile changes — with notifications on tier changes.

Every assessment retains a snapshot of the configuration and factor breakdown behind it, and score history builds over time — so rising-risk customers stay visible and every result is defensible.

amlshield · risk analyticslive
Risk score69 / 100
Elevated
Alerts · 24hRules 14Scenarios 63Cleared
amlshield · intelligence scopeonline
AnalyticsRulesScenarios
BacktestingRisk factors
RescoringDaily
// Features

Key Features

Advanced analytics for comprehensive risk understanding

F.01

Configurable Risk Scoring

A multi-factor engine scores every customer using the factors, weights, and profiles your team configures

F.02

Rule and Scenario Detection

Transparent, deterministic detection logic that business users build and tune in the UI

F.03

Historical Backtesting

Test rules and scenarios against historical data and review performance before go-live

F.04

Daily Rescoring

Automated daily rescoring plus instant rescore on profile changes, with tier-change notifications

F.05

Risk Dashboards

Interactive visualizations for portfolio risk monitoring and trend analysis

F.06

Assessment Audit Trail

Every assessment retains its configuration snapshot and factor breakdown for examiners

// Modules

Included Modules

Platform components that power this solution

Modules 4 included · 2 optional
Risk Assessment Engine Configurable multi-factor risk scoring and analytics incl
Transaction Monitoring Rule and scenario-based transaction monitoring incl
Alert Management Risk-based alert prioritization incl
Regulatory Reporting Risk dashboards and trend reporting incl
Case Management Optional: Deep-dive investigation on high-risk entities opt
Sanctions & Watchlist Screening Optional: Watchlist and adverse media screening opt
amlshield · platform fabriconline

A single platform — one client record, one risk profile, one audit trail — shared across every module. Four components compose this solution, with case management and screening available as optional extensions.

4 included2 optional
// Workflow

Intelligence Workflow

From data to actionable insights

01

Data Ingestion

Collect and integrate data sources

Transaction data
Customer profiles
External data sources
02

Risk Configuration

Define factors, weights, and detection rules

Risk factor weighting
Rule and scenario conditions
Historical backtesting
03

Scoring and Detection

Score customers and run detection scenarios

Daily automated rescoring
Scheduled scenario runs
Risk score changes
04

Alert Generation

Create prioritized alerts

Risk-based prioritization
Context enrichment
Analyst routing
05

Insights

Strategic risk understanding

Portfolio risk views
Trend analysis
Score history
// Benefits

Key Benefits

What an institution gains from configurable, explainable risk intelligence on one platform.

Explainable Scores Every risk score comes with a factor-by-factor breakdown that analysts and examiners can read
Proactive Detection Daily rescoring surfaces risk changes as customer data and activity evolve
Reduce False Positives Backtesting against historical data lets teams tune rule thresholds before they go live
Prioritized Alerts Weighted alert priority with SLA clocks and skill-based routing puts the riskiest work first
Strategic Insights Portfolio-level analytics support risk appetite decisions
Examiner-Ready Evidence Assessment history and configuration snapshots are retained for audits and examinations
// Integrations

Integration Points

How the solution connects to your existing systems — inputs, outputs, APIs, and scheduled jobs.

Inputs
  • Core banking systems
  • Transaction systems
  • CRM/customer data
  • External data providers
Outputs
  • Alert management
  • Case management
  • BI/Analytics platforms
APIs
  • Risk scoring API (rescore, batch, assessment)
  • Client data API
  • Transaction ingest API
Scheduled Jobs
  • Daily risk rescoring
  • Batch scoring
  • Scheduled scenario runs
Risk factors, weights, and detection rules are configured on your institution's own data and requirements — with full audit trails retained for examinations.
// evidence

Performance Metrics

Illustrative targets for risk intelligence on one platform — not measured benchmarks.

85%
Detection Rate
Illustrative target for rule and scenario detection tuned through backtesting
100%
Assessment Auditability
Every assessment retains its configuration snapshot and factor breakdown
3x
Efficiency Gain
Improvement in analyst productivity
24/7
Monitoring
Scheduled monitoring and daily rescoring run around the clock
Outcomes vary by deployment & data·full audit trail retained

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// Use Cases

Use Cases

Where institutions apply risk intelligence across their monitoring posture.

UC/01

Portfolio Risk Oversight

Portfolio dashboards and score history give management a clear view of risk concentrations and trends

UC/02

Detection Rule Tuning

Backtest rules and scenarios against historical transactions to tune thresholds and cut noisy alerts

UC/03

Emerging Risk Detection

Daily rescoring and tier-change notifications flag customers for enhanced due diligence

// FAQs

Frequently Asked Questions

The questions compliance and data teams ask before deployment.

How does risk scoring work?

A configurable multi-factor engine scores each customer across weighted risk factors. Scores are recalculated automatically every day and instantly whenever a customer profile changes.

How are detection rules created?

Business users build rule and scenario conditions in the UI without programming, combining conditions and tuning thresholds to match the institution's risk appetite.

Can rules be tested before going live?

Yes. Rules and scenarios can be backtested against your historical transaction data, with performance statistics to help tune thresholds before deployment.

Does the platform use AI?

AI in AmlShield is an opt-in assist layer for investigations — summaries and narratives — configured per capability and audited on every use. Detection itself is deterministic rules and scenarios, fully explainable to examiners.

Can risk scoring be customized?

Yes. Risk factors, weights, profiles, and templates are fully configurable per institution and can be tuned for specific risk types, customer segments, or regulatory requirements.

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Ready to uncover hidden risks?

See how configurable risk intelligence can transform your compliance program