Disconnected evidence
Customer records, transactions, screening results, and analyst notes sit apart, making investigations slower and less complete.
AML · fraud · explainable risk
Financial crime intelligence. Built into your workflows.
Merid brings AML, fraud detection, and explainable risk scoring into one API-first platform, with the investigation workspace your compliance team needs.
API-first deliveryAnalyst reviewInvite-only access
EXECUTIVE OVERVIEW
Risk operations at a glance
Illustrative activity · synthetic data
TodayThis weekThis month
TRANSACTIONS PROCESSED12,480€2.4m available activity
ALERTS GENERATED3712 require review
CASES OPENED128 currently assigned
ALERT RATE0.30%Illustrative ratio
Live workloadCurrent operational backlog
Live posture12Open alerts4High priority8Open cases3Unassigned1Pending approval
Platform activityTransactions and resulting investigation workload
Today ▾For compliance, fraud, product, and integration teams at
Payment providersDigital banksLending platforms
The operational problem
More signals do not automatically create better decisions.
Alert overload
Queues are difficult to prioritise when every trigger arrives without behavioural context or a clear reason for review.
Inconsistent decisions
Changing controls need visible policy logic, linked evidence, and a repeatable way to document analyst judgment.
One operating view
Connect detection, assessment, and investigation.
Merid is designed to connect product data and compliance work: ingest supported customer and transaction data, prepare risk and alert context, and keep the consequential decision with the analyst.
For product teams
API-first integration
Send supported customer and transaction data and bring available screening, detection, and scoring outputs into existing workflows.
Request integration documentationFor compliance teams
Analyst platform
Review customer activity and alerts, investigate related evidence, and document policy-led decisions in one working context.
See the investigation flowAPI schemas and authentication details are shared through the controlled evaluation process. Platform access remains invite-only.
Core capabilities
Give every risk signal a path to review.
Capability availability depends on the configured deployment and data integrations. Confirm the exact scope for your workflow during evaluation.
AML monitoring
Apply configured transaction scenarios to customer context and route unusual patterns into review.
Practical use
Review rapid movement of funds that differs from an SME’s expected activity. An alert supports investigation; it does not prove money laundering.
Anti-fraud signals
Bring supported onboarding and behavioural indicators—such as email, phone, IP, VPN, and device signals—into a wider risk assessment.
Practical use
Examine linked onboarding activity or a sudden behavioural change. Digital signals add context; they do not establish identity on their own.
Explainable risk scoring
Assess customer and transaction risk with visible drivers, source events, and data-quality context.
Practical use
See why a customer’s financial-crime risk changed and which activity requires review. A score is not credit underwriting or a guarantee of safety.
Screening context
Review potential sanctions and PEP matches from configured data integrations alongside customer and transaction evidence.
Practical use
Resolve a possible name match before it influences the wider assessment. A potential match is not a confirmed finding.
Alerts and cases
Use alerts to identify events or patterns; group related alerts and evidence into a case for investigation.
Practical use
Prioritise review, assign ownership, examine customer context, and record the analyst’s outcome where the configured workflow supports it.
Follow the money
Trace available fund movements across accounts and counterparties with connected graph and timeline views.
Practical use
Review split payments, rapid onward transfers, circular flows, and entity links using only the transaction data supplied to Merid.
Scenario Studio
Organise AML and fraud scenarios by theme, review their documentation, and enable or disable applicable controls.
Practical use
Give analysts a clear view of which documented scenarios are active without claiming automated regulatory mapping or approval workflows.
API and analyst workflow
Connect product data to detection and scoring services, then give compliance teams a workspace for review.
Practical use
Product teams integrate supported outputs into existing flows while analysts investigate the underlying customer and transaction evidence.
Financial crime intelligence
Specialized AI for financial crime detection and investigation.
Merid’s analytical approach separates explicit controls and numerical detection from language-based interpretation. The result is evidence prepared for review—not an autonomous compliance decision.
Designed to support the analystLinked source evidenceUnderstandable risk driversVisible missing informationReviewable assessments
- 01
Rules
Apply explicit controls to known scenarios and policy conditions.
- 02
Statistical analysis
Identify deviations from expected customer or peer behaviour.
- 03
Machine learning
Find anomalies across multiple supported signals and help prioritise review.
- 04
Language interpretation
Put structured findings into context and prepare a sourced narrative for analyst verification.
Practical workflow
From product data to a documented decision.
- 01
Ingest
Send supported customer and transaction data.
- 02
Analyse
Apply configured controls and analytical signals.
- 03
Prepare
Return risk context or create an alert for review.
- 04
Investigate
Connect the event to customer, transaction, and screening evidence.
- 05
Decide
Let the analyst document the outcome under policy.
Illustrative SME example · synthetic data
Financing arrives. Funds disperse quickly. Activity differs from the stated profile.
Merid can prepare the timing, new-counterparty, payment-splitting, and customer-profile signals that warrant review. The analyst then checks invoices, contracts, beneficial ownership, and the commercial explanation.
The pattern is a review trigger. It is not proof of laundering, and regulatory reporting is not presented as automatic.
Investigation depth
Move from a trigger to the pattern behind it.
Follow available fund movements and manage documented scenarios in the same analyst platform.
Follow the money
Trace available fund movements across received accounts and counterparties, with graph and timeline views for split payments, rapid transfers, circular flows, and entity links. Visibility remains limited to data supplied to Merid.
Scenario Studio
Organise documented AML and fraud scenarios by theme, review control documentation, and enable or disable applicable controls. Backtesting, regulatory mapping, and approval workflows are not claimed.
Resources
View all articles Build a clearer risk-scoring practice.
What Is AML Risk Scoring? A Practical Guide for Fintechs
A practical explanation of customer and transaction risk, risk bands, missing information, and analyst review for fintech compliance teams.
Read articleStatic vs. Dynamic Risk Scoring: When Customer Risk Changes
How initial customer assessments, ongoing activity, event-driven updates, and review triggers work together in a dynamic AML risk programme.
Read articleExplainable Risk Scores: Turning Signals into Defensible Decisions
A practical framework for reason codes, evidence links, data quality, overrides, and documented AML risk decisions.
Read articleBook a focused walkthrough
See Merid in your compliance workflow.
Explore how your team can connect detection, risk scoring, and investigation in one platform.
- Discuss your customer and transaction data flow.
- Map supported outputs to analyst decisions.
- Confirm current capability and integration availability.