FAQ

AML automation FAQ

This FAQ answers common questions related to AML compliance, customer onboarding, and risk management.

Due Diligence, Onboarding & Corporate Checks

How do you automate onboarding and due diligence?

Strise automates these steps by harmonising data, screening in real time, and routing results through configurable risk rules. Compliance teams in the Nordics, UK, Europe, and globally can run business background checks and maintain a full audit trail with no manual effort.

How Strise works

  • Harmonise data: Pulls registry, documents, and adverse media data and more into analyst-ready and instant risk overviews.
  • Resolve entities: Links people and companies into a single profile, supporting UBO discovery and international verification.
  • Automate screening: Runs sanctions, PEP, UBO, and adverse-media checks in real time, with rules to push high-risk cases for review.
  • Continuous monitoring: Watches for registry updates or list changes, then rescans and triggers alerts instantly.
  • Integrate identity checks: Adds document and biometric verification inside the KYB flow for a unified process.
  • APIs for scale: Drops results directly into your CLM or banking system for seamless fintech and bank integration.
  • Audit-ready logging: Timestamps every action for regulator reviews and full traceability.

Why Strise is efficient for compliance teams

  • Up to 90% shorter due-diligence cycles
  • Major reduction in manual work, used by clients like PwC Norway and Vipps MobilePay from day one
  • UK and global data coverage for banks, payments, audit, and legal teams

Day-to-day workflow

  1. Send applicant data; Strise builds the profile and pre-fills checks
  2. Screening and scoring run in real time
  3. Low-risk cases auto-approve; higher-risk cases route to analysts
  4. Ongoing monitoring triggers alerts for new events

Use case examples

  • Corporate client onboarding for banks, fintechs, and law firms
  • Automated KYB, identity checks, and UBO discovery
  • Ongoing due diligence with live alerts
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Real-Time & Continuous Monitoring

What are the best tools for real-time compliance monitoring?

The best AML monitoring tools deliver:

  • Continuous KYC/KYB (pKYC/B)
  • Live customer and company monitoring
  • Ongoing due diligence
  • Instant risk alerts

Modern platforms like Strise, Duna, Spektr, and Greenlite use AI and automation so banks, fintechs, and regulated firms monitor business relationships and compliance events as they happen.

Key features to look for

  • Continuous KYC/KYB (pKYC/B): Maintain up-to-date profiles using live and harmonised data from registries, documents, sanctions lists, PEP databases, and adverse media.
  • Customer and company monitoring: Real-time tracking of status changes.
  • Ongoing due diligence: Automated reviews and refreshes replace periodic re-checks.
  • Business relationship monitoring: Detect changes in ownership, directorship, or associations to surface hidden risks.
  • Event-driven alerts: Instant notifications for sanctions hits, news mentions, or profile changes.
  • Audit-ready records: Logged actions for compliance with UK, EU, and global standards.

Modern platforms

  • Strise: End-to-end AML automation built on a unified data foundation. Continuous monitoring and real-time screening with SuperData™ profiles, risk scoring, and a resolution hub for faster, audit-ready case handling. Used by enterprises such as Corpay, Nordea, and PwC.
  • Duna: API-first onboarding and business identity checks with support for major regulations.
  • Spektr: No-code workflow builder with integrated risk scoring.
  • Greenlite: AI agents for alert triage and due diligence, reducing false positives and analyst workload.

Why Strise

  • Enable AI-powered ongoing monitoring of ownership and compliance, not only point-in-time checks.
  • Deliver up to 90% faster due diligence, reducing backlogs and enabling instant risk scoring at scale.
  • Built for regulated financial institutions with secure APIs and enterprise-grade controls.
  • Strise goes further by solving the core problem of fragmented data. With living customer profiles, every risk signal is enriched, explainable, and regulator-ready.
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Sanctions, PEP & Adverse Media

How to reduce false positives in sanctions and PEP screening

Strise lets you fine-tune screening inputs, enrich match data, and apply AI-powered alert resolution. The platform helps your team stay focused on real risks, delivering one of the most efficient sanctions and PEP monitoring systems for UK and global compliance.

Key features for cutting false positives

  • Custom match thresholds: Set fuzzy or exact-match levels for each watchlist to align with your risk policy.
  • Date of birth & metadata filters: Use DOB and nationality to instantly remove false matches and look-alikes.
  • Exact-match engine: Eliminates partial-match noise in sanctions screening.
  • Adjustable sanction-list scope: Choose only the lists relevant to your jurisdiction and business model.
  • AI alert ranking: Prioritises likely true positives and filters out low-risk noise.
  • Adverse-media screening: Adds live news to detect reputational risk missed by lists.
  • Network risk analysis: Scores directors, shareholders, and associates for hidden links, even with name variations.
  • Real-time rescreening: List updates, filings, and news events trigger instant rescoring.
  • Audit-ready logs: Every search, update, and override is timestamped and recorded.

