Sanctions & PEP Screening
Screen customers and entities against sanctions, PEP and watchlist data while documenting the rationale behind match decisions.
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AML & Financial Crime Compliance
Sentinel AML
Unify financial-crime detection and investigation.
Sentinel AML brings sanctions and PEP screening, transaction monitoring, network analysis, AI-assisted alert triage, case management and SAR/STR preparation into one explainable compliance platform.
The business challenge
Why organisations consider this solution.
AML teams often work across disconnected screening, monitoring and case tools. Fragmented evidence and excessive false positives slow investigations and make regulatory decisions harder to explain.
Core capabilities
What Sentinel AML
helps you do.
Transaction Monitoring
Apply configurable monitoring typologies and back-testing to identify suspicious behaviour while improving rule quality.
Network Analysis
Visualise entities, counterparties and hidden relationships to uncover linked activity and potential laundering networks.
AI-Assisted Case Management
Gather case evidence, prioritise alerts and prepare explainable, audit-ready investigation summaries and SAR/STR narratives.
Reference architecture
See the actual
solution topology.
Unify customer screening, transaction monitoring and network analysis so investigators can move from a risk signal to a documented decision. The diagram below shows the product's distinct operating model, data paths and enforcement or decision points.
Illustrative reference architecture — final design depends on the customer environment and vendor-supported integration pattern.
Example use cases
Apply the architecture
to a real scenario.
These examples explain the business purpose behind the architecture. Final scope, integrations and outcomes depend on your environment and implementation design.
01Customer onboarding
Resolve a sanctions or PEP match
A new customer produces a possible name match that must be reviewed without blocking every applicant.
- 1Screen identity and related parties
- 2Score the match with contextual data
- 3Document disposition and approval
Expected resultConsistent risk decisions with a complete audit trail.
02Transaction monitoring
Identify structuring behaviour
Multiple smaller transactions may be designed to avoid a reporting threshold.
- 1Monitor transactions across accounts and time
- 2Group related patterns and entities
- 3Create one prioritised investigation
Expected resultA fragmented pattern becomes visible as a coherent risk case.
03Network investigation
Expose hidden related parties
Accounts that look independent share devices, beneficiaries or transaction paths.
- 1Link people, accounts and counterparties
- 2Visualise the relationship network
- 3Escalate high-risk clusters with evidence
Expected resultInvestigators see the wider network instead of reviewing isolated alerts.
Delivery path
From requirement
to production value.
The exact architecture depends on your environment, but the solution typically follows this practical operating flow.
Screen customers and entities
Check onboarding and ongoing records against relevant sanctions, PEP and watchlist sources.
Monitor transaction behaviour
Evaluate activity against typologies, customer context and configured risk thresholds.
Connect the evidence
Use network analysis and AI-assisted triage to link parties, transactions, alerts and prior history.
Investigate and file
Manage the decision trail, enhanced due diligence and regulator-ready SAR or STR reporting from one case view.
Typical use cases
Where it fits.
- Sanctions, PEP and watchlist screening
- AML transaction monitoring
- Financial-crime network analysis
- Case management and SAR/STR preparation
Expected outcomes
What success looks like.
- One connected AML investigation surface
- Faster alert triage and case preparation
- More explainable compliance decisions
- Audit-ready evidence from screening to filing
DLAB's role
Technology is only valuable
when it works in your environment.
DLAB helps customers evaluate the fit, define use cases, coordinate solution demonstrations and proofs of concept, plan deployment with the principal and local partners, and establish the support path for production.
Arrange a solution workshop