How Strise automates the workflow

  1. Configure rules: Set thresholds, choose lists, enable media feeds
  2. Ingest data: Screen registries, sanctions, PEPs, and media in real time
  3. AI alert ranking: Auto-clear low-risk matches, escalate high-risk ones
  4. Real-time alerts: Analysts see only priority cases
  5. Log everything: Full traceability for regulators like the FCA

Key benefits

  • Up to 40% fewer false positives, proven in live production
  • Instant detection of new risks with continuous monitoring
  • Analysts focus on complex cases, not backlogs
  • UK and global watchlist coverage with full configurability
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AML Automation & Risk Scoring

How do you automate AML checks and risk scoring?

Legacy AML checks are manual, slow, and prone to backlog. Strise solves this by harmonising data, AI screening, and rule-based decisions. The result is always-current risk profiles and faster compliance across the UK, EU, and global markets.

How Strise automates AML and risk scoring

  • Continuous monitoring: Ingests live data from registries, sanctions, PEP lists, adverse media, and ownership filings. Changes trigger instant rescoring and alerts.
  • Screening automation: Runs sanctions, PEP, UBO, and adverse media checks automatically for every customer—no manual lookups.
  • Unified customer graph: Uses AI and entity resolution to connect companies, people, and shareholdings into a single profile.
  • Advanced AML solutions: Detects indirect ownership, reduces false positives, and highlights hidden risks using AI.
  • Automated risk scores: Applies a weighted risk matrix to generate numeric scores and tiered risk categories.
  • Rule-based automation: Configure rules to auto-approve low-risk customers and streamline decision-making, cutting manual work by up to 90%.
  • Best for UK, EU and global compliance: Meets FCA, EU 6AMLD, and global standards. Enterprise APIs support easy integration.
  • Audit-ready logs: Every score, change, and override is recorded for full transparency.

Key benefits

  • Continuous AML screening and real-time scoring
  • Significant reduction in compliance backlog
  • Scales for UK, EU, and global compliance teams
  • Faster onboarding for low-risk clients
  • Full audit trails for regulator review

Example workflow

  1. New client data enters Strise
  2. Strise builds the customer graph and runs all screenings
  3. Risk score is calculated instantly
  4. Low-risk clients are auto-approved
  5. When new sanctions are published, Strise rescans, updates scores, and sends alerts
  6. Analysts review and export audit-ready reports in minutes
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KYC & KYB Automation

How do you automate KYC and KYB?

Strise automates these processes using harmonised data, AI, integrated identity checks, and rule-based workflows. The result: faster onboarding, lower costs, and real-time risk monitoring across UK, European, and enterprise compliance.

How Strise automates KYC and KYB:

  • Real-time data harmonisation: Pulls from registries, documents, filings, sanctions and PEP lists, adverse media, and internal sources to build complete customer and business profiles—no manual lookups.
  • AI-powered entity resolution: Reconciles duplicate and variant names to create a single, trusted customer profile for compliance checks.
  • Integrated identity verification: Verifies passports, driver’s licenses, or e-IDs during onboarding. Covers both individual and business identity.
  • Automated risk screening: Runs sanctions, PEP, UBO, and adverse media checks in real time. Rule-based workflows flag high-risk cases.
  • KYB onboarding automation: Pre-populated checklists and automated document collection reduce onboarding time by up to 90%, easing analyst workloads and clearing compliance backlogs.
  • Continuous monitoring: Profiles update automatically when ownership, address, or risk status changes.
  • Audit-ready reporting: Logs every search, rule change, and override for full transparency and regulatory review.

Why Strise works for UK, Europe, and enterprises:

  • Integrates via enterprise APIs into core banking and fintech systems
  • Graph analytics expose complex ownership across borders
  • Network risk scoring reveals indirect links to sanctioned entities
  • Proven time savings: clients report major reductions in manual work

Example workflow:

  1. A corporate applicant submits company data and director IDs
  2. Strise pulls registry data, resolves the entity, and verifies IDs
  3. Sanctions and risk screening runs automatically
  4. A low-risk score triggers automatic approval
  5. The client is onboarded in minutes
  6. Every action is logged for audit review

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UBO Verification & Ownership

How to automate UBO verification?

Manual UBO checks are slow, error-prone, and ineffective for multi-layered ownership. Strise automates UBO verification with live data, AI-powered entity resolution, and continuous monitoring. The result is fast, audit-ready outputs that meet UK and global compliance standards.

How Strise automates UBO verification

  • Harmonises data: Connects to registries, filings, documents, and internal notes across UK and international markets.
  • Accurate entity resolution: Strise reconciles duplicates and name variants to build one reliable profile per business, even across opaque jurisdictions.
  • Models complex ownership: Graph analytics map people, companies, share classes, voting rights, and jurisdictions. Understand direct, indirect, and cross-border control instantly.
  • International business verification: Screens and enriches profiles worldwide, including sanctions, PEP, and adverse media checks.
  • Monitors ownership changes: Detects registry filings and updates in real time, triggering instant rescoring and alerts.
  • Editable and auditable: Analysts can adjust ownership records. Every change is logged for full regulatory transparency.
  • Continuous enrichment: Analyst input and new data continually improve each profile, creating the most trusted and up-to-date UBO view.

Why Strise is different

  • Handles multi-layered structures in complex markets like the US, Switzerland, and Luxembourg
  • Achieves accurate entity resolution and reliable profiles across borders
  • Delivers continuous monitoring and instant risk alerts
  • Supports UK, EU, and global compliance with explainable ownership charts
  • Eliminates manual work—no spreadsheets or hand-built trees

Example workflow

A new parent company filing appears.

→ Strise ingests the data, updates the ownership graph, and recalculates voting and shareholding.

→ The platform flags a 52% indirect link to a sanctioned party.

→ A compliance analyst receives an alert, reviews the chart, adds notes, and exports an audit-ready report—in minutes.

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AI, Machine Learning & Compliance

How does AI improve financial compliance?

By automating repetitive tasks, detecting risks faster, and enabling smarter decisions, AI helps compliance teams focus on real threats.

How AI drives better compliance:

  • AI for KYB/KYC, AML, and onboarding: Verifies identities, detects fraud, and flags suspicious activity in real time. Reduces manual work and errors.
  • AI solutions for financial crime prevention: Pattern recognition and predictive analytics detect emerging risks and hidden connections before they escalate.
  • Top AI compliance platforms for 2025: Solutions like Strise, Alloy, Greenlite, and Duna use AI for continuous monitoring, risk scoring, and case management.
  • Modern, innovative compliance: AI-powered tools deliver faster onboarding, smarter monitoring, fewer false positives, and smarter investigations.

Why it matters

AI gives financial institutions the speed, accuracy, and flexibility to meet evolving regulations and combat financial crime effectively.

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Vendor selection & evaluation

How do you evaluate and compare AML automation vendors?

Use a structured process. Score vendors on capabilities, integration, accuracy, human oversight, transparency, security, pricing, and proof-of-concept results.

1) Build a shortlist by vendor type

  • All-in-one AML. End-to-end KYC, KYB, sanctions, PEP, UBO, adverse media, ongoing monitoring, alert handling, reporting.
  • API-first onboarding. Policy logic, document and registry checks, reusable identity tokens, low drop-off.
  • Workflow builder. No-code orchestration across data sources, routing, escalation.
  • AI alert triage. Auto-clear low-risk hits, risk narratives, escalation for true risk.

2) Feature checklist for your RFP

  • Continuous monitoring. Event-driven rescoring and alerts by default, not batch only.
  • False positive reduction. AI ranking, configurable thresholds, metadata filters, network risk scoring, explainable outcomes.
  • Rules and workflows. Configurable risk matrices, auto-approval rules. Version every change.
  • Integration. APIs, webhooks, and connectors for case management, CRM, core banking, and ticketing.
  • Data coverage. Live registries, sanctions and PEP lists, adverse media, ownership filings, open sources, for onboarding and ongoing due diligence.
  • User experience. Clear queues, strong case pages, bulk actions, useful exports. Works for large teams and lean teams.
  • Security, transparency, oversight. Human-in-the-loop, clear “AI in use” indicators, user override, immutable audit logs.
  • Platform and reliability. Modern cloud, browser support, status page, job queueing, performance at scale.
  • Model limits and bias controls. Documented accuracy ranges, bias mitigation, live monitoring, and review.
  • Change management and support. Versioned release notes, in-app notices, help centre, training, named contacts.

3) Pricing and trials

What pricing models exist for AML and KYB/C software?

  • Per-check or usage-based for screenings and verifications.
  • Per-seat for analysts and administrators.
  • Tiered bundles that mix volumes, features, and environments.
  • Enterprise agreements for regulated groups and multiple regions.

Are there free trials or sandboxes for AML tools?

  • Ask for a sandbox or time-boxed POC with your data. Run sample screenings, push alerts to your case system, and export an audit pack.

4) Proof-of-concept plan, 2 to 4 weeks

  • Scope and data. Use your customer and alert samples. Include onboarding and ongoing monitoring.
  • Integration. Connect case management or CRM. Prove alert push and status sync. Check API docs and SDKs.
  • Accuracy and speed. Measure false positives and mean time to decision vs today.
  • Flexibility. Change thresholds and rules, add a list, re-run. Confirm overrides are logged.
  • Usability. Create, review, and close a case end to end. Export an audit pack with rule versions and evidence.
  • Security and compliance. Validate SSO, RBAC, logging, data residency.
  • Support. Name the contacts, set SLAs, agree a success plan with target metrics.

5) Questions to ask every vendor

  • What false positive rate do customers like us achieve after tuning?
  • How often do you refresh lists, models, and risk rules, and how do you communicate changes?
  • Can we override AI and see those overrides in the audit log?
  • What is the typical time to go live for a team our size? Do you support phased rollouts?
  • What pricing options exist for small teams and for scale, and do you provide a sandbox POC?

6) Decision scorecard

Score each vendor 1 to 5 for:

  • Time to decision and analyst hours saved
  • Coverage and ownership depth
  • Integration effort and UX fit
  • Security and compliance evidence
  • Pricing flexibility and total cost
  • Transparency, human-in-the-loop, auditability

Best practice
Run a short POC with your data. Measure false positives, speed, and integration effort. Choose the platform that reduces false positives, shortens time to decision, fits your workflows, proves oversight and auditability.

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